International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Comparison of Wilkinson Power Divider And Gysel Power Divider Using Ads® For...cscpconf
Wilkinson Power Divider (WPD) and Gysel Power Divider(GPD) are two competing power
dividers and a simple comparison between them helps in choosing the technology for particular
application. In this paper, the performance of Wilkinson Power Divider and Gysel Power
Divider are analyzed based on the insertion loss, return loss, and also the isolation between the
output ports. The insertion loss and return loss of GPD is found to be lower about -3.061dB and
-13.754dB respectively when compared with WPD at a center frequency of 1.5GHz. These
losses of power dividers realized by microstrip line are analyzed with the operating frequency of
3GHz using ADS®
software.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Comparison of Wilkinson Power Divider And Gysel Power Divider Using Ads® For...cscpconf
Wilkinson Power Divider (WPD) and Gysel Power Divider(GPD) are two competing power
dividers and a simple comparison between them helps in choosing the technology for particular
application. In this paper, the performance of Wilkinson Power Divider and Gysel Power
Divider are analyzed based on the insertion loss, return loss, and also the isolation between the
output ports. The insertion loss and return loss of GPD is found to be lower about -3.061dB and
-13.754dB respectively when compared with WPD at a center frequency of 1.5GHz. These
losses of power dividers realized by microstrip line are analyzed with the operating frequency of
3GHz using ADS®
software.
ENERGY EFFICIENT ROUTING ALGORITHM FOR MAXIMIZING THE MINIMUM LIFETIME OF WIR...ijasuc
In wireless sensor network, devices or nodes are generally battery powered devices. These nodes have
limited amount of initial energy that are consumed at different rates, depending on the power level. The
lifetime of the network is defined as the time until the first node fails (or runs out of battery). In this paper
different type of energy efficient routing algorithms are discussed and approach of these algorithms is to
maximize the minimum lifetime of wireless sensor network. Special attention has been devoted for
algorithms formulate the routing problem as a linear programming problem, which uses the optimal flow
path for data transmission and gives the optimum results. Advantages, limitations as well as comparative
study of these algorithms are also discussed in this paper.
DESIGN OF LOW POWER SAR ADC FOR ECG USING 45nm CMOS TECHNOLOGYVLSICS Design
Design of a low power Successive Approximation Register Analog to Digital Converter (SAR ADC) in
45nm CMOS Technology for biopotential acquisition systems is presented. It is designed by using a high
threshold voltage (Vt) cell to reduce power dissipation. A 10-bit SAR ADC is designed and compared with
the low resolution SAR ADC and normal threshold voltage (Vt) ADC with respect to power and delay. The
results show that high Vt SAR ADC saves power upto 67% as compared to low Vt SAR ADC without any
penalty of delay. Other performance metrics studied are the Effective Number of Bits (ENOB) and Signal to
Noise Ratio (SNR), Signal to Noise and Distortion Ratio and Spurious Free Dynamic ratio.
AN EFFICIENT APPROACH TO DELAY ESTIMATION MODEL FOR VLSI INTERCONNECTBUKYABALAJI
Abstract: In recent days there is huge demand for high
speed VLSI networks. In order to judge the behavior of
on-chip interconnects the coupling capacitances and
interconnect delays plays a major role. As we switch to
lower technology there is on-chip inductance effect that
leads to interconnect delay. In this paper we try to apply
second order transfer function designed with finite
difference equation and Laplace transform at the source
and load termination ends. Analysis shows that current
mode signaling in VLSI interconnects provides times
better delay performance than voltage mode.
An Explicit Approach for Dynamic Power Evaluation for Deep submicron Global I...IDES Editor
As the VLSI process technology is shrinking to the
nanometer regime, power consumption of on-chip VLSI
interconnects has become a crucial and an important issue.
There are several methodologies proposed to estimate the onchip
power consumption using Voltage Mode Signaling
technique (VMS). But the major drawback of VMS is that it
increases the power consumption of on-chip interconnects
compared to current mode signaling (CMS). A closed form
formula is, thus, necessary for current mode signaling to
accurately estimate the power dissipation in the distributed
line. In this paper, we derived an explicit dynamic power
formula in S-domain based on Modified Nodal Analysis
(MNA) formulation. The usefulness of our approach is that
dynamic power consumption of an interconnect line can be
estimated accurately and efficiently at any operating
frequency. By substituting s=0 in the vector of node voltages
in our model results similar solution as that of Bashirullah
et. al. Comparison of simulation results with other
established models justifies the accuracy of our approach.
Optimal Siting And Sizing Of Distributed Generation For Radial Distribution S...inventy
Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...IJECEIAES
Due to the ever-increasing power demand, the need of electricity and eco-friendly power in every nook and corner of the world, many reaserch topics have been devoted to deal with this problematic. This paper is taking part of the proposed solutions with the presentation of a novel 5.8 GHz rectenna system for wireless power transmission applications. In one hand, a miniaturized 5.8 GHz circular polarized patch antenna has been designed and simulated by using the Advanced Design System (ADS). In the other hand, a rectifier structure has been investigated and optimized by the use of the Harmonic Balance method available in ADS. The circuit is based on 5 HSMS2820 Schottky diodes implemented in a voltage multiplier topology and a load resistance of 1 KOhm. Both of the structures have been validated by simulation and experimental results and good agreement has been concluded.
A STUDY OF POWER SAVING TECHNIQUE IN WIRELESS NETWORKScscpconf
Much research on wireless networks have focused on the power consumption of the wireless
nodes, while at the same time how to acquire power from ambient environment is another
direction to extend the battery lifetime. Though, mostly extending the lifetime of WSNs rely on
making the electronic circuitry power efficient by incorporating advances in node architecture,
transceivers, access protocols and on finite energy sources like batteries. In contrast, WSNs
Powered by Ambient Energy Harvesting can also prove to be useful and economical in the longterm
as they can operate for very long periods of time until hardware failure, because ambient
energy can be harvested from the environment perpetually. Although cellular networks account
for a rather small share of energy use, lowering their energy consumption appears beneficial
from an economical perspective. In the strive for lessening of the environmental impact of the
information and communication industry, energy consumption of communication networks has
recently received increased attention. The paper discusses the various techniques for increasing
the life of WSNs.
Smart Power Transmission System Using FACTS DeviceIJAPEJOURNAL
Making of smart grids puts mounting pressure on the nation’s aging electric power transmission system. Just planting additional towers and stringing more line won’t practice the nation’s electric power transmission infrastructure to meet up the energy challenges ahead. Smart grids stand geared up to play a much larger role in the energy equation for reduction of transmission line losses. The FACTS controllers come out with the capability of enhancing transmission system control, reliability, and operation. This paper will discuss and express how Static Synchronous Compensator (STATCOM) has effectively been applied to power system for efficiently regulating system voltage and thus increase system load ability. This paper investigates the effects of (STATCOM) on voltage stability of a power system at different positions.The simulation analysis of this paper can be used as guideline for power industry. The study is thereby simulated using the MATLAB/SIMULINK software and simulation results show that STATCOM is effective in midpoint voltage regulation on transmission line. In this paper comparison is also performed between STATCOM and SVC under fault condition and it is proved that STATCOM have the capacity to provide more capacitive power for the period of a fault than SVC.
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’SIJCNCJournal
In this paper, X-Layer protocol is originated which executes mobility error prediction (MEP) algorithm to calculate the remaining energy level of each node. This X-Layer protocol structure employs the mobility aware protocol that senses the mobility concerned to each node with the utilization of Ad-hoc On-Demand Distance Vector (AODV), which shares the information or data specific to the distance among individual nodes. With the help of this theory, the neighbour list will be updated only to those nodes which are mobile resulting in less energy consumption when compared to all (static/mobile) other nodes in the network. Apart from the MEP algorithm, clustering head (CH) election algorithm has also been specified to identify the relevant clusters whether they exists within the network region or not. Also clustering multi-hop routing (CMHR) algorithm was implemented in which the node can identify the cluster to which it belongs depending upon the distance from each cluster surrounding the node. Finally comprising the AODV routing protocol with the Two-Ray Ground method, we implement X-Layer protocol structure by considering MAC protocol in accordance to IEEE 802.15.4 to obtain the best results in energy consumption and also by reducing the energy wastage with respect to each node. The effective results had been illustrated through Network Simulator-II platform.
Abstract: most network charges are based on components’
thermal limits providing correct economic signals to
reinforcing network transformers and lines. However, less
attention is drawn to the reinforcement cost driven by
nodal voltage limits, particularly those resulting from
contingencies. In this work, a new charging approach is
proposed in which busbar power perturbation is linked to
busbar voltage degradation rate which, in turn, is related
to the incremental investment cost required to maintain
voltage levels. The incremental cost results by employing
the use of the nodal voltage spare capacity to gauge the
time to invest in a reactive power compensation device for
a defined load growth rate. The time to invest takes into
account the network nodal voltage profiles under N-1
circuit contingencies (one line outage at a time). Further,
the nodal MW and MVAr perturbations are considered in
this paper. This novel approach is demonstrated on the
IEEE 14 bus network, illustrating the difference in charges
when considering contingencies, therefore, providing
correct forward-looking economic signals to potential
network users. In turn, this will help them make informed
decisions as to whether to invest in reactive power
compensation assets or pay the network operators for
reactive power provision. Most importantly, this new
approach outperforms the currently used power factor (pf)
penalty.
Index Terms: Base LRIC-voltage network charges, CF LRICvoltage network charges, lower Nodal Voltage Limit, Upper
Nodal Voltage Limit, Contingency Factors, Spare nodal voltage
capacity and VAr compensation assets.
Decentralized Group AHP in Multilayer Networks by ConsensusMiguel Rebollo
Talk in PAAMS Conference (Sevilla, 2016). Use of a combined process of consensus and gradient ascent in multiplex networks in order to solve multi criteria optimization problems using Analytical Hierarchical Process (AHP)
ENERGY EFFICIENT ROUTING ALGORITHM FOR MAXIMIZING THE MINIMUM LIFETIME OF WIR...ijasuc
In wireless sensor network, devices or nodes are generally battery powered devices. These nodes have
limited amount of initial energy that are consumed at different rates, depending on the power level. The
lifetime of the network is defined as the time until the first node fails (or runs out of battery). In this paper
different type of energy efficient routing algorithms are discussed and approach of these algorithms is to
maximize the minimum lifetime of wireless sensor network. Special attention has been devoted for
algorithms formulate the routing problem as a linear programming problem, which uses the optimal flow
path for data transmission and gives the optimum results. Advantages, limitations as well as comparative
study of these algorithms are also discussed in this paper.
DESIGN OF LOW POWER SAR ADC FOR ECG USING 45nm CMOS TECHNOLOGYVLSICS Design
Design of a low power Successive Approximation Register Analog to Digital Converter (SAR ADC) in
45nm CMOS Technology for biopotential acquisition systems is presented. It is designed by using a high
threshold voltage (Vt) cell to reduce power dissipation. A 10-bit SAR ADC is designed and compared with
the low resolution SAR ADC and normal threshold voltage (Vt) ADC with respect to power and delay. The
results show that high Vt SAR ADC saves power upto 67% as compared to low Vt SAR ADC without any
penalty of delay. Other performance metrics studied are the Effective Number of Bits (ENOB) and Signal to
Noise Ratio (SNR), Signal to Noise and Distortion Ratio and Spurious Free Dynamic ratio.
AN EFFICIENT APPROACH TO DELAY ESTIMATION MODEL FOR VLSI INTERCONNECTBUKYABALAJI
Abstract: In recent days there is huge demand for high
speed VLSI networks. In order to judge the behavior of
on-chip interconnects the coupling capacitances and
interconnect delays plays a major role. As we switch to
lower technology there is on-chip inductance effect that
leads to interconnect delay. In this paper we try to apply
second order transfer function designed with finite
difference equation and Laplace transform at the source
and load termination ends. Analysis shows that current
mode signaling in VLSI interconnects provides times
better delay performance than voltage mode.
An Explicit Approach for Dynamic Power Evaluation for Deep submicron Global I...IDES Editor
As the VLSI process technology is shrinking to the
nanometer regime, power consumption of on-chip VLSI
interconnects has become a crucial and an important issue.
There are several methodologies proposed to estimate the onchip
power consumption using Voltage Mode Signaling
technique (VMS). But the major drawback of VMS is that it
increases the power consumption of on-chip interconnects
compared to current mode signaling (CMS). A closed form
formula is, thus, necessary for current mode signaling to
accurately estimate the power dissipation in the distributed
line. In this paper, we derived an explicit dynamic power
formula in S-domain based on Modified Nodal Analysis
(MNA) formulation. The usefulness of our approach is that
dynamic power consumption of an interconnect line can be
estimated accurately and efficiently at any operating
frequency. By substituting s=0 in the vector of node voltages
in our model results similar solution as that of Bashirullah
et. al. Comparison of simulation results with other
established models justifies the accuracy of our approach.
Optimal Siting And Sizing Of Distributed Generation For Radial Distribution S...inventy
Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmiss...IJECEIAES
Due to the ever-increasing power demand, the need of electricity and eco-friendly power in every nook and corner of the world, many reaserch topics have been devoted to deal with this problematic. This paper is taking part of the proposed solutions with the presentation of a novel 5.8 GHz rectenna system for wireless power transmission applications. In one hand, a miniaturized 5.8 GHz circular polarized patch antenna has been designed and simulated by using the Advanced Design System (ADS). In the other hand, a rectifier structure has been investigated and optimized by the use of the Harmonic Balance method available in ADS. The circuit is based on 5 HSMS2820 Schottky diodes implemented in a voltage multiplier topology and a load resistance of 1 KOhm. Both of the structures have been validated by simulation and experimental results and good agreement has been concluded.
A STUDY OF POWER SAVING TECHNIQUE IN WIRELESS NETWORKScscpconf
Much research on wireless networks have focused on the power consumption of the wireless
nodes, while at the same time how to acquire power from ambient environment is another
direction to extend the battery lifetime. Though, mostly extending the lifetime of WSNs rely on
making the electronic circuitry power efficient by incorporating advances in node architecture,
transceivers, access protocols and on finite energy sources like batteries. In contrast, WSNs
Powered by Ambient Energy Harvesting can also prove to be useful and economical in the longterm
as they can operate for very long periods of time until hardware failure, because ambient
energy can be harvested from the environment perpetually. Although cellular networks account
for a rather small share of energy use, lowering their energy consumption appears beneficial
from an economical perspective. In the strive for lessening of the environmental impact of the
information and communication industry, energy consumption of communication networks has
recently received increased attention. The paper discusses the various techniques for increasing
the life of WSNs.
Smart Power Transmission System Using FACTS DeviceIJAPEJOURNAL
Making of smart grids puts mounting pressure on the nation’s aging electric power transmission system. Just planting additional towers and stringing more line won’t practice the nation’s electric power transmission infrastructure to meet up the energy challenges ahead. Smart grids stand geared up to play a much larger role in the energy equation for reduction of transmission line losses. The FACTS controllers come out with the capability of enhancing transmission system control, reliability, and operation. This paper will discuss and express how Static Synchronous Compensator (STATCOM) has effectively been applied to power system for efficiently regulating system voltage and thus increase system load ability. This paper investigates the effects of (STATCOM) on voltage stability of a power system at different positions.The simulation analysis of this paper can be used as guideline for power industry. The study is thereby simulated using the MATLAB/SIMULINK software and simulation results show that STATCOM is effective in midpoint voltage regulation on transmission line. In this paper comparison is also performed between STATCOM and SVC under fault condition and it is proved that STATCOM have the capacity to provide more capacitive power for the period of a fault than SVC.
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’SIJCNCJournal
In this paper, X-Layer protocol is originated which executes mobility error prediction (MEP) algorithm to calculate the remaining energy level of each node. This X-Layer protocol structure employs the mobility aware protocol that senses the mobility concerned to each node with the utilization of Ad-hoc On-Demand Distance Vector (AODV), which shares the information or data specific to the distance among individual nodes. With the help of this theory, the neighbour list will be updated only to those nodes which are mobile resulting in less energy consumption when compared to all (static/mobile) other nodes in the network. Apart from the MEP algorithm, clustering head (CH) election algorithm has also been specified to identify the relevant clusters whether they exists within the network region or not. Also clustering multi-hop routing (CMHR) algorithm was implemented in which the node can identify the cluster to which it belongs depending upon the distance from each cluster surrounding the node. Finally comprising the AODV routing protocol with the Two-Ray Ground method, we implement X-Layer protocol structure by considering MAC protocol in accordance to IEEE 802.15.4 to obtain the best results in energy consumption and also by reducing the energy wastage with respect to each node. The effective results had been illustrated through Network Simulator-II platform.
Abstract: most network charges are based on components’
thermal limits providing correct economic signals to
reinforcing network transformers and lines. However, less
attention is drawn to the reinforcement cost driven by
nodal voltage limits, particularly those resulting from
contingencies. In this work, a new charging approach is
proposed in which busbar power perturbation is linked to
busbar voltage degradation rate which, in turn, is related
to the incremental investment cost required to maintain
voltage levels. The incremental cost results by employing
the use of the nodal voltage spare capacity to gauge the
time to invest in a reactive power compensation device for
a defined load growth rate. The time to invest takes into
account the network nodal voltage profiles under N-1
circuit contingencies (one line outage at a time). Further,
the nodal MW and MVAr perturbations are considered in
this paper. This novel approach is demonstrated on the
IEEE 14 bus network, illustrating the difference in charges
when considering contingencies, therefore, providing
correct forward-looking economic signals to potential
network users. In turn, this will help them make informed
decisions as to whether to invest in reactive power
compensation assets or pay the network operators for
reactive power provision. Most importantly, this new
approach outperforms the currently used power factor (pf)
penalty.
Index Terms: Base LRIC-voltage network charges, CF LRICvoltage network charges, lower Nodal Voltage Limit, Upper
Nodal Voltage Limit, Contingency Factors, Spare nodal voltage
capacity and VAr compensation assets.
Decentralized Group AHP in Multilayer Networks by ConsensusMiguel Rebollo
Talk in PAAMS Conference (Sevilla, 2016). Use of a combined process of consensus and gradient ascent in multiplex networks in order to solve multi criteria optimization problems using Analytical Hierarchical Process (AHP)
Análisis dinámico de redes sociales en diferentes eventosMiguel Rebollo
Análisis del comportamiento en twitter de los asistentes a eventos de distintos tipos (congresos, programas de televisión, acciones sociales...). Se detectan patrones comunies en todos ellos.
Ponencia en Comunica 2.0 2014
Análisis de redes comercio mediante procesos de consensoMiguel Rebollo
Trabajo final de máster. Máster en física de sistemas complejos (UPM). Extensión del algoritmo de consenso de Olfati y Murray para incluir redes dinámicas. Aplicación al cálculo de precios en redes de exportadores
Consensus on Multiplex Network To Calculate User Influence in Social NetworksMiguel Rebollo
User influence determines how the information is transmitted. Most of the current methods need to consider the complete network and, if it changes, the calculations have to be repeated from the scratch. This work proposes the use of a consensus algorithm to calculate the influence of the participants in a social event through their interactions in Twitter. Retweets, mentions and replies and considered and represented in a multiplex network. The algorithm determines the influence of the users using only local knowledge.
Talk in NetWorks Conference. El Escorial. Dec. 2013
Guía para el uso de redes sociales en el aprendizaje inversoMiguel Rebollo
Transparencias de la comunicación en las jornadas de innovación educativa en la UPV, Julio 2014.
La charla presenta las hipótesis y las conclusiones principales de trabajo. La guía estará disponible al inicio del curso 2014-15
P LACEMENT O F E NERGY A WARE W IRELESS M ESH N ODES F OR E-L EARNING...IJCI JOURNAL
Energy efficiency solutions are more vital for Gree
n Mesh Network (GMN) campuses. Today students are
benefited using these e-learning methodologies. Ren
ewable energies such as solar, wind, hydro has
tremendous applications on energy efficient wireles
s networks for sustaining the ever growing traffic
demands. One of the major issues in designing a GMN
is minimizing the number of deployed mesh routers
and gateways and satisfying the sustainable QOS bas
ed energy constraints. During low traffic periods t
he
mesh routers are switched to power save or sleep mo
de. In this paper we have mathematically formulated
a
single objective function with multi constraints to
optimize the energy. The objective is to place min
imum
number of Mesh routers and gateways in a set of can
didate location. The mesh nodes are powered using
the solar energy to meet the traffic demands. Two g
lobal optimisation algorithms are compared in this
paper to optimize the energy sustainability, to gua
rantee seamless connectivity
Grid reactive voltage regulation and cost optimization for electric vehicle p...nooriasukmaningtyas
Expecting large electric vehicle (EV) usage in the future due to environmental issues, state subsidies, and incentives, the impact of EV charging on the power grid is required to be closely analyzed and studied for power quality, stability, and planning of infrastructure. When a large number of energy storage batteries are connected to the grid as a capacitive load the power factor of the power grid is inevitably reduced, causing power losses and voltage instability. In this work large-scale 18K EV charging model is implemented on IEEE 33 network. Optimization methods are described to search for the location of nodes that are affected most due to EV charging in terms of power losses and voltage instability of the network. Followed by optimized reactive power injection magnitude and time duration of reactive power at the identified nodes. It is shown that power losses are reduced and voltage stability is improved in the grid, which also complements the reduction in EV charging cost. The result will be useful for EV charging stations infrastructure planning, grid stabilization, and reducing EV charging costs.
A Review on Power Quality Issues and their Mitigation Techniques in Microgrid...ijtsrd
Power Quality is playing an increasingly significant role both at supply and demand sides. With the advent of participation of private players in distribution systems, the power quality is expected to be the pivotal decisive factor before the consumers. Due to ever growing application of switching devices, the power quality is bound to get deteriorated, at the same time such devices are also prone to malfunction due to poor power quality. The world is driven by the carbon emission to replace the conventional generation by as much renewable generation as possible. The above situation has attracted the attention of researchers to identify and suggest the mitigation techniques of power quality issue’s for improving the performance of microgrid containing renewable energy resources. An attempt has been made to comprehensively present a review of the research carried out thusfar. Anita Chaudhery | Pramod Kumar Rathore "A Review on Power Quality Issues and their Mitigation Techniques in Microgrid System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49299.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49299/a-review-on-power-quality-issues-and-their-mitigation-techniques-in-microgrid-system/anita-chaudhery
Distributed energy resources (DER) based micro grid and Nano-grid framework is most technically viable bottom-top approach to sustainably meet ever-increasing demand of rural and urban communities. Recently the growth of DC operative home appliances like mobile and lap top chargers, ovens and hair dryer’s etc. are increasing and therefore a DC/DC converter is an efficient way to meet the electricity need from the local DER and helps in improving the system efficiency. This paper presents simulation results of a buck boost converter, MPPT algorithm (P & O method) for solar PV module and closed loop PI control system for obtaining constant 12 V and 24 V DC output voltage at DC bus. The proposed methodology is to extract maximum DC power from solar PV system and it is directly fed to DC load or DC Nano grid.
Grid forming convertor technologies can provide the same benefit as synchronous generators in that they can generate their own voltage sources, hence act as ‘anchor’ generators. They can also provide fast-acting frequency response and are more stable in weak networks compared to grid following convertor technologies. However, they are currently not deployed at scale. Grid following convertor plant is currently deployed at scale within GB and can contribute to restoration but only in a supporting role. The Distributed ReStart project has commissioned work looking at how grid forming & grid following convertor technologies can support restoration. The initial results will be published in the “Assessment of Power Engineering Aspects of Black Start from DER” report on the webste at the end of July.
SSD2014 Invited keynote: Research challenges in Microgrid technolgiesJuan C. Vasquez
microgrid could be defined as a part of the grid with elements like distributed energy sources, power electronics converters, energy storage devices and controllable local loads that could operate autonomously islanded but also interacting with the main power network in a controlled, coordinated way. Following the introduction of distributed control of these elements, cooperative control and hierarchical control schemes for coordination of the power electronics converters in order to control the power flow and to enhance the power quality will be elaborated. The focus will be on the analysis, modelling, and control design of power electronics based microgrids as well as power electronics control and communications. Further, the interconnection of microgrid clusters will be emphasized as an important step towards utilization of the Smartgrid concept.
A Comprehensive Review of Protection Schemes for Distributed GenerationUmair Shahzad
Due to the increasing demand of energy and the need for nonconventional energy sources, distributed generation (DG) has come into play. The trend of unidirectional power flow has been gradually shifting. With new technology comes new challenges, the introduction of DG into the conventional power system brings various challenges; one of the major challenges is system protection under DG sources. These sources pose a significant challenge due to bidirectional flows from DGs as well as lower fault current contribution from inverter interfaced DGs. This paper reviews existing protection schemes that have been suggested for active distribution networks. Most of these protection strategies apply only to smaller distribution systems implying that they may need to be extended to larger systems with a much higher penetration of distributed generation. In the end, a potential protection scheme has also been recommended as a future work.
A Passive Islanding Detection Method for Neutral point clamped Multilevel Inv...IJECEIAES
Presently renewable energies have taken a special place in the world and most of the Distributed Generations (DGs) used in the interconnected power system are utilized, renewable energy resources. Due to the DG‟s advantages, including use of renewable energy such as, clean nature, does not pollute environment and having endless nature the use of these renewable resources to produce electrical energy in the world are increasing in day to day life. One problem with such Distributed generators is an unintentional islanding phenomenon. Islanding occurs when a Distributed Generation continues to energize an isolated part of a power system even after it was disconnected from the main grid, which is surrounded by unpowered lines. Since islanding can cause hazardous conditions for people and equipment which is connected to it. As per IEEE 1547 DG Interconnection standards, islanding should be quickly detected within 2 seconds, by protective relays and inverters that are part of the DG system. In this paper, a new passive method to identify islanding states has been proposed, based on the rate of change of frequency analysis (ROCOF) for a multilevel inverter based solar distributed generation systems. This method is efficient for both connecting DGs to the network with or without the Inverter. This method is more efficient than the existing methods and reducing the Non Detection Zone (NDZ), which is the disadvantage of existing passive methods and also clearly differentiating between the Islanding and Non-islanding events. The simulation results, which are carried on the MATLAB/Simulink environment shows the performance of the proposed method
Power Quality Improvement with Multilevel Inverter Based IPQC for MicrogridIJMTST Journal
A micro grid is a hybrid power system consists of several distributed resources and local loads .Now a
days with increasing on a day to day life micro grid plays a vital role in power generation using Renewable
Energy Sources. Usage of power electronic devices in a micro grid results in harmonic generation and leads to
various power quality issues. Inorder to overcome voltage fluctuations and over current a magnetic flux
control based variable reactor is proposed. The performance of IPQC can be verified by using
MATLAB/SIMULINK`
GTG-CoL: A Decentralized Federated Learning Based on Consensus for Dynamic N...Miguel Rebollo
Paper presented in the
Practical Applications of Agents and Multiagent Systems Ciobnference (PAAMS '23). An algorithm for distributed federated learning that uses consensus in a network to buid an aggregated mode sharing weights and bias with direct neighbors
Co-Learning: Consensus-based Learning for Multi-Agent SystemsMiguel Rebollo
Distributed federated learning using consensus with intelligent agents over a network. Work presented to the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems. July 2022 L'Aquila (Italy)
Exámenes en grupo y pruebas de corrección como alternativas a la evaluaciónMiguel Rebollo
Uso de exámenes en dos etapas y exámenes en grupo como alternativas a las pruebas objetivas individuales.
Trabajo presentado a la VII conferenica de innovación educativa y docencia en red UPV
Distributed Ledger and Robust Consensus for AgreementsMiguel Rebollo
Word presented in EUMAS-AT '18 conference at Bergen (NO). Proposes a robust consensus model that allows detecting cheating nodes. Application to distributed ledger (DLT)
Detección de nodos tramposos en procesos de consenso en redesMiguel Rebollo
Presentación para el I workshop de ciencia de datos en redes sociales. Método robusto de consenso en redes complejas que detecta y corrige desviaciones. Aplicación a 3 escenarios: votación distribuida, ataques adversarios y blockchain
La hora del código: ApS para fomentar el pensamiento computacionalMiguel Rebollo
Ponencia en el IX congreso de aprendizaje-servicio en educación superior. UAM. Madrid, 2018. Experiencia de creación de una actividad de la hyora del código por los alumnos de Introducción a la Programación de la ETS Informática (UPV)
desarrollo de competencias a través de narrativas transmediaMiguel Rebollo
Protocolo de investigación para el módulo de Iniciación a la investigación educativa (ICE-UPV) Proyecto sobre el uso de narrativa trasnmedia en educación superior para el trabjo de competencis transversales
A proposal for a Crowdsourcing Approach for Last Mile Delivery (CALMeD) to extend the SOURF framework. The system take advantage of the movements of citizens in urban enviroments. Application to Valencia, using its bike rental service
Using geo-tagged sentiment to better understand social interactionsMiguel Rebollo
Demo of uTool: toollkit to analyze the activity in cities throughout the activity of users in social networks. It includes geolocation, analysis of the interactions and sentiment analysis
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Consensus in Smart Grids for Decentralized Energy Management
1. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Consensus in Smart Grids for Decentralized Energy
Management
M. Rebollo C. Carrascosa A. Palomares
Univ. Politècnica de València (Spain)
MASGES ’14
Salamanca, June 2014
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
2. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Energy management problem
Motivation
New control mechanisms are needed for the near future power
systems
components connected in some network structure
large scale → avoid information overload
decentralized and distributed control mechanisms
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
3. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Our proposal
The challenge
Create a self-adaptive MAS that adapts itself to the electrical
demand using local information.
What is done. . .
combination of gossip protocols to spread information to
direct neighbors
real-time adaption to changes in the demand
failure tolerant
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
4. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Outline
1 Outline
2 Network characterization
3 Adaptive consensus-based distributed coordination mechanism
4 Adaption to demand
5 Adaption to failures
6 Conclusions
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
5.
6. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Balearic Islands power grid
0 1 2 3 4 5
−0.5
0
0.5
1
1.5
2
2.5
Station Degree Distribution
log(nodes)
log(degree)
57 substations and 82
lines (30kV to 220kV)
average degree = 2.8
diameter = 14
average path length = 4.7
clustering coef. = 0.33
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
7. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Centrality measures
degree: node with more
connections
closeness: distance to the
rest of the nodes
betweenness: number of
paths that uses the node
eigenvector: links with
other important nodes
k-core: connected with
nodes with degree ≥ k
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
8.
9. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Consensus process
1.
each node has an initial value
1 2
3 4
x1 = 0.4 x2 = 0.2
x3 = 0.3 x4 = 0.9
x1 = 0.4
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
10. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Consensus process
2.
the value is passed to the
neighbors
1 2
3 4
x1 = 0.4 x2 = 0.2
x3 = 0.3 x4 = 0.9
x1 = 0.4
x1 = 0.4
x1 = 0.4
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
11. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Consensus process
3.
the values from the neighbors
are received
1 2
3 4
x1 = 0.4 x2 = 0.2
x3 = 0.3 x4 = 0.9
x2 = 0.2
x4 = 0.9
x3 = 0.3
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
12. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Consensus process
4.
the new value is calculated by
x(t+1) = x(t)+ε
j∈Ni
[xj(t) − xi (t)]
where ε < mini
1
di
1 2
3 4
x1 = 0.45 x2 = 0.425
x3 = 0.325 x4 = 0.6
x1 = 0.4
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
13. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Data aggregation protocols
consensus can not calculate aggregate values
consensus belongs to a broader family of protocols
network topology: unstructured
routing scheme: gossip
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
14. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Push-Sum algorithm
1 {(ˆsr , ˆwr )} the pairs received by i at step t − 1
2 si (t) ← r ˆsr
3 wi (t) ← r ˆwr
4 a target fi (t) is chosen randomly
5 1
2 si (t), 1
2 wi (t) is sent to fi (t) and to i (itself)
6
si (t)
wi (t) is the value calculated for step t
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
15. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Push-Sum formulation
si (t+1) =
si (t)
di + 1
+
j∈Ni
sj(t)
dj + 1
, wi (t+1) =
wi (t)
di + 1
+
j∈Ni
wj(t)
dj + 1
where di is the number of neighbors of agent i (degree of i).
si (t)/wi (t) converges to
lim
t→∞
si (t)
wi (t)
=
i
si (0)
when wi (0) = 1 ∀i.
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
16. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Combination of Push-Sum and consensus
gossip is used to
1 determine the number of active substations
2 calculate the total capacity of the network
consensus is used to adjust the total demand (follow the
leader)
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
17. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Energy pattern
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
18. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to the demand
0 50 100 150
0
100
200
300
400
500
600
700
Adaption to the Demand
#epoch
demand(MWh)
cummulated demand
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
19. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to the demand
0 50 100 150
0
100
200
300
400
500
600
700
Adaption to the Demand
#epoch
demand(MWh)
cummulated demand
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
20. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to the demand
0 50 100 150
0
100
200
300
400
500
600
700
Adaption to the Demand
#epoch
demand(MWh)
cummulated demand
50 55 60 65 70
580
590
600
610
620
630
640
650
660
Adaption to the Demand (zoom)
#epoch
demand(MWh)
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
21. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to the demand
0 50 100 150
0
100
200
300
400
500
600
700
Adaption to the Demand
#epoch
demand(MWh)
cummulated demand
50 55 60 65 70
580
590
600
610
620
630
640
650
660
Adaption to the Demand (zoom)
#epoch
demand(MWh)
0 200 400 600 800 1000 1200 1400 1600 1800 2000
400
500
600
700
Adaption to the Demand (2 weeks)
#epoch
demand(MWh)
cummulated demand
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
22. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Evolution of the relative error
0 200 400 600 800 1000 1200 1400 1600 1800 2000
−0.04
−0.02
0
0.02
0.04
%error
#epoch
Evolution of the relative error
0 200 400 600 800 1000 1200 1400 1600 1800 2000
−0.04
−0.02
0
0.02
0.04
Evolution of the relative error adapting to a random demand
#epoch
%error
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
23. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to failures
350 375 400 425 450
5800
6000
6200
6400
6600
6800
7000
#epochs
errorrate
Evolution after a change in the demand
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
24. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to failures
350 375 400 425 450
5800
6000
6200
6400
6600
6800
7000
#epochs
errorrate
Evolution after a change in the demand
350 400 450 500 550
1.38
1.4
1.42
1.44
1.46
1.48
1.5
x 10
4
#epochs
errorrate
Evolution after the failure of one substation
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
25. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Adaption to failures
200 400 600 800 1000 1200 1400 1600 1800 2000
−20
−10
0
10
20
#epochs
errorrate
Comparitions of the evolution of the error rate (Llucmajor substation failure)
no failures
substat fail
difference
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management
26. Outline Network characterization ADCDA Adaption to demand Adaption to failures Conclusions
Conclusions
What we’ve done
To apply a combination of gossip methods to create a failure
tolerant, self-adaptive MAS that manages an electrical network
information exchanged with direct neighbors only
no global repository of data nor central control needed
push-sum and consensus protocol combined
the network adapts itself to changes in the electrical demand
failures are detected and assumed by the rest of active
substations
M. Rebollo et al. (UPV) MASGES’14
Consensus in Smart Grids for Decentralized Energy Management