Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007741
Sean Yaw, B. Mumey, Erin McDonald, Jennifer Lemke
Smart grid technology has the opportunity to revolutionize our control over power consumption. Currently power-requesting jobs are scheduled in an on-demand fashion; power draw begins when the consumer requests power (turns on an appliance) and ends when the job is complete (appliance is turned off). Often such jobs may have some flexibility in their starting times (e.g. a dishwasher or electric vehicle charger). We consider the problem scheduling power jobs so as to minimize peak demand. We first consider a general version of the problem in which the job intervals can be staggered. While the problem is known to be NP-hard (we show it is even NP-hard to approximate), we provide an effective new heuristic algorithm. For several important special cases, we provide new constant-factor approximation algorithms that improve on previous results. Simulation results using real power job data show that our algorithms improve on existing methods.
{"title":"Peak demand scheduling in the Smart Grid","authors":"Sean Yaw, B. Mumey, Erin McDonald, Jennifer Lemke","doi":"10.1109/SmartGridComm.2014.7007741","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007741","url":null,"abstract":"Smart grid technology has the opportunity to revolutionize our control over power consumption. Currently power-requesting jobs are scheduled in an on-demand fashion; power draw begins when the consumer requests power (turns on an appliance) and ends when the job is complete (appliance is turned off). Often such jobs may have some flexibility in their starting times (e.g. a dishwasher or electric vehicle charger). We consider the problem scheduling power jobs so as to minimize peak demand. We first consider a general version of the problem in which the job intervals can be staggered. While the problem is known to be NP-hard (we show it is even NP-hard to approximate), we provide an effective new heuristic algorithm. For several important special cases, we provide new constant-factor approximation algorithms that improve on previous results. Simulation results using real power job data show that our algorithms improve on existing methods.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"3 1","pages":"770-775"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72850632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007618
T. Erseghe
This paper deals with the solution of the optimal power flow (OPF) problem under voltage regulation by means of a distributed algorithm. Taking inspiration from the recent literature on distributed-OPF, the approach is developed via the alternating direction method of multipliers (ADMM), and provides a fully decentralized, scalable, very fast, and robust method, whose performance is shown in meaningful scenarios. Unlike most of the literature, no semidefinite programming (SDP) relaxations of the OPF problem is used, but local subproblems are addressed via efficient interior point methods (IPMs) to guarantee limited local processing efforts.
{"title":"A distributed algorithm for fast optimal power flow regulation in Smart Grids","authors":"T. Erseghe","doi":"10.1109/SmartGridComm.2014.7007618","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007618","url":null,"abstract":"This paper deals with the solution of the optimal power flow (OPF) problem under voltage regulation by means of a distributed algorithm. Taking inspiration from the recent literature on distributed-OPF, the approach is developed via the alternating direction method of multipliers (ADMM), and provides a fully decentralized, scalable, very fast, and robust method, whose performance is shown in meaningful scenarios. Unlike most of the literature, no semidefinite programming (SDP) relaxations of the OPF problem is used, but local subproblems are addressed via efficient interior point methods (IPMs) to guarantee limited local processing efforts.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"514 1","pages":"31-36"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77355645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007657
A. Sanz, P. J. Piñero, J. M. Idiago, Santiago Esteban, José Ignacio García
A high performance Advanced Metering Infrastructure (AMI) is key to the adequate development of the Smart Grid. There are several technologies that can be used to deploy it, being PLC (Power Line Communications) the most extended, at least in western European countries. A PLC AMI is composed of a data concentrator and a number of meters, being restricted to a transformer substation due to the properties of current PLC technologies. However, this configuration is not suitable for other electrical networks (like American), where the number of meters per substation is very limited and the utilities are forced to install a high number of expensive data concentrators or to move to wireless technologies. To solve this problem, in this paper a new structure for PLC AMI networks, which take advantage of frequency band extension, is proposed and tested in a real environment in Colombia. Furthermore, the feasibility of deploying a metering network in this scenario is also evaluated through simulation. To this end, it is used the PRIME (PoweRline Intelligent Metering Evolution) standard, which is one of the most extended for PLC metering networks nowadays.
{"title":"Narrowband power line communications evaluation in complex distribution networks","authors":"A. Sanz, P. J. Piñero, J. M. Idiago, Santiago Esteban, José Ignacio García","doi":"10.1109/SmartGridComm.2014.7007657","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007657","url":null,"abstract":"A high performance Advanced Metering Infrastructure (AMI) is key to the adequate development of the Smart Grid. There are several technologies that can be used to deploy it, being PLC (Power Line Communications) the most extended, at least in western European countries. A PLC AMI is composed of a data concentrator and a number of meters, being restricted to a transformer substation due to the properties of current PLC technologies. However, this configuration is not suitable for other electrical networks (like American), where the number of meters per substation is very limited and the utilities are forced to install a high number of expensive data concentrators or to move to wireless technologies. To solve this problem, in this paper a new structure for PLC AMI networks, which take advantage of frequency band extension, is proposed and tested in a real environment in Colombia. Furthermore, the feasibility of deploying a metering network in this scenario is also evaluated through simulation. To this end, it is used the PRIME (PoweRline Intelligent Metering Evolution) standard, which is one of the most extended for PLC metering networks nowadays.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"20 1","pages":"266-271"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76277994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007677
Kubilay Demir, Daniel Germanus, N. Suri
In the power distribution domain, the increasing penetration of Distributed Generation (DG) requires reliable, real-time and cost effective communication in order to manage the grid safely and securely. To achieve this goal, a heterogeneous network (mixing the public Internet and private networks) is a promising solution due to its cost effectiveness. However, the current Internet infrastructure does not support reliable real time communication. To cope with these challenges, we propose QoS routing based on a novel overlay network protocol. Moreover, the protocol provides fault-tolerant communication for critical applications by applying multi-path routing over disjoint paths. Simulation results demonstrates that the proposed overlay network and algorithms perform well in obtaining QoS-aware overlay routing service in scalable manner as well as fault-tolerance for the critical application.
{"title":"Robust and real-time communication on heterogeneous networks for smart distribution grid","authors":"Kubilay Demir, Daniel Germanus, N. Suri","doi":"10.1109/SmartGridComm.2014.7007677","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007677","url":null,"abstract":"In the power distribution domain, the increasing penetration of Distributed Generation (DG) requires reliable, real-time and cost effective communication in order to manage the grid safely and securely. To achieve this goal, a heterogeneous network (mixing the public Internet and private networks) is a promising solution due to its cost effectiveness. However, the current Internet infrastructure does not support reliable real time communication. To cope with these challenges, we propose QoS routing based on a novel overlay network protocol. Moreover, the protocol provides fault-tolerant communication for critical applications by applying multi-path routing over disjoint paths. Simulation results demonstrates that the proposed overlay network and algorithms perform well in obtaining QoS-aware overlay routing service in scalable manner as well as fault-tolerance for the critical application.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"50 1","pages":"386-391"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78234496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007639
H. Khadilkar, V. Chandan, Sandeep Kalra, S. Ghai, Zainul Charbiwala, T. Ganu, R. Kunnath, C. Lim, D. Seetharam
Office buildings in developing countries employ battery backups with inverters and/or diesel generators to power essential loads such as lighting, air conditioning and computing loads during power cuts. Since these backup solutions are expensive and inefficient, they form a significant proportion of the operating expenses. To address this problem, we propose using a personal comfort system (an illustrative configuration can comprise a LED light and a DC desk fan) that is powered by batteries in computing devices. With this approach, cost savings are realized through two mechanisms, (i) by reducing the dependence on high-power lighting and air conditioning during times of power outage, and (ii) by charging the batteries at optimal times, taking advantage of the variable cost of power supply. Simulations show that the expected energy savings from this methodology are in the region of 26%, compared with the current system. In this paper, we present various architectures for the load-battery combination, a dynamic programming based framework that generates optimal charging/discharging schedules, and an experimental evaluation of the proposed approach.
{"title":"DC Picogrids as power backups for office buildings","authors":"H. Khadilkar, V. Chandan, Sandeep Kalra, S. Ghai, Zainul Charbiwala, T. Ganu, R. Kunnath, C. Lim, D. Seetharam","doi":"10.1109/SmartGridComm.2014.7007639","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007639","url":null,"abstract":"Office buildings in developing countries employ battery backups with inverters and/or diesel generators to power essential loads such as lighting, air conditioning and computing loads during power cuts. Since these backup solutions are expensive and inefficient, they form a significant proportion of the operating expenses. To address this problem, we propose using a personal comfort system (an illustrative configuration can comprise a LED light and a DC desk fan) that is powered by batteries in computing devices. With this approach, cost savings are realized through two mechanisms, (i) by reducing the dependence on high-power lighting and air conditioning during times of power outage, and (ii) by charging the batteries at optimal times, taking advantage of the variable cost of power supply. Simulations show that the expected energy savings from this methodology are in the region of 26%, compared with the current system. In this paper, we present various architectures for the load-battery combination, a dynamic programming based framework that generates optimal charging/discharging schedules, and an experimental evaluation of the proposed approach.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"39 1","pages":"157-162"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80164932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007754
Stephen E. McLaughlin, S. Zonouz
Control systems rely on accurate sensor measurements to safely regulate physical processes. In False Data Injection (FDI) attacks, adversaries inject forged sensor measurements into a control system in hopes of misguiding control algorithms into taking dangerous actions. Traditional FDI attacks mostly require adversaries to know the full system topology, i.e., hundreds or thousands of lines and buses, while having unpredictable consequences. In this paper, we present a new class of FDI attacks directly against individual Programmable Logic Controllers (PLCs), which are ubiquitous in power generation and distribution. Our attack allows the adversary to have only partial information about the victim subsystem, and produces a predictable malicious result. Our attack tool analyzes an I/O trace of the compromised PLCs to produce a set of inputs to achieve the desired PLC outputs, i.e., the system behavior. It proceeds in two steps. First, our tool constructs a model of the PLC's internal logic from the I/O traces. Second, it searches for a set of inputs that cause the model to calculate the desired malicious behavior. We evaluate our tool against a set of representative control systems and show that it is a practical threat against insecure sensor configurations.
{"title":"Controller-aware false data injection against programmable logic controllers","authors":"Stephen E. McLaughlin, S. Zonouz","doi":"10.1109/SmartGridComm.2014.7007754","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007754","url":null,"abstract":"Control systems rely on accurate sensor measurements to safely regulate physical processes. In False Data Injection (FDI) attacks, adversaries inject forged sensor measurements into a control system in hopes of misguiding control algorithms into taking dangerous actions. Traditional FDI attacks mostly require adversaries to know the full system topology, i.e., hundreds or thousands of lines and buses, while having unpredictable consequences. In this paper, we present a new class of FDI attacks directly against individual Programmable Logic Controllers (PLCs), which are ubiquitous in power generation and distribution. Our attack allows the adversary to have only partial information about the victim subsystem, and produces a predictable malicious result. Our attack tool analyzes an I/O trace of the compromised PLCs to produce a set of inputs to achieve the desired PLC outputs, i.e., the system behavior. It proceeds in two steps. First, our tool constructs a model of the PLC's internal logic from the I/O traces. Second, it searches for a set of inputs that cause the model to calculate the desired malicious behavior. We evaluate our tool against a set of representative control systems and show that it is a practical threat against insecure sensor configurations.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"47 1","pages":"848-853"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83130218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SMARTGRIDCOMM.2014.7007716
Omid Ardakanian, C. Rosenberg, S. Keshav
Significant cost reduction in recent years has made solar power an economically competitive power source in many regions today. In view of this, and the widespread introduction of electric vehicles (EVs) to the mass market, we study public EV charging stations with on-site solar generation that are backed up by conventional power from the grid. Since the carbon footprint of conventional power is higher than solar power, charging deadlines can critically affect the total solar energy available to charging stations and therefore the overall carbon footprint of the charging service. In this paper, we propose a method to quantify how much carbon footprint can be reduced as a function of the charging deadline by describing a performance-guaranteed fair power allocation algorithm in a public charging station. This enables us to study the three-way tradeoff between the charging deadline, the utility of EV owners, and the carbon footprint of EV charging. We find that our algorithm makes nearly optimal use of available green energy, while still guaranteeing that solar charging performs no worse than grid charging.
{"title":"Quantifying the benefits of extending electric vehicle charging deadlines with solar generation","authors":"Omid Ardakanian, C. Rosenberg, S. Keshav","doi":"10.1109/SMARTGRIDCOMM.2014.7007716","DOIUrl":"https://doi.org/10.1109/SMARTGRIDCOMM.2014.7007716","url":null,"abstract":"Significant cost reduction in recent years has made solar power an economically competitive power source in many regions today. In view of this, and the widespread introduction of electric vehicles (EVs) to the mass market, we study public EV charging stations with on-site solar generation that are backed up by conventional power from the grid. Since the carbon footprint of conventional power is higher than solar power, charging deadlines can critically affect the total solar energy available to charging stations and therefore the overall carbon footprint of the charging service. In this paper, we propose a method to quantify how much carbon footprint can be reduced as a function of the charging deadline by describing a performance-guaranteed fair power allocation algorithm in a public charging station. This enables us to study the three-way tradeoff between the charging deadline, the utility of EV owners, and the carbon footprint of EV charging. We find that our algorithm makes nearly optimal use of available green energy, while still guaranteeing that solar charging performs no worse than grid charging.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"16 1","pages":"620-625"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81658436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007652
Mingyi Hong, Hao Zhu
In this paper, we consider the power efficient operation of a wireless Heterogeneous Network (HetNet). Reducing the energy consumption is crucial for a successful HetNet deployment, as the increasing number of distributed base stations (BSs) leads to significant economical and environmental concerns. For traditional wireless networks, power efficiency is achieved by designing the transmit strategies in a way that minimal amount of transmit power is achieved within the BS. However, the rapid penetration of renewable energy sources as well as the recent trend of powering the HetNet using smart grids require a fresh look at the well-studied problem. Meanwhile, increasing demand for powering wireless networks also introduces additional operational concerns for the power grid. In this paper, we show how to jointly model these two systems for power efficient operation. We formulate the problem as one that jointly minimizes the power loss of the distribution network as well as the total transmit power in the HetNet. We also show that the resulting problem can be implemented in a distributed manner when the network is divided into multiple zones. Numerical results corroborate several advantageous features of the proposed joint design as compared with the existing HetNet operation method.
{"title":"Power-efficient operation of wireless heterogeneous networks using Smart Grids","authors":"Mingyi Hong, Hao Zhu","doi":"10.1109/SmartGridComm.2014.7007652","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007652","url":null,"abstract":"In this paper, we consider the power efficient operation of a wireless Heterogeneous Network (HetNet). Reducing the energy consumption is crucial for a successful HetNet deployment, as the increasing number of distributed base stations (BSs) leads to significant economical and environmental concerns. For traditional wireless networks, power efficiency is achieved by designing the transmit strategies in a way that minimal amount of transmit power is achieved within the BS. However, the rapid penetration of renewable energy sources as well as the recent trend of powering the HetNet using smart grids require a fresh look at the well-studied problem. Meanwhile, increasing demand for powering wireless networks also introduces additional operational concerns for the power grid. In this paper, we show how to jointly model these two systems for power efficient operation. We formulate the problem as one that jointly minimizes the power loss of the distribution network as well as the total transmit power in the HetNet. We also show that the resulting problem can be implemented in a distributed manner when the network is divided into multiple zones. Numerical results corroborate several advantageous features of the proposed joint design as compared with the existing HetNet operation method.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"16 1","pages":"236-241"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88037935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007760
Sangjoon Jung, David Formby, Carson Day, R. Beyah
The purpose of network traffic characterization is to explore unknown patterns in different types of network communications to help improve many aspects of the network. While many previous studies have explored the characterization of many different networks (e.g., university networks), the power grid network (and other SCADA networks) characterization has not yet been studied. In this paper, we provide a characterization of the power grid network to answer questions like the following: i) how stable is the communication based on configurations?; ii) are there different observable traffic patterns in different vendor equipment?; iii) are there trends in the network traffic?; iv) can information be gathered from the traffic characterization to help secure the power grid network? To address these questions, we have collected power grid network traffic in a live substation for two months and conducted an empirical study to identify network traffic behaviors in the live substation. Our empirical study shows different behaviors between the devices and vendors when they communicate with each other.
{"title":"A first look at machine-to-machine power grid network traffic","authors":"Sangjoon Jung, David Formby, Carson Day, R. Beyah","doi":"10.1109/SmartGridComm.2014.7007760","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007760","url":null,"abstract":"The purpose of network traffic characterization is to explore unknown patterns in different types of network communications to help improve many aspects of the network. While many previous studies have explored the characterization of many different networks (e.g., university networks), the power grid network (and other SCADA networks) characterization has not yet been studied. In this paper, we provide a characterization of the power grid network to answer questions like the following: i) how stable is the communication based on configurations?; ii) are there different observable traffic patterns in different vendor equipment?; iii) are there trends in the network traffic?; iv) can information be gathered from the traffic characterization to help secure the power grid network? To address these questions, we have collected power grid network traffic in a live substation for two months and conducted an empirical study to identify network traffic behaviors in the live substation. Our empirical study shows different behaviors between the devices and vendors when they communicate with each other.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"53 1","pages":"884-889"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86582348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/SmartGridComm.2014.7007620
J. Mohammadi, G. Hug, S. Kar
In a grid with highly distributed resources, an effective distributed algorithm for solving Optimal Power Flow (OPF) will result in efficient resource allocation across the system. This paper investigates the impact of communication on the performance of a fully distributed DC OPF algorithm, which solves the first order optimality conditions through an iterative process. In this distributed algorithm, at each iteration, every bus exchanges information with its physically connected neighboring buses and updates the local variables by evaluating a simple function. This paper suggests that sharing additional information between buses without physical connections across the system can speed up the convergence of the algorithm. A key aspect is the constrained selection of these additional communication links and the effective integration of this information in the update of the local variables which is the focus of this paper. A proof of concept is given using the IEEE-118 bus test system as a test case.
{"title":"Role of communication on the convergence rate of fully distributed DC optimal power flow","authors":"J. Mohammadi, G. Hug, S. Kar","doi":"10.1109/SmartGridComm.2014.7007620","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2014.7007620","url":null,"abstract":"In a grid with highly distributed resources, an effective distributed algorithm for solving Optimal Power Flow (OPF) will result in efficient resource allocation across the system. This paper investigates the impact of communication on the performance of a fully distributed DC OPF algorithm, which solves the first order optimality conditions through an iterative process. In this distributed algorithm, at each iteration, every bus exchanges information with its physically connected neighboring buses and updates the local variables by evaluating a simple function. This paper suggests that sharing additional information between buses without physical connections across the system can speed up the convergence of the algorithm. A key aspect is the constrained selection of these additional communication links and the effective integration of this information in the update of the local variables which is the focus of this paper. A proof of concept is given using the IEEE-118 bus test system as a test case.","PeriodicalId":6499,"journal":{"name":"2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"525 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84173455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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