SlideShare a Scribd company logo
1 of 10
Download to read offline
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867
Copyright © Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria.
Print ISSN: 1596-2490, Electronic ISSN: 2545-5818, www.azojete.com.ng
858
A REVIEW OF SMART GRIDS DEPLOYMENT ISSUES IN DEVELOPING COUNTRIES
A. O. Otuoze1
*, A. M. Usman1
, O. O. Mohammed1
and A. A. Jimoh2
1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology,
University of Ilorin, Ilorin, Nigeria
2
Department of Electrical and Electronics Engineering, The Federal Polytechnic Offa, Offa, Nigeria
*Corresponding Author’s email address: otuoze.ao@unilorin.edu.ng
Abstract
Smart Grids (SGs) have taken a centre stage in achieving a smarter, more reliable, robust, secured,
economically efficient and more environmentally friendly mode of power generation and utilisation. Massive
deployment is being recorded in developed worlds. While most of these countries are investing heavily in the
development of SGs, well-articulated areas of research and development are key aspects with special
emphasis on its security since it involves complex interconnection of units and systems which are expensive
to install and maintain. In developing nations, especially those of Africa, realisation of adequate power
supply to meeting the ever-growing demand has been a mirage with demand on geometric increase and with
every increase largely meaning a drift away from the supply. Hence, attention is focused on capacity
expansion in most developing nations rather than SGs deployments especially considering the various
challenges militating against the development despite the huge advantages. Although, some of these nations
have made tremendous achievements in this regard, the associated challenges have become major source of
worry for most of the nations. This paper gives highlights of these issues and possible measures of
overcoming them in order to enhance sustainable SGs deployments in developing countries like Nigeria.
Keywords: Smart Grid, Smart Electric Meter (SEM), Power Network, Challenges, Security, Developing
Nations
1. Introduction
The quest for an improved power system network worldwide has called for imminent research,
investment and upgrade in the power sector. Worldwide, average annual electricity demand is
expected to increase more than twice from 1.3% per year in 2015 to about 2.8% by 2020(Smart
Grid Top Markets Report 2017). Hence, the deployment of Smart Grids (SGs) for a more efficient
operation of the power system. SGs provide a bidirectional communication as well as connect
intelligently all power network supply and monitoring devices for a reliable, secured and resilient
power delivery (Bigerna, Bollino, & Micheli, 2016; Colak, Fulli, Sagiroglu, Yesilbudak, & Covrig,
2015; Fadaeenejad et al., 2014; Fan and Gong, 2013; Kezunovic, 2011; Li and Cao, 2011; Shuaib,
et al., 2015; Smart Grid Top Markets Report 2017). This enables enhanced planning, deployment
and possible expansion of the grid (Eissa, 2015; Kezunovic, 2011; Sridhar, et al., 2012).
It was estimated that SG will gulp about $200 billion investments in infrastructure worldwide from
2010 to 2015 and its global market potential will nearly double by 2020 to about US$73 billion in
annual revenue and US$461 billion in cumulative profit (Fan & Gong, 2013). Russia, China and
India are a few of the developing nations making giant stride in SG deployments (African
Economic Outlook 2016; Fadaeenejad et al., 2014). Thailand and India have budgeted US$ 13
billion (for the next 15 years) and USD 5.8 billion (for a five year plan) (Fadaeenejad et al., 2014;
Kumar, et al., 2014) to improve their power infrastructure respectively, with Malaysia targeting an
Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries.
AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
859
expenditure of $109.0 million by 2016 (World Bank Open Data 2016). Figure 1 shows the
investment in SG by region as at 2012 (Rogers, 2013)
Figure 1: SG Investment by Region as at 2012 (Values in $ billion)
The security issues worldwide are major concerns in this deployment and has necessitated various
researches (Amin, 2012; Gharavi and Hu, 2013; Giani, et al., 2012; Li, et al., 2014; Wei, et al.,
2011). Although, the general security issues of SG deployment are overwhelming but as developing
nations hope to widen investments in SGs with many other countries in the region springing up for
power network upgrade, there are peculiar security issues regarding the deployments.
This paper presents some of the worrying challenges militating against the deployment of SGs in
the region, giving a brief account with peculiarity to developing nations from Sub-Saharan Africa,
using Nigeria as example. The issues raised are pointer to the impending security challenges which
slowed the pace of SG deployments in developing nations.
The rest of this paper is organised as follows. Section 2 presents the related issues emanating from
the Demand-Supply gap while section 3 discusses issues related to the deployment of Smart
Electricity Meters as well as cases of electricity thefts. Cyber-attacks, vandalization, infrastructure
theft and terrorism are discussed in section 4 and section 5 presents the highlights of issues
concerning poor research and investments. In section 6, low budgetary allocations, poor regulatory
policies and corruption are briefly discussed as they affect SGs deployments while section 7 gives
the conclusion and recommendation for further study.
2. Demands-Supply Gap
Most developing nations have suffered shortage of electricity for years, with a wide gap in the
demand and supply (Gaur and Gupta, 2016; Kemausuor, et al., 2011; Kessides, 2013). Also, many
of the Nations lack requisite access to electricity; some are however, able to provide 100% access of
electricity to its citizens while others especially the Sub Saharan Countries are lagging far behind
(World Bank Open Data 2016) as shown in figure 2.
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
860
Figure 2: Access to Electricity (% of Population) of selected Regions and Countries as at 2012
One of the most contributory factors militating against SG deployment is the wide gap of supply
compared to the demand as reported for Ghana, South Africa, Pakistan, India, Nigeria etc. (Gaur
and Gupta, 2016; Kemausuor et al., 2011; Kessides, 2013) and many developing nations. This
impact negatively on the economy, which include but not limited to low international
competitiveness and exports, increased poverty level, killing of local manufacturing sectors and
hence low country’s growth in terms of GDP (Kessides, 2013) are the major consequences of the
low or irregular power supply. With this poor access to electricity, SG deployment is hindered since
constant energy supply critical to the present-day world (Akorede, et al., 2017) cannot be
guaranteed to serve both individual and community needs. Also, countries who are yet to deploy
this technology to a reasonable level are likely going to concentrate on improving their generation
capacity even though urgent deployment of SG will help in the efficient management of the system
especially by improved monitoring, control and metering.
3. Roll out of Smart Electric Meters and Electricity Theft
Smart electric meters (SEMs) are installed to help measure energy flow values and transmit the
energy consumption data to both the utility and customer as well as making the data available via
Advanced Metering Infrastructure (AMI), for billing, planning, and control actions (Geelen, et al.,
2013; Jiang et al., 2014; Siano, 2014). The SEMs offer huge advantages in energy billing,
monitoring and management, energy saving, improved metering by reducing power theft, enhancing
revenue generation, effective demand side management and security (Abdulrahman, et al., 2016;
Amin, 2012; Smart Grid Top Markets Report 2017). The AMI is a key component of SGs
deployment. It employs the use of smart meters (SMs) at substations and customer ends (Shuaib et
al., 2015). It is a subsystem of the SGs which provides bidirectional communication between the
SMs and the utilities by helping in real-time transmissions of consumption data, control commands
and pricing information usually at specified interval (Jokar, 2016; Shuaib et al., 2015). The
Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries.
AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
861
introduction of AMI digitalises the electricity metering system compared to the old mechanical
meters (Fatemieh, et al., 2010; Jiang et al., 2014). Since early 2000s, SMs have been deployed
around the globe as key element of SGs.
The prime functions and applications of SMs include real-time energy consumption data capture,
remote and local reading capability, fast outage detection and supply management, remote
controlled access, integrated ability to other commodity supplies, interoperability within the SGs,
device and energy status capture, demand response, faster diagnosis of faults, electricity theft
detection and support for distributed generations (DGs) (Alahakoon and Yu, 2016; Altmann et al.,
2011; Fatemieh et al., 2010; Jiang et al., 2014).
Globally, 313 million SEMs were reportedly installed as at 2013 and could rise to about 1.1 billion
in 2023 (Shuaib et al., 2015). 852 million SEMs was projected to be installed worldwide by 2018
(O'Malley, 2014). In 2013, Zimbabwe Electricity Supply Authority (ZESA) reportedly installed
about 573,667 units targeting installation of 800,000 units by 2018. Uzbekistan, India and Pakistan
have been enjoying some support by Asian Development Bank in the financing of their SMs project
(Metering.com Data).
In effort to fast-track the roll out of SEMs, Nigeria introduced Credited Advanced Payment for
Metering Implementation (CAPMI) scheme in partnership with EcoBank, but the scheme met a stiff
opposition due to the unwillingness of customers to finance the installation using their own money.
Later, CAPMI was terminated since it could not achieve its aim. Complacency by the distribution
companies (Discos) was also a major reason expressed in some other quarters as cases were
reported where consumers managed to pay the power distribution companies (DISCOs) for SEMs
and are not promptly supplied and installed by the DISCOs. In most of these cases, consumers have
to wait for at least, 15 months before being supplied. Sometimes, they even have to bribe their way
out. This has led to consumers being continuously charged on estimated billing, which eventually
leads to cheating on the consumers; and the consumers also look for way to engage in energy theft.
Nigeria’s Kaduna Electricity Distribution Company (KEDC) promised its manufacturing plant in
Kaduna will help the company roll out 500,000 SEMs to meet its set target by 2021. Overall,
reports show that the Discos have only managed to deploy a few of hundred thousand which is very
poor in a country as big as Nigeria (Metering.com Data).
Electricity theft, high cost of SEMs, billing irregularities via the conventional meters by the
DISCOs resulting in over-billing of customers coupled with the bureaucratic procedures involved in
SEM installations are some unfortunate challenges against smooth deployment of SGs. Often,
DISCOs fail to read the conventional meters while they bill customers and since electricity is highly
unstable, they seem to be making higher revenues compared to having customers with SEMs and
hence, would rather frustrate the efforts on SEMs distributions. A development to which Nigeria’s
Electricity Regulatory Commission (NERC) has repeatedly threatened sanctions but has done little
or nothing to sanction erring DISCOs. Hence, posing appalling challenges to the deployment of SGs
in a country like Nigeria.
One of the major source of loss for utility companies is electricity theft causing them huge losses
and preventing further investment plans (Sharma, et al., 2016). Unpaid electricity bills, billing
irregularities, smart meter manipulations and cyber-attacks, corruption of employees (e.g.
misappropriation of funds, illegal procurement, sale and installation of prepaid meters, helping
customers in meter bypass etc.) and other related fraudulent activities militating against SG
deployments. SEMs have come under series of electricity theft techniques including bypass, cyber-
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
862
attacks etc. Electricity theft has evolved as the major security challenge worldwide as huge losses
are being reportedly incurred by utility operators and governments. Each year, utilities reportedly
lose more than $25 billion worldwide (Jiang et al., 2014) causing every player high dissatisfaction.
As a palliative measure, some governments reportedly grant subsidies to enable utility companies
keep customers’ bills low (Mohammad, et al., 2013; Sharma et al., 2016). About $25 billion is
reportedly lost to power theft globally on yearly basis (Jiang et al., 2014; Sharma et al., 2016). In
some Sub-Saharan African, South-East Asia, Latin America and Middle east, huge losses in various
range have been reported (Gaur and Gupta, 2016; Jamil and Ahmad, 2014; Jiang et al., 2014;
Nikovski et al., 2013) and many cases are either partially reported or left unreported.
Government subsidies, encouragement of local production as in the case of KEDC, adequate
database of customers, proper regulatory policies for monitoring and control by government and
utility companies will help in SEMs deployments and monitoring against power thefts. Engineers
and Researchers are continuously working on various techniques for curbing the menace of
electricity theft.
4. Cyber-Attacks, Vandalization, Infrastructure Theft and Terrorism
Cyber-attacks are global phenomenon affecting countries, companies, institutions, security
agencies, infrastructures etc. They are capable of inflicting heavy damages to both physical or the
programmes on which the control relies. SG is made vulnerable to cyber threats by the fact that it is
dependent on information technology (Stefanov and Liu, 2014; W. Wang & Lu, 2013; X. Wang &
Yi, 2011). Globally, an estimated sum of US$445 billion is spent yearly in combating cyber-crimes
(Khodaei et al., 2016; Lala and Panda, 2001) with many developing nations budgeting little or
nothing to fight cyber-crimes. So, the deployment of SG must be accompanied with well-structured
cyber-security for a secured and resilient system. Various approaches have been proposed to curb
cyber security threats and attacks as contained in (Genge, et al., 2015; Kreutz, et al., 2016; Lala and
Panda, 2001; Mo, et al., 2012; Stefanov and Liu, 2014; Wei, et al., 2011) etc.
Vandalism and theft of infrastructure are other aspects requiring key research to be able to
determine the exact value loss. In Africa, various reports dominate pages of newspapers daily on
either theft of power infrastructure or its vandalization. The recent Niger Delta attacks on oil and
gas infrastructure has led to shortage of gas supply which is a major impetus to power generating
companies. The Guardian Newspaper reported that estimated $14bn is required for the damage
caused (The Guardian 2015). While Nigeria, Mozambique, Zimbabwe, South Africa have also
reported various cases and losses due to vandalism and theft (APANews.net; ThisDay Newspaper
April 19 2016; ThisDay Newspaper May 9 2016). Several developing nations face similar fate.
Terrorism can come in form of physical attacks on infrastructure or cyber-attacks. The attacks could
be perpetuated by some terror groups such as ISIS, ISIL, Boko-haram and Al-Shabab or militancy
in form of Niger Delta Avengers (in Nigeria) or any other form of insurgency. They can be carried
out in form of war between states e.g. the war between Russia and Ukraine, Israel and Palestine.
Usually, the effects are so enormous that reportage is limited to causalities in terms of human lives
lost rather than infrastructure. Terrorism has cost the global economy huge sum of money (difficult
to properly estimate) and given the rising insurgency in most developing nations, SG deployments
is threatened by terrorism.
Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries.
AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
863
5. Poor Research and Investment
Research and development (R&D) in sub-Saharan Africa is at a notable low profile and with SG
deployment requiring several billions of dollars, continuous research is needed for a sustainable
deployment. SG research and investment in developed and emerging economies are on a steady
growth due to the high commitment in research and general investment. Developing nations must
emulate same for improvement in research and investment (both in human and capital resources).
This will enhance deployment efficiency and reduce the overall operational and maintenance
overheads. In addition, research institutions too must key into doing lots of works in coming up
with results that will enhance deployment of SGs in developing economy.
6. Low Budgetary Allocations, Poor Regulatory Policies and Corruption
Considering the cost of deployments of SGs, the low budgetary allocations of many developing
nations is another barrier. SG projects engulfed $14.9 billion in 2013 (Gonzalez, 2014). The current
economic downturn worldwide which has sent many developing nations to recession automatically
means low budgetary for the power sector (African Economic Outlook 2016). Priority must
however be given to some key aspects of SGs deployment since it helps run the power system more
efficiently.
Poor regulatory policies and implementation in most region of the developing nation is also worthy
of note as a barrier to SG deployment because consistency and a well-driven policy are key to
sustainable implementations. The regulatory bodies like the Nigerian Electricity Regulatory
Commission (NERC) is docile in carrying out its primary responsibility of regulating the power
industries. The major stakeholders (the Generating, Transmitting and Distributing companies) are
not playing by the rules. The regulators must be bold enough to heavily sanction any erring
stakeholder. They must be compelled to research into the future. Major deadlines must be set and
met as contained in laid regulatory policies as it relates to SGs deployment.
Furthermore, corruption has become a way of life of government officials and some highly placed
private individuals in most developing nations to such an extent that in some quarters, open war is
being declared to curb the menace as evident in Nigeria. Corruption also contributes a lot to power
theft increase as discussed earlier. Increased budgetary allocations, good and consistent regulatory
policies and a stiff penalty against corruption by the government will be helpful in SGs
deployments.
7. Conclusion and Recommendations
Various threats militating against SGs deployments in developing nations have been briefly
highlighted and discussed. Some of the ways by which SG deployments can be successful in these
countries include understanding the basics and needs for SGs, increased public and private sector
investments, research investments as well as well-structured regulatory policies and
implementation. Investors must be made to play by the laid down rules. The regulatory bodies must
be bold enough to carry out its statutory duties and sanction erring or compromising investors in
accordance with the laid down law. Government must create enabling environments for businesses
to thrive by addressing various agitations that often lead to public unrest. Power infrastructure must
be jealously protected against theft and vandalism. Government must create public awareness on the
need for citizen to jealously protect public infrastructures. Further research can be done by
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
864
identifying and classifying each of the source of threats for extensive research aimed at finding
lasting solutions to factors militating against massive deployment of SGs.
REFERENCES
Abdulrahman, AT., Isiwekpeni, OH., Surajudeen-Bakinde, NT., and Otuoze, AO., 2016. Design,
Specification and Implementation of a Distributed Home Automation System. Procedia Computer
Science, 94, 473-478.
African Economic Outlook, 2016. "Sustainable Cities and Structural Transformation".Accessed
September 12, 2016 via
http://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/AEO_2016_Report_Full_Eng
lish.pdf.
Akorede, MF., Ibrahim, O., Amuda, SA., Otuoze, AO., and Olufeagba, BJ. 2017. Current status and
outlook of renewable energy development in Nigeria. Nigerian Journal of Technology, 36(1), 196-
212.
Alahakoon, D., and Yu, X. 2016. Smart electricity meter data intelligence for Future Energy
Systems: A survey. IEEE Transactions on Industrial Informatics, 12(1), 425-436.
Altmann, M., Schmidt, P., Landinger, H., Michalski, J., Brenninkmeijer, A., Buscke, I., and
Barquín, J., 2011. Effect of smart metering on electricity prices. Study for the European Parliament,
130.
Amin, SM., 2012. Smart grid security, privacy, and resilient architectures: Opportunities and
challenges. Paper presented at the Power and Energy Society General Meeting, 2012 IEEE.
APANews.net. Mozambican power utility loses US$8m to energy theft, vandalism. Accessed May
16, 2017 via http://apanews.net/en/news/mozambican-power-utility-loses-us2018m-energy-theft-
vandalism.
Bigerna, S., Bollino, CA., and Micheli, S., 2016. Socio-economic acceptability for smart grid
development–A comprehensive review. Journal of Cleaner Production, 131, 399-409.
Colak, I., Fulli, G., Sagiroglu, S., Yesilbudak, M., and Covrig, CF., 2015. Smart grid projects in
Europe: Current status, maturity and future scenarios. Applied Energy, 152, 58-70.
Eissa, M., 2015. Protection techniques with renewable resources and smart grids—A survey.
Renewable and Sustainable Energy Reviews, 52, 1645-1667.
Fadaeenejad, M., Saberian, AM., Fadaee, M., Radzi, M., Hizam, H., and AbKadir, M., 2014. The
present and future of smart power grid in developing countries. Renewable and Sustainable Energy
Reviews, 29, 828-834.
Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries.
AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
865
Fan, X., and Gong, G., 2013. Security challenges in smart-grid metering and control systems.
Technology Innovation Management Review, 3(7), 42.
Fatemieh, O., Chandra, R., and Gunter, CA., 2010. Low cost and secure smart meter
communications using the tv white spaces. Paper presented at the3rd International Symposium on
Resilient Control Systems (ISRCS), 2010.
Gaur, V., and Gupta, E., 2016. The determinants of electricity theft: An empirical analysis of Indian
states. Energy Policy, 93, 127-136.
Geelen, D., Reinders, A., and Keyson, D., 2013. Empowering the end-user in smart grids:
Recommendations for the design of products and services. Energy Policy, 61, 151-161.
Genge, B., Kiss, I., and Haller, P., 2015. A system dynamics approach for assessing the impact of
cyber attacks on critical infrastructures. International Journal of Critical Infrastructure Protection,
10, 3-17.
Gharavi, H., and Hu, B., 2013. Dynamic key refreshment for smart grid mesh network security.
Paper presented at the Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES.
Giani, A., Bent, R., Hinrichs, M., McQueen, M., and Poolla, K., 2012. Metrics for assessment of
smart grid data integrity attacks. Paper presented at the Power and Energy Society General
Meeting, IEEE.
Gonzalez, M., 2014. Smart Grid Investment Grows with Widespread Smart Meter Installations.
Tech. Rep., Accessed on September 16, 2016 via
http://vitalsigns.worldwatch.org/sites/default/files/vital_signs_smart_grid_final_pdf.pdf.
Jamil, F., and Ahmad, E., 2014. An empirical study of electricity theft from electricity distribution
companies in Pakistan. Pakistan Development Review, 53(3), 239.
Jiang, R., Lu, R., Wang, Y., Luo, J., Shen, C., and Shen, XS., 2014. Energy-theft detection issues
for advanced metering infrastructure in smart grid. Tsinghua Science and Technology, 19(2), 105-
120.
Jokar, P., 2016. Detection of malicious activities against advanced metering infrastructure in smart
grid. University of British Columbia.
Kemausuor, F., Obeng, GY., Brew-Hammond, A., and Duker, A., 2011. A review of trends,
policies and plans for increasing energy access in Ghana. Renewable and Sustainable Energy
Reviews, 15(9), 5143-5154.
Kessides, I. N., 2013. Chaos in power: Pakistan's electricity crisis. Energy Policy, 55, 271-285.
Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867.
ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng
866
Kezunovic, M., 2011. Smart fault location for smart grids. IEEE Transactions on Smart Grid, 2(1),
11-22.
Khodaei, A., Wu, L., Aminifar, F., Bahramirad, S., Parvania, M., Qiu, F., and Kwasinski, A., 2016.
Guest Editorial Power Grid Resilience. IEEE Transactions on Smart Grid, 7(6), 2805-2806.
Kreutz, D., Malichevskyy, O., Feitosa, E., Cunha, H., da Rosa Righi, R., and de Macedo, DD.,
2016. A cyber-resilient architecture for critical security services. Journal of Network and Computer
Applications, 63, 173-189.
Kumar, VA., Pandey, KK., and Punia, DK., 2014. Cyber security threats in the power sector: Need
for a domain specific regulatory framework in India. Energy Policy, 65, 126-133.
Lala, C., & Panda, B., 2001. Evaluating damage from cyber attacks: a model and analysis. IEEE
Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 31(4), 300-310.
Li, H., Lu, R., Zhou, L., Yang, B., and Shen, X., 2014. An efficient merkle-tree-based
authentication scheme for smart grid. IEEE Systems Journal, 8(2), 655-663.
Li, Q., and Cao, G., 2011. Multicast authentication in the smart grid with one-time signature. IEEE
Transactions on Smart Grid, 2(4), 686-696.
Metering.com Data. Analysis: Prepaid electricity metering in Africa. Accessed May 21, 2017 via
https://www.metering.com/features/analysis-prepaid-electricity-meters-africa/.
Mo, Y., Kim, THJ., Brancik, K., Dickinson, D., Lee, H., Perrig, A., & Sinopoli, B., 2012. Cyber–
physical security of a smart grid infrastructure. Proceedings of the IEEE, 100(1), 195-209.
Mohammad, N., Barua, A., and Arafat, MA, 2013. A smart prepaid energy metering system to
control electricity theft. Paper presented at the International Conference on Power, Energy and
Control (ICPEC), 562-565.
Nikovski, DN., Wang, Z., Esenther, A., Sun, H., Sugiura, K., Muso, T., and Tsuru, K., 2013. Smart
meter data analysis for power theft detection. Paper presented at the International Workshop on
Machine Learning and Data Mining in Pattern Recognition. Springer. 379-389.
O'Malley, L., 2014. The Evolving Digital Utility: The convergence of energy and IT. Accessed
September 20, 2016 via https://www.marsdd.com/news-and-insights/the-evolving-digital-utility/.
Rogers, R., 2013. Smart Grid and Energy Storage Technologies Spread. Accessed on 16th
February, 2016 via http://www.worldwatch.org/smart-grid-and-energy-storage-technologies-spread.
Sharma, T., Pandey, K., Punia, D., and Rao, J., 2016. Of pilferers and poachers: Combating
electricity theft in India. Energy Research & Social Science, 11, 40-52.
Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries.
AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng
867
Shuaib, K., Trabelsi, Z., Abed-Hafez, M., Gaouda, A., and Alahmad, M., 2015. Resiliency of Smart
Power Meters to Common Security Attacks. Procedia Computer Science, 52, 145-152.
Siano, P., 2014. Demand response and smart grids—A survey. Renewable and Sustainable Energy
Reviews, 30, 461-478.
Smart Grid Top Markets Report 2017. – A Market Assessment Tool for US Exporters. Accessed on
May 17, 2017 via http://trade.gov/topmarkets/pdf/Smart_Grid_Top_Markets_Report.pdf.
Sridhar, S., Hahn, A., and Govindarasu, M., 2012. Cyber–physical system security for the electric
power grid. Proceedings of the IEEE, 100(1), 210-224.
Stefanov, A., and Liu, CC., 2014. Cyber-physical system security and impact analysis. IFAC
Proceedings Volumes, 47(3), 11238-11243.
The Guardian 2015. Niger delta oil pipeline vandalism estimated to cost $14bn a year. Accessed on
Tuesday 10 November, 2015 via https://www.theguardian.com/environment/2015/nov/2010/niger-
delta-oil-pipeline-vandalism-estimated-to-cost-2014bn-a-year.
ThisDay Newspaper April 19 2016. Rescuing Discos from Vandalism. Accessed January 23rd,
2017 via https://www.thisdaylive.com/index.php/2016/2004/2019/rescuing-discos-from-vandalism/.
ThisDay Newspaper May 9 2016. Vandalism and the Power Sector. Accessed April 10, 2017 via
https://www.thisdaylive.com/index.php/2016/2005/2009/vandalism-and-the-power-sector/
Wang, W., and Lu, Z., 2013. Cyber security in the Smart Grid: Survey and challenges. Computer
Networks, 57(5), 1344-1371.
Wang, X., and Yi, P., 2011. Security framework for wireless communications in smart distribution
grid. IEEE Transactions on Smart Grid, 2(4), 809-818.
Wei, D., Lu, Y., Jafari, M., Skare, PM., and Rohde, K., 2011. Protecting smart grid automation
systems against cyberattacks. IEEE Transactions on Smart Grid, 2(4), 782-795.
World Bank Open Data 2016. Accessed September 15, 2016 via http://data.worldbank.org/.

More Related Content

What's hot

Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” Grid
Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” GridConnecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” Grid
Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” GridPower System Operation
 
Energy Industry Trends by Jonathan Tan, GZZ Cleantech Consulting
Energy Industry Trends  by Jonathan Tan, GZZ Cleantech ConsultingEnergy Industry Trends  by Jonathan Tan, GZZ Cleantech Consulting
Energy Industry Trends by Jonathan Tan, GZZ Cleantech ConsultingJonathan L. Tan, M.B.A.
 
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage  Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage Dinesh Kumar M. Engg. (Biomedical)
 
The energy access dividend in honduras and haiti
The energy access dividend in honduras and haitiThe energy access dividend in honduras and haiti
The energy access dividend in honduras and haitiStanleylucas
 
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...IRJET Journal
 
2013 us grid storage report executive summary
2013 us grid storage report   executive summary2013 us grid storage report   executive summary
2013 us grid storage report executive summaryJon Winberg
 
To forecast the future demand of electrical energy in india by arima
To forecast the future demand of electrical energy in india by arimaTo forecast the future demand of electrical energy in india by arima
To forecast the future demand of electrical energy in india by arimaIAEME Publication
 
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...IRJET Journal
 
Renewable Energy Report 2018
Renewable Energy Report 2018Renewable Energy Report 2018
Renewable Energy Report 2018Rohit Bhalunkar
 
Smart home electric_energy
Smart home electric_energySmart home electric_energy
Smart home electric_energyZona_Electro
 
Internet of Everything: A $4.6 Trillion Public-Sector Opportunity
Internet of Everything: A $4.6 Trillion Public-Sector OpportunityInternet of Everything: A $4.6 Trillion Public-Sector Opportunity
Internet of Everything: A $4.6 Trillion Public-Sector OpportunityJoseph M Bradley
 
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power UtilizationThe Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power UtilizationYogeshIJTSRD
 
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...PresidencyUniversity
 
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...IJAAS Team
 
Post covid budget
Post covid budgetPost covid budget
Post covid budgetYerram Raju
 
Electronic Sytem Sesign and Manufacturing Sector
Electronic Sytem Sesign and Manufacturing SectorElectronic Sytem Sesign and Manufacturing Sector
Electronic Sytem Sesign and Manufacturing SectorVibrant Gujarat
 

What's hot (19)

Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” Grid
Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” GridConnecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” Grid
Connecting Jordan to GCC Power Grid: Creation of Geopolitical “Power” Grid
 
Energy Industry Trends by Jonathan Tan, GZZ Cleantech Consulting
Energy Industry Trends  by Jonathan Tan, GZZ Cleantech ConsultingEnergy Industry Trends  by Jonathan Tan, GZZ Cleantech Consulting
Energy Industry Trends by Jonathan Tan, GZZ Cleantech Consulting
 
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage  Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage
Global Utilities Market Report On Electricity, Natural Gas, Water And Sewerage
 
The energy access dividend in honduras and haiti
The energy access dividend in honduras and haitiThe energy access dividend in honduras and haiti
The energy access dividend in honduras and haiti
 
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...
IRJET- A Secure Data Sharing Scheme in Public Cloud for ECG Signal Monitoring...
 
2013 us grid storage report executive summary
2013 us grid storage report   executive summary2013 us grid storage report   executive summary
2013 us grid storage report executive summary
 
To forecast the future demand of electrical energy in india by arima
To forecast the future demand of electrical energy in india by arimaTo forecast the future demand of electrical energy in india by arima
To forecast the future demand of electrical energy in india by arima
 
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...
IRJET- Edge Deployed Cyber Security Hardware Architecture for Energy Delivery...
 
Renewable Energy Report 2018
Renewable Energy Report 2018Renewable Energy Report 2018
Renewable Energy Report 2018
 
Smart home electric_energy
Smart home electric_energySmart home electric_energy
Smart home electric_energy
 
Internet of Everything: A $4.6 Trillion Public-Sector Opportunity
Internet of Everything: A $4.6 Trillion Public-Sector OpportunityInternet of Everything: A $4.6 Trillion Public-Sector Opportunity
Internet of Everything: A $4.6 Trillion Public-Sector Opportunity
 
NEMA: U.S. Ecosystem for Smart Grid
NEMA: U.S. Ecosystem for Smart GridNEMA: U.S. Ecosystem for Smart Grid
NEMA: U.S. Ecosystem for Smart Grid
 
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power UtilizationThe Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
 
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...
Role of Big Data Analytics in Power System Application Ravi v angadi asst. pr...
 
40120140503009
4012014050300940120140503009
40120140503009
 
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...
An Examination of the Impact of Power Sector Reform on Manufacturing and Serv...
 
Indian economy overstated
Indian economy overstatedIndian economy overstated
Indian economy overstated
 
Post covid budget
Post covid budgetPost covid budget
Post covid budget
 
Electronic Sytem Sesign and Manufacturing Sector
Electronic Sytem Sesign and Manufacturing SectorElectronic Sytem Sesign and Manufacturing Sector
Electronic Sytem Sesign and Manufacturing Sector
 

Similar to A Review of Smart Grids Deployment Issues in Developing Countries

Analysis of Smart Grid Interoperability
Analysis of Smart Grid InteroperabilityAnalysis of Smart Grid Interoperability
Analysis of Smart Grid Interoperabilityijtsrd
 
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNING
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNINGA FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNING
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNINGIRJET Journal
 
Anomalies detection for smart-home energy forecasting using moving average
Anomalies detection for smart-home energy forecasting using  moving averageAnomalies detection for smart-home energy forecasting using  moving average
Anomalies detection for smart-home energy forecasting using moving averageIJECEIAES
 
The Impact of Working Capital Management in Enhancing Profitability in the El...
The Impact of Working Capital Management in Enhancing Profitability in the El...The Impact of Working Capital Management in Enhancing Profitability in the El...
The Impact of Working Capital Management in Enhancing Profitability in the El...Premier Publishers
 
Smart Grid Technologies in Power Systems An Overview
Smart Grid Technologies in Power Systems An OverviewSmart Grid Technologies in Power Systems An Overview
Smart Grid Technologies in Power Systems An OverviewRaja Larik
 
SMART GRID – AN INTRODUCTION
SMART GRID – AN INTRODUCTIONSMART GRID – AN INTRODUCTION
SMART GRID – AN INTRODUCTIONIAEME Publication
 
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...IRJET Journal
 
Context of smart grids in india knowledge paper of india smart grid day 2013
Context of smart grids in india   knowledge paper of india smart grid day 2013Context of smart grids in india   knowledge paper of india smart grid day 2013
Context of smart grids in india knowledge paper of india smart grid day 2013L&C
 
A comparative assessment of energy management system and strategies in kanpur
A comparative assessment of energy management system and strategies in kanpurA comparative assessment of energy management system and strategies in kanpur
A comparative assessment of energy management system and strategies in kanpurIAEME Publication
 
2009 doe smart grid system report
2009 doe smart grid system report2009 doe smart grid system report
2009 doe smart grid system reportGrant Millin
 
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...ijtsrd
 
J0364057060
J0364057060J0364057060
J0364057060theijes
 
The Future Direction of Smart Grid by 2050 in India
The Future Direction of Smart Grid by 2050 in IndiaThe Future Direction of Smart Grid by 2050 in India
The Future Direction of Smart Grid by 2050 in Indiaijtsrd
 
Innovative technologies and challenges in the field of smart grid
Innovative technologies and challenges in the field of smart gridInnovative technologies and challenges in the field of smart grid
Innovative technologies and challenges in the field of smart gridIAEME Publication
 
Analysis of Electric Power Consumption using Smart Meter Data
Analysis of Electric Power Consumption using Smart Meter DataAnalysis of Electric Power Consumption using Smart Meter Data
Analysis of Electric Power Consumption using Smart Meter DataIRJET Journal
 
GIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh CityGIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh Cityijsrd.com
 
Smart cities: Understanding policies, standards, applications and case studies
Smart cities: Understanding policies, standards, applications and case studies Smart cities: Understanding policies, standards, applications and case studies
Smart cities: Understanding policies, standards, applications and case studies IJECEIAES
 
January 2024 Top Cited -.pdf
January  2024 Top Cited  -.pdfJanuary  2024 Top Cited  -.pdf
January 2024 Top Cited -.pdfijscai
 

Similar to A Review of Smart Grids Deployment Issues in Developing Countries (20)

Analysis of Smart Grid Interoperability
Analysis of Smart Grid InteroperabilityAnalysis of Smart Grid Interoperability
Analysis of Smart Grid Interoperability
 
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNING
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNINGA FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNING
A FALL DETECTION SMART WATCH USING IOT AND DEEP LEARNING
 
Anomalies detection for smart-home energy forecasting using moving average
Anomalies detection for smart-home energy forecasting using  moving averageAnomalies detection for smart-home energy forecasting using  moving average
Anomalies detection for smart-home energy forecasting using moving average
 
The Impact of Working Capital Management in Enhancing Profitability in the El...
The Impact of Working Capital Management in Enhancing Profitability in the El...The Impact of Working Capital Management in Enhancing Profitability in the El...
The Impact of Working Capital Management in Enhancing Profitability in the El...
 
Smart Grid Technologies in Power Systems An Overview
Smart Grid Technologies in Power Systems An OverviewSmart Grid Technologies in Power Systems An Overview
Smart Grid Technologies in Power Systems An Overview
 
SMART GRID – AN INTRODUCTION
SMART GRID – AN INTRODUCTIONSMART GRID – AN INTRODUCTION
SMART GRID – AN INTRODUCTION
 
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...
IRJET- A Review on Smart Energy Meter for Power Consumption Monitoring with O...
 
Context of smart grids in india knowledge paper of india smart grid day 2013
Context of smart grids in india   knowledge paper of india smart grid day 2013Context of smart grids in india   knowledge paper of india smart grid day 2013
Context of smart grids in india knowledge paper of india smart grid day 2013
 
A comparative assessment of energy management system and strategies in kanpur
A comparative assessment of energy management system and strategies in kanpurA comparative assessment of energy management system and strategies in kanpur
A comparative assessment of energy management system and strategies in kanpur
 
2009 doe smart grid system report
2009 doe smart grid system report2009 doe smart grid system report
2009 doe smart grid system report
 
Cv4301566568
Cv4301566568Cv4301566568
Cv4301566568
 
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...
Strategic Orientation and Service Quality of Mobile Telephone Network MTN in ...
 
2020 Prieto-Egido - Small rural operators_revAR.pdf
2020 Prieto-Egido - Small rural operators_revAR.pdf2020 Prieto-Egido - Small rural operators_revAR.pdf
2020 Prieto-Egido - Small rural operators_revAR.pdf
 
J0364057060
J0364057060J0364057060
J0364057060
 
The Future Direction of Smart Grid by 2050 in India
The Future Direction of Smart Grid by 2050 in IndiaThe Future Direction of Smart Grid by 2050 in India
The Future Direction of Smart Grid by 2050 in India
 
Innovative technologies and challenges in the field of smart grid
Innovative technologies and challenges in the field of smart gridInnovative technologies and challenges in the field of smart grid
Innovative technologies and challenges in the field of smart grid
 
Analysis of Electric Power Consumption using Smart Meter Data
Analysis of Electric Power Consumption using Smart Meter DataAnalysis of Electric Power Consumption using Smart Meter Data
Analysis of Electric Power Consumption using Smart Meter Data
 
GIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh CityGIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh City
 
Smart cities: Understanding policies, standards, applications and case studies
Smart cities: Understanding policies, standards, applications and case studies Smart cities: Understanding policies, standards, applications and case studies
Smart cities: Understanding policies, standards, applications and case studies
 
January 2024 Top Cited -.pdf
January  2024 Top Cited  -.pdfJanuary  2024 Top Cited  -.pdf
January 2024 Top Cited -.pdf
 

More from Oyeniyi Samuel

Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Oyeniyi Samuel
 
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Oyeniyi Samuel
 
Design Description of a Tentacle Based Scanning System
Design Description of a Tentacle Based Scanning SystemDesign Description of a Tentacle Based Scanning System
Design Description of a Tentacle Based Scanning SystemOyeniyi Samuel
 
Profiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewProfiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewOyeniyi Samuel
 
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Oyeniyi Samuel
 
Inundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISInundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISOyeniyi Samuel
 
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...Oyeniyi Samuel
 
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Oyeniyi Samuel
 
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Oyeniyi Samuel
 
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaJob Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaOyeniyi Samuel
 
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Oyeniyi Samuel
 
Security Architecture for Thin Client Network
Security Architecture for Thin Client NetworkSecurity Architecture for Thin Client Network
Security Architecture for Thin Client NetworkOyeniyi Samuel
 
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Oyeniyi Samuel
 
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteComparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteOyeniyi Samuel
 
Development of Farm Records Software
Development of Farm Records SoftwareDevelopment of Farm Records Software
Development of Farm Records SoftwareOyeniyi Samuel
 
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Oyeniyi Samuel
 
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Oyeniyi Samuel
 
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialModeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialOyeniyi Samuel
 
An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...Oyeniyi Samuel
 
4 article azojete vol 7 34 43
4 article azojete vol 7 34 434 article azojete vol 7 34 43
4 article azojete vol 7 34 43Oyeniyi Samuel
 

More from Oyeniyi Samuel (20)

Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
Particle Swarm Optimization (PSO)-Based Distributed Power Control Algorithm f...
 
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
Equilibrium and Kinetic Studies of Adsorption of Safranin-O from Aqueous Solu...
 
Design Description of a Tentacle Based Scanning System
Design Description of a Tentacle Based Scanning SystemDesign Description of a Tentacle Based Scanning System
Design Description of a Tentacle Based Scanning System
 
Profiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A ReviewProfiled Deck Composite Slab Strength Verification: A Review
Profiled Deck Composite Slab Strength Verification: A Review
 
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
Optimization of Mechanical Expression of Castor Seeds Oil (Ricinus communis) ...
 
Inundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GISInundation and Hazard Mapping on River Asa, using GIS
Inundation and Hazard Mapping on River Asa, using GIS
 
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
NOx Emission in Iron and Steel Production: A Review of Control Measures for S...
 
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
Artificial Neural Network Modelling of the Energy Content of Municipal Solid ...
 
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
Development of Inundation Map for Hypothetical Asa Dam Break using HEC-RAS an...
 
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western NigeriaJob Safety Assessment of Woodwork Industry in the South-western Nigeria
Job Safety Assessment of Woodwork Industry in the South-western Nigeria
 
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
Anaerobicaly - Composted Environmental Wastes as Organic Fertilizer and Ident...
 
Security Architecture for Thin Client Network
Security Architecture for Thin Client NetworkSecurity Architecture for Thin Client Network
Security Architecture for Thin Client Network
 
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
Algorithm for the Dynamic Analysis of Plane Rectangular Rigid Frame Subjected...
 
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange WasteComparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
Comparism of the Properties and Yield of Bioethanol from Mango and Orange Waste
 
Development of Farm Records Software
Development of Farm Records SoftwareDevelopment of Farm Records Software
Development of Farm Records Software
 
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
Compressive Strength of Concrete made from Natural Fine Aggregate Sources in ...
 
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
Evaluation of Chemical and Physico-Mechanical Properties of Ado-Ekiti Natural...
 
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood MaterialModeling and Simulation of Pyrolysis Process for a Beech Wood Material
Modeling and Simulation of Pyrolysis Process for a Beech Wood Material
 
An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...An Investigation into the Effectiveness of Machine Learning Techniques for In...
An Investigation into the Effectiveness of Machine Learning Techniques for In...
 
4 article azojete vol 7 34 43
4 article azojete vol 7 34 434 article azojete vol 7 34 43
4 article azojete vol 7 34 43
 

Recently uploaded

Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineeringmalavadedarshan25
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Dr.Costas Sachpazis
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 

Recently uploaded (20)

Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
Internship report on mechanical engineering
Internship report on mechanical engineeringInternship report on mechanical engineering
Internship report on mechanical engineering
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 

A Review of Smart Grids Deployment Issues in Developing Countries

  • 1. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867 Copyright © Faculty of Engineering, University of Maiduguri, Maiduguri, Nigeria. Print ISSN: 1596-2490, Electronic ISSN: 2545-5818, www.azojete.com.ng 858 A REVIEW OF SMART GRIDS DEPLOYMENT ISSUES IN DEVELOPING COUNTRIES A. O. Otuoze1 *, A. M. Usman1 , O. O. Mohammed1 and A. A. Jimoh2 1 Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, Ilorin, Nigeria 2 Department of Electrical and Electronics Engineering, The Federal Polytechnic Offa, Offa, Nigeria *Corresponding Author’s email address: otuoze.ao@unilorin.edu.ng Abstract Smart Grids (SGs) have taken a centre stage in achieving a smarter, more reliable, robust, secured, economically efficient and more environmentally friendly mode of power generation and utilisation. Massive deployment is being recorded in developed worlds. While most of these countries are investing heavily in the development of SGs, well-articulated areas of research and development are key aspects with special emphasis on its security since it involves complex interconnection of units and systems which are expensive to install and maintain. In developing nations, especially those of Africa, realisation of adequate power supply to meeting the ever-growing demand has been a mirage with demand on geometric increase and with every increase largely meaning a drift away from the supply. Hence, attention is focused on capacity expansion in most developing nations rather than SGs deployments especially considering the various challenges militating against the development despite the huge advantages. Although, some of these nations have made tremendous achievements in this regard, the associated challenges have become major source of worry for most of the nations. This paper gives highlights of these issues and possible measures of overcoming them in order to enhance sustainable SGs deployments in developing countries like Nigeria. Keywords: Smart Grid, Smart Electric Meter (SEM), Power Network, Challenges, Security, Developing Nations 1. Introduction The quest for an improved power system network worldwide has called for imminent research, investment and upgrade in the power sector. Worldwide, average annual electricity demand is expected to increase more than twice from 1.3% per year in 2015 to about 2.8% by 2020(Smart Grid Top Markets Report 2017). Hence, the deployment of Smart Grids (SGs) for a more efficient operation of the power system. SGs provide a bidirectional communication as well as connect intelligently all power network supply and monitoring devices for a reliable, secured and resilient power delivery (Bigerna, Bollino, & Micheli, 2016; Colak, Fulli, Sagiroglu, Yesilbudak, & Covrig, 2015; Fadaeenejad et al., 2014; Fan and Gong, 2013; Kezunovic, 2011; Li and Cao, 2011; Shuaib, et al., 2015; Smart Grid Top Markets Report 2017). This enables enhanced planning, deployment and possible expansion of the grid (Eissa, 2015; Kezunovic, 2011; Sridhar, et al., 2012). It was estimated that SG will gulp about $200 billion investments in infrastructure worldwide from 2010 to 2015 and its global market potential will nearly double by 2020 to about US$73 billion in annual revenue and US$461 billion in cumulative profit (Fan & Gong, 2013). Russia, China and India are a few of the developing nations making giant stride in SG deployments (African Economic Outlook 2016; Fadaeenejad et al., 2014). Thailand and India have budgeted US$ 13 billion (for the next 15 years) and USD 5.8 billion (for a five year plan) (Fadaeenejad et al., 2014; Kumar, et al., 2014) to improve their power infrastructure respectively, with Malaysia targeting an
  • 2. Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries. AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 859 expenditure of $109.0 million by 2016 (World Bank Open Data 2016). Figure 1 shows the investment in SG by region as at 2012 (Rogers, 2013) Figure 1: SG Investment by Region as at 2012 (Values in $ billion) The security issues worldwide are major concerns in this deployment and has necessitated various researches (Amin, 2012; Gharavi and Hu, 2013; Giani, et al., 2012; Li, et al., 2014; Wei, et al., 2011). Although, the general security issues of SG deployment are overwhelming but as developing nations hope to widen investments in SGs with many other countries in the region springing up for power network upgrade, there are peculiar security issues regarding the deployments. This paper presents some of the worrying challenges militating against the deployment of SGs in the region, giving a brief account with peculiarity to developing nations from Sub-Saharan Africa, using Nigeria as example. The issues raised are pointer to the impending security challenges which slowed the pace of SG deployments in developing nations. The rest of this paper is organised as follows. Section 2 presents the related issues emanating from the Demand-Supply gap while section 3 discusses issues related to the deployment of Smart Electricity Meters as well as cases of electricity thefts. Cyber-attacks, vandalization, infrastructure theft and terrorism are discussed in section 4 and section 5 presents the highlights of issues concerning poor research and investments. In section 6, low budgetary allocations, poor regulatory policies and corruption are briefly discussed as they affect SGs deployments while section 7 gives the conclusion and recommendation for further study. 2. Demands-Supply Gap Most developing nations have suffered shortage of electricity for years, with a wide gap in the demand and supply (Gaur and Gupta, 2016; Kemausuor, et al., 2011; Kessides, 2013). Also, many of the Nations lack requisite access to electricity; some are however, able to provide 100% access of electricity to its citizens while others especially the Sub Saharan Countries are lagging far behind (World Bank Open Data 2016) as shown in figure 2.
  • 3. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 860 Figure 2: Access to Electricity (% of Population) of selected Regions and Countries as at 2012 One of the most contributory factors militating against SG deployment is the wide gap of supply compared to the demand as reported for Ghana, South Africa, Pakistan, India, Nigeria etc. (Gaur and Gupta, 2016; Kemausuor et al., 2011; Kessides, 2013) and many developing nations. This impact negatively on the economy, which include but not limited to low international competitiveness and exports, increased poverty level, killing of local manufacturing sectors and hence low country’s growth in terms of GDP (Kessides, 2013) are the major consequences of the low or irregular power supply. With this poor access to electricity, SG deployment is hindered since constant energy supply critical to the present-day world (Akorede, et al., 2017) cannot be guaranteed to serve both individual and community needs. Also, countries who are yet to deploy this technology to a reasonable level are likely going to concentrate on improving their generation capacity even though urgent deployment of SG will help in the efficient management of the system especially by improved monitoring, control and metering. 3. Roll out of Smart Electric Meters and Electricity Theft Smart electric meters (SEMs) are installed to help measure energy flow values and transmit the energy consumption data to both the utility and customer as well as making the data available via Advanced Metering Infrastructure (AMI), for billing, planning, and control actions (Geelen, et al., 2013; Jiang et al., 2014; Siano, 2014). The SEMs offer huge advantages in energy billing, monitoring and management, energy saving, improved metering by reducing power theft, enhancing revenue generation, effective demand side management and security (Abdulrahman, et al., 2016; Amin, 2012; Smart Grid Top Markets Report 2017). The AMI is a key component of SGs deployment. It employs the use of smart meters (SMs) at substations and customer ends (Shuaib et al., 2015). It is a subsystem of the SGs which provides bidirectional communication between the SMs and the utilities by helping in real-time transmissions of consumption data, control commands and pricing information usually at specified interval (Jokar, 2016; Shuaib et al., 2015). The
  • 4. Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries. AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 861 introduction of AMI digitalises the electricity metering system compared to the old mechanical meters (Fatemieh, et al., 2010; Jiang et al., 2014). Since early 2000s, SMs have been deployed around the globe as key element of SGs. The prime functions and applications of SMs include real-time energy consumption data capture, remote and local reading capability, fast outage detection and supply management, remote controlled access, integrated ability to other commodity supplies, interoperability within the SGs, device and energy status capture, demand response, faster diagnosis of faults, electricity theft detection and support for distributed generations (DGs) (Alahakoon and Yu, 2016; Altmann et al., 2011; Fatemieh et al., 2010; Jiang et al., 2014). Globally, 313 million SEMs were reportedly installed as at 2013 and could rise to about 1.1 billion in 2023 (Shuaib et al., 2015). 852 million SEMs was projected to be installed worldwide by 2018 (O'Malley, 2014). In 2013, Zimbabwe Electricity Supply Authority (ZESA) reportedly installed about 573,667 units targeting installation of 800,000 units by 2018. Uzbekistan, India and Pakistan have been enjoying some support by Asian Development Bank in the financing of their SMs project (Metering.com Data). In effort to fast-track the roll out of SEMs, Nigeria introduced Credited Advanced Payment for Metering Implementation (CAPMI) scheme in partnership with EcoBank, but the scheme met a stiff opposition due to the unwillingness of customers to finance the installation using their own money. Later, CAPMI was terminated since it could not achieve its aim. Complacency by the distribution companies (Discos) was also a major reason expressed in some other quarters as cases were reported where consumers managed to pay the power distribution companies (DISCOs) for SEMs and are not promptly supplied and installed by the DISCOs. In most of these cases, consumers have to wait for at least, 15 months before being supplied. Sometimes, they even have to bribe their way out. This has led to consumers being continuously charged on estimated billing, which eventually leads to cheating on the consumers; and the consumers also look for way to engage in energy theft. Nigeria’s Kaduna Electricity Distribution Company (KEDC) promised its manufacturing plant in Kaduna will help the company roll out 500,000 SEMs to meet its set target by 2021. Overall, reports show that the Discos have only managed to deploy a few of hundred thousand which is very poor in a country as big as Nigeria (Metering.com Data). Electricity theft, high cost of SEMs, billing irregularities via the conventional meters by the DISCOs resulting in over-billing of customers coupled with the bureaucratic procedures involved in SEM installations are some unfortunate challenges against smooth deployment of SGs. Often, DISCOs fail to read the conventional meters while they bill customers and since electricity is highly unstable, they seem to be making higher revenues compared to having customers with SEMs and hence, would rather frustrate the efforts on SEMs distributions. A development to which Nigeria’s Electricity Regulatory Commission (NERC) has repeatedly threatened sanctions but has done little or nothing to sanction erring DISCOs. Hence, posing appalling challenges to the deployment of SGs in a country like Nigeria. One of the major source of loss for utility companies is electricity theft causing them huge losses and preventing further investment plans (Sharma, et al., 2016). Unpaid electricity bills, billing irregularities, smart meter manipulations and cyber-attacks, corruption of employees (e.g. misappropriation of funds, illegal procurement, sale and installation of prepaid meters, helping customers in meter bypass etc.) and other related fraudulent activities militating against SG deployments. SEMs have come under series of electricity theft techniques including bypass, cyber-
  • 5. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 862 attacks etc. Electricity theft has evolved as the major security challenge worldwide as huge losses are being reportedly incurred by utility operators and governments. Each year, utilities reportedly lose more than $25 billion worldwide (Jiang et al., 2014) causing every player high dissatisfaction. As a palliative measure, some governments reportedly grant subsidies to enable utility companies keep customers’ bills low (Mohammad, et al., 2013; Sharma et al., 2016). About $25 billion is reportedly lost to power theft globally on yearly basis (Jiang et al., 2014; Sharma et al., 2016). In some Sub-Saharan African, South-East Asia, Latin America and Middle east, huge losses in various range have been reported (Gaur and Gupta, 2016; Jamil and Ahmad, 2014; Jiang et al., 2014; Nikovski et al., 2013) and many cases are either partially reported or left unreported. Government subsidies, encouragement of local production as in the case of KEDC, adequate database of customers, proper regulatory policies for monitoring and control by government and utility companies will help in SEMs deployments and monitoring against power thefts. Engineers and Researchers are continuously working on various techniques for curbing the menace of electricity theft. 4. Cyber-Attacks, Vandalization, Infrastructure Theft and Terrorism Cyber-attacks are global phenomenon affecting countries, companies, institutions, security agencies, infrastructures etc. They are capable of inflicting heavy damages to both physical or the programmes on which the control relies. SG is made vulnerable to cyber threats by the fact that it is dependent on information technology (Stefanov and Liu, 2014; W. Wang & Lu, 2013; X. Wang & Yi, 2011). Globally, an estimated sum of US$445 billion is spent yearly in combating cyber-crimes (Khodaei et al., 2016; Lala and Panda, 2001) with many developing nations budgeting little or nothing to fight cyber-crimes. So, the deployment of SG must be accompanied with well-structured cyber-security for a secured and resilient system. Various approaches have been proposed to curb cyber security threats and attacks as contained in (Genge, et al., 2015; Kreutz, et al., 2016; Lala and Panda, 2001; Mo, et al., 2012; Stefanov and Liu, 2014; Wei, et al., 2011) etc. Vandalism and theft of infrastructure are other aspects requiring key research to be able to determine the exact value loss. In Africa, various reports dominate pages of newspapers daily on either theft of power infrastructure or its vandalization. The recent Niger Delta attacks on oil and gas infrastructure has led to shortage of gas supply which is a major impetus to power generating companies. The Guardian Newspaper reported that estimated $14bn is required for the damage caused (The Guardian 2015). While Nigeria, Mozambique, Zimbabwe, South Africa have also reported various cases and losses due to vandalism and theft (APANews.net; ThisDay Newspaper April 19 2016; ThisDay Newspaper May 9 2016). Several developing nations face similar fate. Terrorism can come in form of physical attacks on infrastructure or cyber-attacks. The attacks could be perpetuated by some terror groups such as ISIS, ISIL, Boko-haram and Al-Shabab or militancy in form of Niger Delta Avengers (in Nigeria) or any other form of insurgency. They can be carried out in form of war between states e.g. the war between Russia and Ukraine, Israel and Palestine. Usually, the effects are so enormous that reportage is limited to causalities in terms of human lives lost rather than infrastructure. Terrorism has cost the global economy huge sum of money (difficult to properly estimate) and given the rising insurgency in most developing nations, SG deployments is threatened by terrorism.
  • 6. Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries. AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 863 5. Poor Research and Investment Research and development (R&D) in sub-Saharan Africa is at a notable low profile and with SG deployment requiring several billions of dollars, continuous research is needed for a sustainable deployment. SG research and investment in developed and emerging economies are on a steady growth due to the high commitment in research and general investment. Developing nations must emulate same for improvement in research and investment (both in human and capital resources). This will enhance deployment efficiency and reduce the overall operational and maintenance overheads. In addition, research institutions too must key into doing lots of works in coming up with results that will enhance deployment of SGs in developing economy. 6. Low Budgetary Allocations, Poor Regulatory Policies and Corruption Considering the cost of deployments of SGs, the low budgetary allocations of many developing nations is another barrier. SG projects engulfed $14.9 billion in 2013 (Gonzalez, 2014). The current economic downturn worldwide which has sent many developing nations to recession automatically means low budgetary for the power sector (African Economic Outlook 2016). Priority must however be given to some key aspects of SGs deployment since it helps run the power system more efficiently. Poor regulatory policies and implementation in most region of the developing nation is also worthy of note as a barrier to SG deployment because consistency and a well-driven policy are key to sustainable implementations. The regulatory bodies like the Nigerian Electricity Regulatory Commission (NERC) is docile in carrying out its primary responsibility of regulating the power industries. The major stakeholders (the Generating, Transmitting and Distributing companies) are not playing by the rules. The regulators must be bold enough to heavily sanction any erring stakeholder. They must be compelled to research into the future. Major deadlines must be set and met as contained in laid regulatory policies as it relates to SGs deployment. Furthermore, corruption has become a way of life of government officials and some highly placed private individuals in most developing nations to such an extent that in some quarters, open war is being declared to curb the menace as evident in Nigeria. Corruption also contributes a lot to power theft increase as discussed earlier. Increased budgetary allocations, good and consistent regulatory policies and a stiff penalty against corruption by the government will be helpful in SGs deployments. 7. Conclusion and Recommendations Various threats militating against SGs deployments in developing nations have been briefly highlighted and discussed. Some of the ways by which SG deployments can be successful in these countries include understanding the basics and needs for SGs, increased public and private sector investments, research investments as well as well-structured regulatory policies and implementation. Investors must be made to play by the laid down rules. The regulatory bodies must be bold enough to carry out its statutory duties and sanction erring or compromising investors in accordance with the laid down law. Government must create enabling environments for businesses to thrive by addressing various agitations that often lead to public unrest. Power infrastructure must be jealously protected against theft and vandalism. Government must create public awareness on the need for citizen to jealously protect public infrastructures. Further research can be done by
  • 7. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 864 identifying and classifying each of the source of threats for extensive research aimed at finding lasting solutions to factors militating against massive deployment of SGs. REFERENCES Abdulrahman, AT., Isiwekpeni, OH., Surajudeen-Bakinde, NT., and Otuoze, AO., 2016. Design, Specification and Implementation of a Distributed Home Automation System. Procedia Computer Science, 94, 473-478. African Economic Outlook, 2016. "Sustainable Cities and Structural Transformation".Accessed September 12, 2016 via http://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/AEO_2016_Report_Full_Eng lish.pdf. Akorede, MF., Ibrahim, O., Amuda, SA., Otuoze, AO., and Olufeagba, BJ. 2017. Current status and outlook of renewable energy development in Nigeria. Nigerian Journal of Technology, 36(1), 196- 212. Alahakoon, D., and Yu, X. 2016. Smart electricity meter data intelligence for Future Energy Systems: A survey. IEEE Transactions on Industrial Informatics, 12(1), 425-436. Altmann, M., Schmidt, P., Landinger, H., Michalski, J., Brenninkmeijer, A., Buscke, I., and Barquín, J., 2011. Effect of smart metering on electricity prices. Study for the European Parliament, 130. Amin, SM., 2012. Smart grid security, privacy, and resilient architectures: Opportunities and challenges. Paper presented at the Power and Energy Society General Meeting, 2012 IEEE. APANews.net. Mozambican power utility loses US$8m to energy theft, vandalism. Accessed May 16, 2017 via http://apanews.net/en/news/mozambican-power-utility-loses-us2018m-energy-theft- vandalism. Bigerna, S., Bollino, CA., and Micheli, S., 2016. Socio-economic acceptability for smart grid development–A comprehensive review. Journal of Cleaner Production, 131, 399-409. Colak, I., Fulli, G., Sagiroglu, S., Yesilbudak, M., and Covrig, CF., 2015. Smart grid projects in Europe: Current status, maturity and future scenarios. Applied Energy, 152, 58-70. Eissa, M., 2015. Protection techniques with renewable resources and smart grids—A survey. Renewable and Sustainable Energy Reviews, 52, 1645-1667. Fadaeenejad, M., Saberian, AM., Fadaee, M., Radzi, M., Hizam, H., and AbKadir, M., 2014. The present and future of smart power grid in developing countries. Renewable and Sustainable Energy Reviews, 29, 828-834.
  • 8. Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries. AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 865 Fan, X., and Gong, G., 2013. Security challenges in smart-grid metering and control systems. Technology Innovation Management Review, 3(7), 42. Fatemieh, O., Chandra, R., and Gunter, CA., 2010. Low cost and secure smart meter communications using the tv white spaces. Paper presented at the3rd International Symposium on Resilient Control Systems (ISRCS), 2010. Gaur, V., and Gupta, E., 2016. The determinants of electricity theft: An empirical analysis of Indian states. Energy Policy, 93, 127-136. Geelen, D., Reinders, A., and Keyson, D., 2013. Empowering the end-user in smart grids: Recommendations for the design of products and services. Energy Policy, 61, 151-161. Genge, B., Kiss, I., and Haller, P., 2015. A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures. International Journal of Critical Infrastructure Protection, 10, 3-17. Gharavi, H., and Hu, B., 2013. Dynamic key refreshment for smart grid mesh network security. Paper presented at the Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES. Giani, A., Bent, R., Hinrichs, M., McQueen, M., and Poolla, K., 2012. Metrics for assessment of smart grid data integrity attacks. Paper presented at the Power and Energy Society General Meeting, IEEE. Gonzalez, M., 2014. Smart Grid Investment Grows with Widespread Smart Meter Installations. Tech. Rep., Accessed on September 16, 2016 via http://vitalsigns.worldwatch.org/sites/default/files/vital_signs_smart_grid_final_pdf.pdf. Jamil, F., and Ahmad, E., 2014. An empirical study of electricity theft from electricity distribution companies in Pakistan. Pakistan Development Review, 53(3), 239. Jiang, R., Lu, R., Wang, Y., Luo, J., Shen, C., and Shen, XS., 2014. Energy-theft detection issues for advanced metering infrastructure in smart grid. Tsinghua Science and Technology, 19(2), 105- 120. Jokar, P., 2016. Detection of malicious activities against advanced metering infrastructure in smart grid. University of British Columbia. Kemausuor, F., Obeng, GY., Brew-Hammond, A., and Duker, A., 2011. A review of trends, policies and plans for increasing energy access in Ghana. Renewable and Sustainable Energy Reviews, 15(9), 5143-5154. Kessides, I. N., 2013. Chaos in power: Pakistan's electricity crisis. Energy Policy, 55, 271-285.
  • 9. Arid Zone Journal of Engineering, Technology and Environment, December, 2017; Vol. 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818; www.azojete.com.ng 866 Kezunovic, M., 2011. Smart fault location for smart grids. IEEE Transactions on Smart Grid, 2(1), 11-22. Khodaei, A., Wu, L., Aminifar, F., Bahramirad, S., Parvania, M., Qiu, F., and Kwasinski, A., 2016. Guest Editorial Power Grid Resilience. IEEE Transactions on Smart Grid, 7(6), 2805-2806. Kreutz, D., Malichevskyy, O., Feitosa, E., Cunha, H., da Rosa Righi, R., and de Macedo, DD., 2016. A cyber-resilient architecture for critical security services. Journal of Network and Computer Applications, 63, 173-189. Kumar, VA., Pandey, KK., and Punia, DK., 2014. Cyber security threats in the power sector: Need for a domain specific regulatory framework in India. Energy Policy, 65, 126-133. Lala, C., & Panda, B., 2001. Evaluating damage from cyber attacks: a model and analysis. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 31(4), 300-310. Li, H., Lu, R., Zhou, L., Yang, B., and Shen, X., 2014. An efficient merkle-tree-based authentication scheme for smart grid. IEEE Systems Journal, 8(2), 655-663. Li, Q., and Cao, G., 2011. Multicast authentication in the smart grid with one-time signature. IEEE Transactions on Smart Grid, 2(4), 686-696. Metering.com Data. Analysis: Prepaid electricity metering in Africa. Accessed May 21, 2017 via https://www.metering.com/features/analysis-prepaid-electricity-meters-africa/. Mo, Y., Kim, THJ., Brancik, K., Dickinson, D., Lee, H., Perrig, A., & Sinopoli, B., 2012. Cyber– physical security of a smart grid infrastructure. Proceedings of the IEEE, 100(1), 195-209. Mohammad, N., Barua, A., and Arafat, MA, 2013. A smart prepaid energy metering system to control electricity theft. Paper presented at the International Conference on Power, Energy and Control (ICPEC), 562-565. Nikovski, DN., Wang, Z., Esenther, A., Sun, H., Sugiura, K., Muso, T., and Tsuru, K., 2013. Smart meter data analysis for power theft detection. Paper presented at the International Workshop on Machine Learning and Data Mining in Pattern Recognition. Springer. 379-389. O'Malley, L., 2014. The Evolving Digital Utility: The convergence of energy and IT. Accessed September 20, 2016 via https://www.marsdd.com/news-and-insights/the-evolving-digital-utility/. Rogers, R., 2013. Smart Grid and Energy Storage Technologies Spread. Accessed on 16th February, 2016 via http://www.worldwatch.org/smart-grid-and-energy-storage-technologies-spread. Sharma, T., Pandey, K., Punia, D., and Rao, J., 2016. Of pilferers and poachers: Combating electricity theft in India. Energy Research & Social Science, 11, 40-52.
  • 10. Otuoze, et al.: A Review of Smart Grids Deployment Issues in Developing Countries. AZOJETE, 13(6):858-867. ISSN 1596-2490; e-ISSN 2545-5818, www.azojete.com.ng 867 Shuaib, K., Trabelsi, Z., Abed-Hafez, M., Gaouda, A., and Alahmad, M., 2015. Resiliency of Smart Power Meters to Common Security Attacks. Procedia Computer Science, 52, 145-152. Siano, P., 2014. Demand response and smart grids—A survey. Renewable and Sustainable Energy Reviews, 30, 461-478. Smart Grid Top Markets Report 2017. – A Market Assessment Tool for US Exporters. Accessed on May 17, 2017 via http://trade.gov/topmarkets/pdf/Smart_Grid_Top_Markets_Report.pdf. Sridhar, S., Hahn, A., and Govindarasu, M., 2012. Cyber–physical system security for the electric power grid. Proceedings of the IEEE, 100(1), 210-224. Stefanov, A., and Liu, CC., 2014. Cyber-physical system security and impact analysis. IFAC Proceedings Volumes, 47(3), 11238-11243. The Guardian 2015. Niger delta oil pipeline vandalism estimated to cost $14bn a year. Accessed on Tuesday 10 November, 2015 via https://www.theguardian.com/environment/2015/nov/2010/niger- delta-oil-pipeline-vandalism-estimated-to-cost-2014bn-a-year. ThisDay Newspaper April 19 2016. Rescuing Discos from Vandalism. Accessed January 23rd, 2017 via https://www.thisdaylive.com/index.php/2016/2004/2019/rescuing-discos-from-vandalism/. ThisDay Newspaper May 9 2016. Vandalism and the Power Sector. Accessed April 10, 2017 via https://www.thisdaylive.com/index.php/2016/2005/2009/vandalism-and-the-power-sector/ Wang, W., and Lu, Z., 2013. Cyber security in the Smart Grid: Survey and challenges. Computer Networks, 57(5), 1344-1371. Wang, X., and Yi, P., 2011. Security framework for wireless communications in smart distribution grid. IEEE Transactions on Smart Grid, 2(4), 809-818. Wei, D., Lu, Y., Jafari, M., Skare, PM., and Rohde, K., 2011. Protecting smart grid automation systems against cyberattacks. IEEE Transactions on Smart Grid, 2(4), 782-795. World Bank Open Data 2016. Accessed September 15, 2016 via http://data.worldbank.org/.