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International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 161
A Step Forward to a Smart Grid by Implanting
Smart Monitoring System
V.Prasath1
, Dr.V.Chandrasekar2
, Mrs.N.Pushpalatha3
,
Mr.S.Sheikameer Batcha4
1
PG Scholar, 2
Professor & Head, 3&4
Assistant Professor,
Department of Electrical and Electronics Engineering, Sri Eshwar College of Engineering,
Coimbatore, Tamilnadu, India.
----------------------------------------************************------------------------------
Abstract:
By development of smart Grid, renewable energy such as wind generation (WG) and
photovoltaic generation (PV) are getting attention in distributionsystems. Additionally, all-electric
apartment houses or residence such as DC smart houses are increasing.However, due to the
fluctuating power from renewable energy sources and loads, supply-demandbalancing of power
system becomes problematic. Smart grid is a solution to this problem. This paperpresents a
methodology for optimal operations of a smart grid, to minimize the power flow fluctuation by
reduceinterconnection point and over load connection. To achieve the proposed optimal operation, we
use distributed controllable loadssuch as halogen lamps and fans. By minimizing the interconnection
point and over load, it is possible to reduce the electric power consumption and the cost of electricity.
This system consists of battery, solar collector, and load.Energy efficient smart buildings are possible
by integrating smart meter, smart sockets, domestic renewableenergy generation and energy storage
systems for integrated energy management, and this integratedsystem supports demand side load
management, distributed generation and distributed storageprovisions of future smart grids. Coming
era of smart grids has implications for domestic DC distributionconcepts with smarts sockets.
Keywords— DC distribution Home electronics appliances Smart buildings and systems Demand
side load management Smart grid DC smart house optimal operation Interconnection point
power flow and load shedding.
----------------------------------------************************------------------------------
1. Introduction
Due to global warming and exhaustion of
fossil fuels, we are required to reduce CO2
emissions and energy consumption.However, CO2
emissions and energy consumption are
increasingrapidly due to the proliferation of all-
electric houses. As countermeasuresagainst these
problems, in residential sector, installationof
photovoltaic (PV) system and solar collector (SC)
system are proposed. On the other hand, many of
the dispersed generators such as PV can be
connected to Direct Current (DC) sources and
DCsystems are expected to be of high efficiencies
and lower cost dueto the absence of inverter and
rectifier circuits. It is possible tooperate PV and SC
systems in residential house with high efficiency.
Therefore, this equipment can help to reduce the
use of fossil fueland the emission of CO. As these
research, suppress of power fluctuation by loads are
proposed. However, installation of renewable
energy causes frequency fluctuation anddistribution
voltage fluctuation because output power
RESEARCH ARTICLE OPEN ACCESS
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 162
fromrenewable source fluctuates due to weather
condition.
In addition, electricity cost is determined
by maximum electric powerconsumption for the
year. Hence it is possible to reduce electricity cost
by achieving load following control using power
storagefacility. It is necessary to smooth power
flow from distributionsystem to achieve above
technical problems and reduce electricity cost.
Because of the above factors, smart grid concept is
developed which cooperatively balances supply-
demand between powersupply side and power
demand side [7,8]. By applying the smart grid
concept, we can expect high efficiency power
supply, energyconservation and low-carbon
society. For the research of smartgrid, a method to
obtain the optimal operation of thermal unit, battery
and controllable loads by deciding the thermal
unitcommitment is already proposed [9]. The
thermal units can operate in high efficiency by
operating the controllable loads in
coordinatedmanner and can achieve to reduce the
total cost of thermal units.However, the reference
[9] mainly focus on supply side in powersystem, so
it is important to considering demand side. As a
countermeasureat demand side, for maintaining
supply-demand balance, controllable loads can be
used.
The study of supply demand balancing by
power consumption control of controllableload at
each demand side in small power system is already
reportedin Ref. [10]. This paper presents an optimal
operation method of DC smart house group with
the controllable loads in the residential houses asa
smart grid. The DC smart house consists of a solar
collector (SC),a PV generator, a heat pump (HP),
and a battery. HPand battery areused as
controllable loads in this paper.
The proposed method hasbeen developed
in order to achieve the interconnection pointpower
flow within the acceptable range and the reduction
of max-mininterconnection point power flow error
as low as possible tosmooth the supply power from
distribution system. Powerconsumption of
controllable load is determined to optimize themax-
min interconnection point power flow error based
on theinformation collected from power system
through communicationsystem. By applying the
proposed method, we can reduce addition of over
load fluctuation, and it is possible toreduce
electricity cost due to the reduction of the contract
fee forthe electric power company. Also, by using
battery as the powerstorage facility, which can
operate rapidly for charge and/ordischarge, the
rapid output fluctuations of DC load and PV
generatorare compensated.
2. Smart Grid System
The smart grid model is shown in Fig. 1.
The smart grid has sixsmart houses, and connected
to power system and control systemthrough
transmission line and communications
infrastructures.
Fig. 1. Smart grid model
The control system sends required control
signals to smart-housegroup which response to
system conditions. Each smart housedetermines the
operation of controllable loads. The
interconnectionpoint power flow is the power flow
from the power system to thesmart grid in Fig. 1.
DC smart-house model is shown in Fig. 2,
whichconsists of a DC load, a PV module and a
battery. Survey on solar power[32].
3. Smart power management and DC
distribution for residences
Nowadays, DC distribution has found numerous
application switch different voltage levels and
power ratings. DC distribution systems may have a
simple structure containing two converters and a
DC link, such as a high-voltage direct current
system [30],or a complex structure with parallel
connected converters used both for connecting to
the source of energy and supplying loads as in ship
power systems [31–32] and hybrid electrical
vehicles[24,25]. Power converters with high-speed
switching technology promotes to development of
more complex DC distribution system. The
converters are fundamental components of DC
distribution systems so that they can adjust and
stabilize voltage levels throughout the distribution
networks [16].House power management systems
using direct control schemes by means of home
network device have been proposed in many recent
works [18–20,22–24].
DC Grid
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 163
Fig. 2. DC Smart house Model
Microcontroller (MCU) basedintelligent
energy management apparatus were used for
control ofpower flow simply by switching on/off
[31,42]. Another theoretical study presented a
smart home energy system concept based onmany
dispersive parts including smart meter, smart
socket/switch,grid friendly appliance controller,
smart interactive terminal andother smart devices
[43].The current study presents a domestic DC
power distributionconcept containing smart
sockets. Fig. 2 shows schematic diagramof the
proposed domestic DC power distribution system
for smarthouses. SMs work at the core of home
distribution and power managementsystems [45].
SMs are intelligent devices containingpower line
communication units, controllers, measurement
units,rectifiers and inverters. It can perform all
control and communicationoperations concerning
with domestic power managements.Hence, a SM
functions as a fundamental domestic power
managementdevice in smart grids.
The proposed DC/AC outlet smart
socketsare controlled by the SM of the residence
via power linecommunication. Today, SM and
smart sockets can be implementedby using
supervisory control and data acquisition (SCADA)
technologiesand thus the smart sockets turn into
distributed peripheralsof local-area decentralized
load control schemes and become one of
fundamental components for smart house energy
managementsystems. This communication-control-
power infrastructure allowsdevelopment of smart
power application for energy efficiency,power
reliability and demand elasticity.Direct load control
implementing load shedding algorithm canbe
performed via smart sockets and it makes possible
the sheddingloads for cheap energy hours.
Considerably facilitates penetration of intermittent
renewable energy sources into grids [46].
The proposed sockets contain DC/ DC
power conversions with desired voltage levels of
HEAs and thus power conversion becomes more
standardized, controlled and manageable. This
elasticity in consumer demand, domestic DC
distribution facilitates integration and control of
domestic hybrid renewable energy systems (solar
and wind) so that they can be integrated to DC
distribution system, directly [47]. Hence, the DC
distribution supports efficient, clean, decentralized
micro generation for future smart grids [48].Fig.
3(a) shows functional block diagram of the smart
socket concept. The power line communication
module communicates with the SM and conveys
SM commands to the microcontroller.
AC & DC input and AC & DC output
Grid distribution voltage Home distribution voltage DC socket output voltage
240 V AC
400 V AC
240 V AC
120 V DC
Voltage Type Point
5 V DC B–A
48 DC D-A
120 DC E-A
240V AC C-F-G
Table 1:Voltage points used in the DC socket according to the input voltage type of the home.
The microcontroller performs the
commands of SM, measurement and control
operation of power conversion module. Fig. 3(b)
illustrates a smart socket design example. There is
a plastic rectangular tip located on the DC plugs.
The pin corresponds to a rectangular nest placed on
the socket. This conjunction prevents a possible
faulty connection for each DC voltage level on the
plug. For the security purposes, DC neutral can be
grounded in the system. Also, there is a metal side
pin mounted at the down side of the socket and it
provides the ground connection. To prevent faulty
connection in 240 V AC voltage level, this pin
corresponds to a metallic nest on the AC plug. The
socket outlets labeled by {A, B, C, D, E, F, G}
are connected to power conversion and switching
module. A three states appliance priority bottoms
p1, p2 and p3 are placed to the socket case in order
to configure priority of appliance, manually.
Battery
Smart
meter
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 164
Fig. 3. Block diagram of DC distribution smart socket
Table .1, suggests a minimal voltage level
diversity for DC outlets of the proposed smart
socket. However, the output terminals of the DC
power socket can increase in response to potential
new DC volt- age level requirements in future. The
5 V outlets are reserved for low-power consumer
electronics, such as phone chargers, the 48 V
outlets are for mid-power home equipment such as
laptops, TVs and computers, and the 120 V outlets
are for high-power home appliances such as ovens,
air-conditioners and washing machines. The 120 V
DC also supports output standards for domestic
renew- able energy systems, such as solar panel
arrays, it is because that 120 V bus voltage is the
order of the 12 V and 24 V generation volt- ages.
These systems can be directly connected to 120 V
home dis- tribution lines via parallel connection of
an adequate number of solar panels.
4. Optimization method
In this section, optimal operation of smart
grid is determined to minimize the interconnection
point load flow fluctuations. The objective function
and constraints are described below.
Set-up of objective function
From Fig. 1PITPLTPBT and PVT represent
the interconnection point power flow, power
consumption except controllable loads, power
consumption of battery and PV output
powerrespectively, where:
PIT + PBT + PVT = PLT
The supply-demand balancing can maintain the
equilibrium state to satisfy the above equation. In
this paper, the objective function minimizes the
interconnection point power flow fluctuations. Due
to reduce the interconnection point power flow
fluctuations, it is possible to suppress the harmful
effects to power system, and it is possible to reduce
electricity cost.
Objective function:
The objective function and constraints are
described by the following equations:
T: All time section
I: Smart house i group
BIcen: Interconnection point power flow reference
PIt: Interconnection point power flow from power
system to smart grid
PImin: Interconnection point power flow bandwidth
minimumvalue
PImax: Interconnection point power flow bandwidth
maximumvalue
PBit: Charge/discharge power of battery
PBmax: Charge/discharge power maximum value of
battery
CBit: Remaining energy capacity of battery
CBmin: Battery capacity minimum value
CBmax: Battery capacity maximum value
Where, we have power flexibility by
defining bandwidth for interconnection point power
flow in equation we set power flexibility to _10%
from power reference B given by power system in
this paper. Equations (12) and (13) show battery
inverter and capacity constraints, and P Bmax, Icen
¼ 4kW,C ¼ 20% and CBmaxBmin ¼ 80%,
respectively. Furthermore, the proposed
configuration of electric price as shown in Fig. 4
assumes the smart grid system in the future. If
interconnection point power flow within the
bandwidth (Region A), electric purchase cost is 10
Yen/kWh, and if interconnection point power flow
departs from the bandwidth (Regions B and C),
electric purchase cost are 20 Yen/kWh and 30
Yen/kWh, respectively. Moreover, electric selling
cost to power system is 10 Yen/kWh. The
bandwidth is given by power system to smart grid
as power. Fig. 2, the grid can connect to house with
240 V AC or 400 V DC voltage in control of SM.
Two lines with an AC voltage of 240 V and a DC
voltage of 120 V supply sockets inthe house. Each
socket provides 5 V, 48 V or 120 V DC and a
conventional 240 V AC. Conventional power plugs
can be placed in a lateral pins C–F inside the smart
socket and the smart sockets becomes compatible
withconventional 240V HEA standards.
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 165
Tabu Search
TS with local search methodology, which
always moves neighborhood solution, are used for
optimal technique in order to address the problems
for determine charge/discharge power of battery
and HP operation time for each smart house. In this
paper, it is possible to determine heating time of
HP by assuming power consumption, except
controllable loads and heat load which could be
forecasted. Therefore, charge/discharge power of
battery and HP operation time for each smart house
are calculated by using tabu search under the
objective function and constraints. Of course, the
proposed method can be calculated according to
other optimization methods such as dynamic
programming and GA. However, the searching area
is not wide scale so we adopt tabu search. The
details of the optimization are described as follows.
1. It is possible to forecast loads except
controllable load for electrical and heat in each
smart house: PV power output and amount of SC
heat collection are calculated based on insolation
forecasting data.
2. When hot-water temperature in storage
tank is lower than 60C at 19:00, hot-water is heated
to 60C by HP. HP heats the required heat by a fixed
power consumption.
3. Based on the objective function and
constraints, we determinecharge/discharge power
of battery and HP operation time foreach smart
house by using tabu search.
The AC waveform in power distribution is
today’s standard for domestic power distribution.
In this reason, smart sockets should be compatible
with conventional home appliances. Three different
DC voltage levels are considered for DC power
distribution for household equipment in this study.
The 120 V is preferred for DC power delivery
inside buildings because it is sufficient to supply
home loads and this level of voltage is also low
enough to prevent possible hazards. The DC outlets
generate lower DC levels (48 V and 5 V) from 120
V home distribution lines via DC/DC converters in
the sockets.
Table 1 suggests a minimal voltage level
diversity for DC outlets of the proposed smart
socket. However, the output terminals of the DC
power socket can increase in response to potential
new DC volt- age level requirements in future. The
5 V outlets are reserved for low-power consumer
electronics, such as phone chargers, the 48 V
outlets are for mid-power home equipment such as
laptops, TVs and computers, and the 120 V outlets
are for high-power home appliances such as ovens,
air-conditioners and washing machines. The 120 V
DC also supports output standards for domestic
renew- able energy systems, such as solar panel
arrays, it is because that 120 V bus voltage is the
order of the 12 V and 24 V generation volt- ages.
These systems can be directly connected to 120 V
home distribution lines via parallel connection of
an adequate number of solar panels. This voltage
level standardization is suitable for green buildings
and smart houses concepts in future smart grids.
5. Result
The output from the solar panel is 12V,
given to the converter and connected to the grid.
The output of battery also 12V connected to the
grid through converter. The grid connected with
smart meter and smart socket. Smart socket
controlled by smart meter, if load get increased,
then the critical load will be disconnected. By this
process the system stability improved by 20% of its
existing level.
6. Conclusions
This paper has determined an optimal
operation and DC distribution system concept for
smart houses, which consists of a battery and a HP
as controllable loads that may steadily increase in
the demand side in the future. As an optimization
method, we have used the tabu search which
determines the operation method of controllable
loads, to suppress interconnection point power flow
fluctuations within the bandwidth, based on
information obtained by the communications
infrastructures. By smoothing interconnection point
power flow, it is possible to reduce electricity cost
due to the reduction of the contract fee of the
electric power company. Power consumption in
smart grid is smoothed by achieving the proposed
method, so we can suppress the impact of PV
against power system. Consequently, we can expect
high quality power supply and reduce the cost by
cooperative control in smart grid. The concept
gives a perspective for energy efficient green
buildings capable of DSLM. Paper discusses a
possible DC voltage level standardization
according to power rates of HEAs and presents
fundamental components required for smart DC
power management system such as SM, domestic
DC distribution systems and the smart sockets.
Advantages of DC power distribution with smart
sockets in residences are emphasized in term of
domestic renew- able energy and storage
integration and DSLM.
DC sockets make HEAs more energy
efficient and secure because of reducing conversion
losses by using switched mode supplying
technology. In order to implement DC distribution
in residences, a modern DC socket design is
inevitable to meet diversity in DC consumption
levels of HEAs. Smart DC sockets controlled by
SMs also provide a solution for direct load control
methods and implements DSLM application for
smart grid applications. A dynamic energy price
controlled load shedding algorithm was illustrated
for plug load control application by smart sockets.
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 166
The load shedding program embedded in SMs was
demonstrated to govern load shedding operations
according the socket prioritization and power
consumption. Although, it adjusts the total home
consumption of smart house with respect to
maximum electricity cost presetting of consumers,
it still keeps working vital HEAs regardless of
electricity price. Hence, this method allows
dynamic energy price driven and operationally
reliable load shedding based on direct load control
methodology.
References
[1] Nilsson D. DC distribution systems. Goteborg
(Sweden): Technical Report at Chalmers
University of Technology. Chalmers University
of Technology; 2005. p. 3–15.
[2] Cetin E, Yilanci A, Ozturk HK, Colak M,
Kasikci I, Iplikci S. A micro-DC power
distribution system for a residential application
energized by photovoltaic- wind/fuel cell hybrid
energy systems. Energy Build 2010;42(8):1344–
52.
[3] Nair NKC, Garimella N. Battery energy storage
systems: assessment for small- scale renewable
energy integration. Energy Build
2010;42(11):2124–30.
[4] Hammerstrom DJ. AC versus DC distribution
systems—did we get it right? In: IEEE power
engineering society general meeting, Florida,
USA; 2007. p. 1–5.
[5] Hamilton H. DC protection on the electric ship.
In: IEEE 2nd electric ship technologies
symposium, Arlington, Virginia; 2007. p. 294–
300.
[6] Nelms RM, Grigsby LL. Simulation of DC
spacecraft power systems. IEEE Trans Aerospace
Electron Syst 1989;25(1):90–5.
[7] Fitzgerald K, Nair I, Granger M. Electromagnetic
fields: the jury’s still out. IEEE Spectrum
1990;27:23–35.
[8] Kakigano H, Nomura M, Ise T. Loss evaluation
of DC distribution for residential houses
compared with AC system. In: International
power electronics conference, Sapporo, Japan;
2010. p. 480–6.
[9] Amin M, Arafat Y, Lundberg S, Mangold S. Low
voltage DC distribution system compared with
230 V AC. In: IEEE electrical power and energy
conference, Winnipeg, Canada; 2011. p. 340–5.
[10] Karabiber A, Keles C, Kaygusuz A,
Alagoz BB. An approach for the integration of
renewable distributed generation in hybrid
DC/AC microgrid. Renew Energy
2013;52:251–9.
[11]Li W, Mou X, Zhou Y, Marnay C. On voltage
standards for DC home microgrids energized by
distributed sources. In: IEEE 7th international
power electronics and motion control
conference, Harbin, China; 2012. p. 2282–6.
[12] Techakittiroj K, Patumtaewapibal S,
Wongpaibool V, Threevithayanon W. Roadmap
for implementation of DC system in future
houses. In: 13th International conference on
harmonic and quality of power, Wollongong,
Australia; 2008. p. 1–5.
[13] Techakittiroj K, Wongpaibool V. Co-
existance between AC-distribution and DC-
distribution: in the view of appliances. In: 2nd
International conference on computer and
electrical engineering, Dubai, United Arab
Emirates; 2009. p. 421–5.
[14] DeSilva LC, Morikawa C, Petra IM. State
of the art of smart homes. Eng Appl Artif Intell
2012;25(7):1313–21.
[15] Ghaffarian Hoseinia AH, Dahlana ND,
Berardib U, Ghaffarian Hoseinia A, Makaremia
N. The essence of future smart houses: from
embedding ICT to adapting to sustainability
principles. Renew Sust Energy
Rev2013;24:593–607.
[16] Kostková K, Omelina Lˇ, Kycˇina
P, Jamrich P. An introduction to load
management. Electr Power Syst Res
2013;95:184–91.
[17] Tanaka K, Yoza A, Ogimi K, Yona A,
Senjyu T, Funabashi T, et al. Optimal operation
of DC smart house system by controllable loads
based on smart grid topology. Renew Energy
2012;39(1):132–9.
[18] Arnold D, Sankur M, Auslander DM. An
architecture for enabling distributed plug load
control for commercial building demand
response. In: IEEE PES innovative smart grid
technologies (ISGT); 2013. p. 1–6.
[19] Sankur M, Arnold D, Auslander D. An
architecture for integrated commercial building
demand response. In: IEEE power and energy
society general meeting (PES); 2013. p. 1–5.
[20] Weng T, Balaji B, Dutta S, Gupta R,
Agarwal Y. Managing plug-loads for demand
response within buildings. In: Proceedings of
the ACM workshop on embedded sensing
systems for energy-efficiency in buildings,
Seattle, Wa; 2011.
[21] Anbarasu. P, Jayaprakash S, Prakash. S,
Varatharaj .V,Smart Online Energy Monitoring
System. In: Imperial Journal of Interdisciplinary
Research (IJIR) Vol-3, Issue-3, 2017.
[22] Saber Ahmed Yousuf, Chakraborty
Shantanu, Abdur Razzak SM,Senjyu
Tomonobu. Optimization of economic load
dispatch of higher order general cost
polynomials and its sensitivity using modified
particle swarmoptimization. Electric Power Syst
Res Jan. 2009;79(1):98e106.
[23] Datta Manoj, Senjyu Tomonobu, Yona
Atsushi, Funabashi Toshihisa, Kim
International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019
Available at www.ijsred.com
ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 167
ChulHwan.A coordinated control method for
Leveling PV output power fluctuationsof PV-
Diesel Hybrid systems connected to isolated
power Utility. IEEETrans Energy Conversion
Mar. 2009;24(1):153e62.
[24] Goya Tomonori, Senjyu Tomonobu, Yona
Atsushi, Urasaki Naomitsu,Funabashi
Toshihisa, Kim Chul-Hwan. Optimal operation
of controllable loadand battery considering
transmission constraint in smart grid. In: The
9th
International Power and Energy Conference,
no. P0378. Singapore: Suntec;27e29 October
2010. p. 734e9.
[25] Asato Bungo, Goya Tomonori, Uchida
Kosuke, Yona Atsushi,Senjyu Tomonobu,
Funabashi Toshihisa, et al. Optimal Operation
of Smart Gridin Isolated Island. In: The 9th
International Power and Energy Conference,
no.P0402. Singapore: Suntec; 27e29 October
2010. p. 1100e5.
[26] Kurohane Kyohei, Senjyu Tomonobu,
Yona Atsushi, Urasaki Naomitsu,Goya
Tomonori, Funabashi Toshihisa. A Hybrid
smart AC/DC power system.IEEE Trans Smart
Grid September, 2010;1(2):199e204.
[27] Taylor P. Increased renewable energy
Penetration on island power systemsthrough
distributed Fuzzy load control. In: Int. Conf.
Renewable Energies forIslands Toward 100%
RES Supply, Greece; January, 2001.
[28] Moslehi Khosrow, Kumar Ranjit. A
Reliability perspective of the smart grid.IEEE
Trans Smart Grid 2010;1(1):57e64.
[29] Li Fangxing, Qiao Wei, Sun Hongbin,
Wan Hui, Wang Jianhui, Xia Yan, et al.Smart
transmission grid: vision and Framework. IEEE
Trans Smart Grid 2010;1(2):168e77.
[30] Goya Tomonori, Senjyu Tomonobu, Yona
Atsushi, Chakraborty Shantanu,Urasaki
Naomitsu, Funabashi Toshihisa, et al. Optimal
operation of thermalunit and battery by using
smart grid. In: Proc. of International Conference
onElectrical Engineering, no. PSO&C-05; 2010.
[31] Tokudome Motoki, Senjyu Tomonobu,
Yona Atsushi, Funabashi Toshihisa.Frequency
and voltage control of isolated island power
systems by De centralized controllable loads.
In: IEEE Transmission & Distribution
Conferencein Asia 2009; Oct. 2009 (IEEE T
&D 2009) CD-ROM, 4 pages, Seoul, Korea.
[32] D. Vigneshkumar, N. Krishnaveni, P.
Anbarasu, “A Survey on Floating Solar Power
System” International Journal of Current
Research and Modern Education., vol.1, pp.
295-301, 2016.

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Smart monitoring system optimizes smart grid operations

  • 1. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 161 A Step Forward to a Smart Grid by Implanting Smart Monitoring System V.Prasath1 , Dr.V.Chandrasekar2 , Mrs.N.Pushpalatha3 , Mr.S.Sheikameer Batcha4 1 PG Scholar, 2 Professor & Head, 3&4 Assistant Professor, Department of Electrical and Electronics Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. ----------------------------------------************************------------------------------ Abstract: By development of smart Grid, renewable energy such as wind generation (WG) and photovoltaic generation (PV) are getting attention in distributionsystems. Additionally, all-electric apartment houses or residence such as DC smart houses are increasing.However, due to the fluctuating power from renewable energy sources and loads, supply-demandbalancing of power system becomes problematic. Smart grid is a solution to this problem. This paperpresents a methodology for optimal operations of a smart grid, to minimize the power flow fluctuation by reduceinterconnection point and over load connection. To achieve the proposed optimal operation, we use distributed controllable loadssuch as halogen lamps and fans. By minimizing the interconnection point and over load, it is possible to reduce the electric power consumption and the cost of electricity. This system consists of battery, solar collector, and load.Energy efficient smart buildings are possible by integrating smart meter, smart sockets, domestic renewableenergy generation and energy storage systems for integrated energy management, and this integratedsystem supports demand side load management, distributed generation and distributed storageprovisions of future smart grids. Coming era of smart grids has implications for domestic DC distributionconcepts with smarts sockets. Keywords— DC distribution Home electronics appliances Smart buildings and systems Demand side load management Smart grid DC smart house optimal operation Interconnection point power flow and load shedding. ----------------------------------------************************------------------------------ 1. Introduction Due to global warming and exhaustion of fossil fuels, we are required to reduce CO2 emissions and energy consumption.However, CO2 emissions and energy consumption are increasingrapidly due to the proliferation of all- electric houses. As countermeasuresagainst these problems, in residential sector, installationof photovoltaic (PV) system and solar collector (SC) system are proposed. On the other hand, many of the dispersed generators such as PV can be connected to Direct Current (DC) sources and DCsystems are expected to be of high efficiencies and lower cost dueto the absence of inverter and rectifier circuits. It is possible tooperate PV and SC systems in residential house with high efficiency. Therefore, this equipment can help to reduce the use of fossil fueland the emission of CO. As these research, suppress of power fluctuation by loads are proposed. However, installation of renewable energy causes frequency fluctuation anddistribution voltage fluctuation because output power RESEARCH ARTICLE OPEN ACCESS
  • 2. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 162 fromrenewable source fluctuates due to weather condition. In addition, electricity cost is determined by maximum electric powerconsumption for the year. Hence it is possible to reduce electricity cost by achieving load following control using power storagefacility. It is necessary to smooth power flow from distributionsystem to achieve above technical problems and reduce electricity cost. Because of the above factors, smart grid concept is developed which cooperatively balances supply- demand between powersupply side and power demand side [7,8]. By applying the smart grid concept, we can expect high efficiency power supply, energyconservation and low-carbon society. For the research of smartgrid, a method to obtain the optimal operation of thermal unit, battery and controllable loads by deciding the thermal unitcommitment is already proposed [9]. The thermal units can operate in high efficiency by operating the controllable loads in coordinatedmanner and can achieve to reduce the total cost of thermal units.However, the reference [9] mainly focus on supply side in powersystem, so it is important to considering demand side. As a countermeasureat demand side, for maintaining supply-demand balance, controllable loads can be used. The study of supply demand balancing by power consumption control of controllableload at each demand side in small power system is already reportedin Ref. [10]. This paper presents an optimal operation method of DC smart house group with the controllable loads in the residential houses asa smart grid. The DC smart house consists of a solar collector (SC),a PV generator, a heat pump (HP), and a battery. HPand battery areused as controllable loads in this paper. The proposed method hasbeen developed in order to achieve the interconnection pointpower flow within the acceptable range and the reduction of max-mininterconnection point power flow error as low as possible tosmooth the supply power from distribution system. Powerconsumption of controllable load is determined to optimize themax- min interconnection point power flow error based on theinformation collected from power system through communicationsystem. By applying the proposed method, we can reduce addition of over load fluctuation, and it is possible toreduce electricity cost due to the reduction of the contract fee forthe electric power company. Also, by using battery as the powerstorage facility, which can operate rapidly for charge and/ordischarge, the rapid output fluctuations of DC load and PV generatorare compensated. 2. Smart Grid System The smart grid model is shown in Fig. 1. The smart grid has sixsmart houses, and connected to power system and control systemthrough transmission line and communications infrastructures. Fig. 1. Smart grid model The control system sends required control signals to smart-housegroup which response to system conditions. Each smart housedetermines the operation of controllable loads. The interconnectionpoint power flow is the power flow from the power system to thesmart grid in Fig. 1. DC smart-house model is shown in Fig. 2, whichconsists of a DC load, a PV module and a battery. Survey on solar power[32]. 3. Smart power management and DC distribution for residences Nowadays, DC distribution has found numerous application switch different voltage levels and power ratings. DC distribution systems may have a simple structure containing two converters and a DC link, such as a high-voltage direct current system [30],or a complex structure with parallel connected converters used both for connecting to the source of energy and supplying loads as in ship power systems [31–32] and hybrid electrical vehicles[24,25]. Power converters with high-speed switching technology promotes to development of more complex DC distribution system. The converters are fundamental components of DC distribution systems so that they can adjust and stabilize voltage levels throughout the distribution networks [16].House power management systems using direct control schemes by means of home network device have been proposed in many recent works [18–20,22–24]. DC Grid
  • 3. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 163 Fig. 2. DC Smart house Model Microcontroller (MCU) basedintelligent energy management apparatus were used for control ofpower flow simply by switching on/off [31,42]. Another theoretical study presented a smart home energy system concept based onmany dispersive parts including smart meter, smart socket/switch,grid friendly appliance controller, smart interactive terminal andother smart devices [43].The current study presents a domestic DC power distributionconcept containing smart sockets. Fig. 2 shows schematic diagramof the proposed domestic DC power distribution system for smarthouses. SMs work at the core of home distribution and power managementsystems [45]. SMs are intelligent devices containingpower line communication units, controllers, measurement units,rectifiers and inverters. It can perform all control and communicationoperations concerning with domestic power managements.Hence, a SM functions as a fundamental domestic power managementdevice in smart grids. The proposed DC/AC outlet smart socketsare controlled by the SM of the residence via power linecommunication. Today, SM and smart sockets can be implementedby using supervisory control and data acquisition (SCADA) technologiesand thus the smart sockets turn into distributed peripheralsof local-area decentralized load control schemes and become one of fundamental components for smart house energy managementsystems. This communication-control- power infrastructure allowsdevelopment of smart power application for energy efficiency,power reliability and demand elasticity.Direct load control implementing load shedding algorithm canbe performed via smart sockets and it makes possible the sheddingloads for cheap energy hours. Considerably facilitates penetration of intermittent renewable energy sources into grids [46]. The proposed sockets contain DC/ DC power conversions with desired voltage levels of HEAs and thus power conversion becomes more standardized, controlled and manageable. This elasticity in consumer demand, domestic DC distribution facilitates integration and control of domestic hybrid renewable energy systems (solar and wind) so that they can be integrated to DC distribution system, directly [47]. Hence, the DC distribution supports efficient, clean, decentralized micro generation for future smart grids [48].Fig. 3(a) shows functional block diagram of the smart socket concept. The power line communication module communicates with the SM and conveys SM commands to the microcontroller. AC & DC input and AC & DC output Grid distribution voltage Home distribution voltage DC socket output voltage 240 V AC 400 V AC 240 V AC 120 V DC Voltage Type Point 5 V DC B–A 48 DC D-A 120 DC E-A 240V AC C-F-G Table 1:Voltage points used in the DC socket according to the input voltage type of the home. The microcontroller performs the commands of SM, measurement and control operation of power conversion module. Fig. 3(b) illustrates a smart socket design example. There is a plastic rectangular tip located on the DC plugs. The pin corresponds to a rectangular nest placed on the socket. This conjunction prevents a possible faulty connection for each DC voltage level on the plug. For the security purposes, DC neutral can be grounded in the system. Also, there is a metal side pin mounted at the down side of the socket and it provides the ground connection. To prevent faulty connection in 240 V AC voltage level, this pin corresponds to a metallic nest on the AC plug. The socket outlets labeled by {A, B, C, D, E, F, G} are connected to power conversion and switching module. A three states appliance priority bottoms p1, p2 and p3 are placed to the socket case in order to configure priority of appliance, manually. Battery Smart meter
  • 4. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 164 Fig. 3. Block diagram of DC distribution smart socket Table .1, suggests a minimal voltage level diversity for DC outlets of the proposed smart socket. However, the output terminals of the DC power socket can increase in response to potential new DC volt- age level requirements in future. The 5 V outlets are reserved for low-power consumer electronics, such as phone chargers, the 48 V outlets are for mid-power home equipment such as laptops, TVs and computers, and the 120 V outlets are for high-power home appliances such as ovens, air-conditioners and washing machines. The 120 V DC also supports output standards for domestic renew- able energy systems, such as solar panel arrays, it is because that 120 V bus voltage is the order of the 12 V and 24 V generation volt- ages. These systems can be directly connected to 120 V home dis- tribution lines via parallel connection of an adequate number of solar panels. 4. Optimization method In this section, optimal operation of smart grid is determined to minimize the interconnection point load flow fluctuations. The objective function and constraints are described below. Set-up of objective function From Fig. 1PITPLTPBT and PVT represent the interconnection point power flow, power consumption except controllable loads, power consumption of battery and PV output powerrespectively, where: PIT + PBT + PVT = PLT The supply-demand balancing can maintain the equilibrium state to satisfy the above equation. In this paper, the objective function minimizes the interconnection point power flow fluctuations. Due to reduce the interconnection point power flow fluctuations, it is possible to suppress the harmful effects to power system, and it is possible to reduce electricity cost. Objective function: The objective function and constraints are described by the following equations: T: All time section I: Smart house i group BIcen: Interconnection point power flow reference PIt: Interconnection point power flow from power system to smart grid PImin: Interconnection point power flow bandwidth minimumvalue PImax: Interconnection point power flow bandwidth maximumvalue PBit: Charge/discharge power of battery PBmax: Charge/discharge power maximum value of battery CBit: Remaining energy capacity of battery CBmin: Battery capacity minimum value CBmax: Battery capacity maximum value Where, we have power flexibility by defining bandwidth for interconnection point power flow in equation we set power flexibility to _10% from power reference B given by power system in this paper. Equations (12) and (13) show battery inverter and capacity constraints, and P Bmax, Icen ¼ 4kW,C ¼ 20% and CBmaxBmin ¼ 80%, respectively. Furthermore, the proposed configuration of electric price as shown in Fig. 4 assumes the smart grid system in the future. If interconnection point power flow within the bandwidth (Region A), electric purchase cost is 10 Yen/kWh, and if interconnection point power flow departs from the bandwidth (Regions B and C), electric purchase cost are 20 Yen/kWh and 30 Yen/kWh, respectively. Moreover, electric selling cost to power system is 10 Yen/kWh. The bandwidth is given by power system to smart grid as power. Fig. 2, the grid can connect to house with 240 V AC or 400 V DC voltage in control of SM. Two lines with an AC voltage of 240 V and a DC voltage of 120 V supply sockets inthe house. Each socket provides 5 V, 48 V or 120 V DC and a conventional 240 V AC. Conventional power plugs can be placed in a lateral pins C–F inside the smart socket and the smart sockets becomes compatible withconventional 240V HEA standards.
  • 5. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 165 Tabu Search TS with local search methodology, which always moves neighborhood solution, are used for optimal technique in order to address the problems for determine charge/discharge power of battery and HP operation time for each smart house. In this paper, it is possible to determine heating time of HP by assuming power consumption, except controllable loads and heat load which could be forecasted. Therefore, charge/discharge power of battery and HP operation time for each smart house are calculated by using tabu search under the objective function and constraints. Of course, the proposed method can be calculated according to other optimization methods such as dynamic programming and GA. However, the searching area is not wide scale so we adopt tabu search. The details of the optimization are described as follows. 1. It is possible to forecast loads except controllable load for electrical and heat in each smart house: PV power output and amount of SC heat collection are calculated based on insolation forecasting data. 2. When hot-water temperature in storage tank is lower than 60C at 19:00, hot-water is heated to 60C by HP. HP heats the required heat by a fixed power consumption. 3. Based on the objective function and constraints, we determinecharge/discharge power of battery and HP operation time foreach smart house by using tabu search. The AC waveform in power distribution is today’s standard for domestic power distribution. In this reason, smart sockets should be compatible with conventional home appliances. Three different DC voltage levels are considered for DC power distribution for household equipment in this study. The 120 V is preferred for DC power delivery inside buildings because it is sufficient to supply home loads and this level of voltage is also low enough to prevent possible hazards. The DC outlets generate lower DC levels (48 V and 5 V) from 120 V home distribution lines via DC/DC converters in the sockets. Table 1 suggests a minimal voltage level diversity for DC outlets of the proposed smart socket. However, the output terminals of the DC power socket can increase in response to potential new DC volt- age level requirements in future. The 5 V outlets are reserved for low-power consumer electronics, such as phone chargers, the 48 V outlets are for mid-power home equipment such as laptops, TVs and computers, and the 120 V outlets are for high-power home appliances such as ovens, air-conditioners and washing machines. The 120 V DC also supports output standards for domestic renew- able energy systems, such as solar panel arrays, it is because that 120 V bus voltage is the order of the 12 V and 24 V generation volt- ages. These systems can be directly connected to 120 V home distribution lines via parallel connection of an adequate number of solar panels. This voltage level standardization is suitable for green buildings and smart houses concepts in future smart grids. 5. Result The output from the solar panel is 12V, given to the converter and connected to the grid. The output of battery also 12V connected to the grid through converter. The grid connected with smart meter and smart socket. Smart socket controlled by smart meter, if load get increased, then the critical load will be disconnected. By this process the system stability improved by 20% of its existing level. 6. Conclusions This paper has determined an optimal operation and DC distribution system concept for smart houses, which consists of a battery and a HP as controllable loads that may steadily increase in the demand side in the future. As an optimization method, we have used the tabu search which determines the operation method of controllable loads, to suppress interconnection point power flow fluctuations within the bandwidth, based on information obtained by the communications infrastructures. By smoothing interconnection point power flow, it is possible to reduce electricity cost due to the reduction of the contract fee of the electric power company. Power consumption in smart grid is smoothed by achieving the proposed method, so we can suppress the impact of PV against power system. Consequently, we can expect high quality power supply and reduce the cost by cooperative control in smart grid. The concept gives a perspective for energy efficient green buildings capable of DSLM. Paper discusses a possible DC voltage level standardization according to power rates of HEAs and presents fundamental components required for smart DC power management system such as SM, domestic DC distribution systems and the smart sockets. Advantages of DC power distribution with smart sockets in residences are emphasized in term of domestic renew- able energy and storage integration and DSLM. DC sockets make HEAs more energy efficient and secure because of reducing conversion losses by using switched mode supplying technology. In order to implement DC distribution in residences, a modern DC socket design is inevitable to meet diversity in DC consumption levels of HEAs. Smart DC sockets controlled by SMs also provide a solution for direct load control methods and implements DSLM application for smart grid applications. A dynamic energy price controlled load shedding algorithm was illustrated for plug load control application by smart sockets.
  • 6. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 166 The load shedding program embedded in SMs was demonstrated to govern load shedding operations according the socket prioritization and power consumption. Although, it adjusts the total home consumption of smart house with respect to maximum electricity cost presetting of consumers, it still keeps working vital HEAs regardless of electricity price. Hence, this method allows dynamic energy price driven and operationally reliable load shedding based on direct load control methodology. References [1] Nilsson D. DC distribution systems. Goteborg (Sweden): Technical Report at Chalmers University of Technology. Chalmers University of Technology; 2005. p. 3–15. [2] Cetin E, Yilanci A, Ozturk HK, Colak M, Kasikci I, Iplikci S. A micro-DC power distribution system for a residential application energized by photovoltaic- wind/fuel cell hybrid energy systems. Energy Build 2010;42(8):1344– 52. [3] Nair NKC, Garimella N. Battery energy storage systems: assessment for small- scale renewable energy integration. Energy Build 2010;42(11):2124–30. [4] Hammerstrom DJ. AC versus DC distribution systems—did we get it right? In: IEEE power engineering society general meeting, Florida, USA; 2007. p. 1–5. [5] Hamilton H. DC protection on the electric ship. In: IEEE 2nd electric ship technologies symposium, Arlington, Virginia; 2007. p. 294– 300. [6] Nelms RM, Grigsby LL. Simulation of DC spacecraft power systems. IEEE Trans Aerospace Electron Syst 1989;25(1):90–5. [7] Fitzgerald K, Nair I, Granger M. Electromagnetic fields: the jury’s still out. IEEE Spectrum 1990;27:23–35. [8] Kakigano H, Nomura M, Ise T. Loss evaluation of DC distribution for residential houses compared with AC system. In: International power electronics conference, Sapporo, Japan; 2010. p. 480–6. [9] Amin M, Arafat Y, Lundberg S, Mangold S. Low voltage DC distribution system compared with 230 V AC. In: IEEE electrical power and energy conference, Winnipeg, Canada; 2011. p. 340–5. [10] Karabiber A, Keles C, Kaygusuz A, Alagoz BB. An approach for the integration of renewable distributed generation in hybrid DC/AC microgrid. Renew Energy 2013;52:251–9. [11]Li W, Mou X, Zhou Y, Marnay C. On voltage standards for DC home microgrids energized by distributed sources. In: IEEE 7th international power electronics and motion control conference, Harbin, China; 2012. p. 2282–6. [12] Techakittiroj K, Patumtaewapibal S, Wongpaibool V, Threevithayanon W. Roadmap for implementation of DC system in future houses. In: 13th International conference on harmonic and quality of power, Wollongong, Australia; 2008. p. 1–5. [13] Techakittiroj K, Wongpaibool V. Co- existance between AC-distribution and DC- distribution: in the view of appliances. In: 2nd International conference on computer and electrical engineering, Dubai, United Arab Emirates; 2009. p. 421–5. [14] DeSilva LC, Morikawa C, Petra IM. State of the art of smart homes. Eng Appl Artif Intell 2012;25(7):1313–21. [15] Ghaffarian Hoseinia AH, Dahlana ND, Berardib U, Ghaffarian Hoseinia A, Makaremia N. The essence of future smart houses: from embedding ICT to adapting to sustainability principles. Renew Sust Energy Rev2013;24:593–607. [16] Kostková K, Omelina Lˇ, Kycˇina P, Jamrich P. An introduction to load management. Electr Power Syst Res 2013;95:184–91. [17] Tanaka K, Yoza A, Ogimi K, Yona A, Senjyu T, Funabashi T, et al. Optimal operation of DC smart house system by controllable loads based on smart grid topology. Renew Energy 2012;39(1):132–9. [18] Arnold D, Sankur M, Auslander DM. An architecture for enabling distributed plug load control for commercial building demand response. In: IEEE PES innovative smart grid technologies (ISGT); 2013. p. 1–6. [19] Sankur M, Arnold D, Auslander D. An architecture for integrated commercial building demand response. In: IEEE power and energy society general meeting (PES); 2013. p. 1–5. [20] Weng T, Balaji B, Dutta S, Gupta R, Agarwal Y. Managing plug-loads for demand response within buildings. In: Proceedings of the ACM workshop on embedded sensing systems for energy-efficiency in buildings, Seattle, Wa; 2011. [21] Anbarasu. P, Jayaprakash S, Prakash. S, Varatharaj .V,Smart Online Energy Monitoring System. In: Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-3, 2017. [22] Saber Ahmed Yousuf, Chakraborty Shantanu, Abdur Razzak SM,Senjyu Tomonobu. Optimization of economic load dispatch of higher order general cost polynomials and its sensitivity using modified particle swarmoptimization. Electric Power Syst Res Jan. 2009;79(1):98e106. [23] Datta Manoj, Senjyu Tomonobu, Yona Atsushi, Funabashi Toshihisa, Kim
  • 7. International Journal of Scientific Research and Engineering Development– Volume2 Issue 3, May –June 2019 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED: All Rights are Reserved Page 167 ChulHwan.A coordinated control method for Leveling PV output power fluctuationsof PV- Diesel Hybrid systems connected to isolated power Utility. IEEETrans Energy Conversion Mar. 2009;24(1):153e62. [24] Goya Tomonori, Senjyu Tomonobu, Yona Atsushi, Urasaki Naomitsu,Funabashi Toshihisa, Kim Chul-Hwan. Optimal operation of controllable loadand battery considering transmission constraint in smart grid. In: The 9th International Power and Energy Conference, no. P0378. Singapore: Suntec;27e29 October 2010. p. 734e9. [25] Asato Bungo, Goya Tomonori, Uchida Kosuke, Yona Atsushi,Senjyu Tomonobu, Funabashi Toshihisa, et al. Optimal Operation of Smart Gridin Isolated Island. In: The 9th International Power and Energy Conference, no.P0402. Singapore: Suntec; 27e29 October 2010. p. 1100e5. [26] Kurohane Kyohei, Senjyu Tomonobu, Yona Atsushi, Urasaki Naomitsu,Goya Tomonori, Funabashi Toshihisa. A Hybrid smart AC/DC power system.IEEE Trans Smart Grid September, 2010;1(2):199e204. [27] Taylor P. Increased renewable energy Penetration on island power systemsthrough distributed Fuzzy load control. In: Int. Conf. Renewable Energies forIslands Toward 100% RES Supply, Greece; January, 2001. [28] Moslehi Khosrow, Kumar Ranjit. A Reliability perspective of the smart grid.IEEE Trans Smart Grid 2010;1(1):57e64. [29] Li Fangxing, Qiao Wei, Sun Hongbin, Wan Hui, Wang Jianhui, Xia Yan, et al.Smart transmission grid: vision and Framework. IEEE Trans Smart Grid 2010;1(2):168e77. [30] Goya Tomonori, Senjyu Tomonobu, Yona Atsushi, Chakraborty Shantanu,Urasaki Naomitsu, Funabashi Toshihisa, et al. Optimal operation of thermalunit and battery by using smart grid. In: Proc. of International Conference onElectrical Engineering, no. PSO&C-05; 2010. [31] Tokudome Motoki, Senjyu Tomonobu, Yona Atsushi, Funabashi Toshihisa.Frequency and voltage control of isolated island power systems by De centralized controllable loads. In: IEEE Transmission & Distribution Conferencein Asia 2009; Oct. 2009 (IEEE T &D 2009) CD-ROM, 4 pages, Seoul, Korea. [32] D. Vigneshkumar, N. Krishnaveni, P. Anbarasu, “A Survey on Floating Solar Power System” International Journal of Current Research and Modern Education., vol.1, pp. 295-301, 2016.