Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687982
Fabien Sacuto, F. Labeau, B. Agba
The partitioned Markov chain is a sample noise model that can represent impulsive noise in power substation including the time-correlation between the samples. In order to use this model, algorithms are needed to detect and to estimate the impulses characteristics, such as the duration, the samples values and the occurrence times of the impulses. Unsupervised learning of these characteristics is very complex, we propose then to use the fuzzy C-means algorithm to analyze impulses from substation measurements and to configure the partitioned Markov chain model by instantiating the transition matrix and by estimating the parameters of the Gaussian distributions associated with the Markov states. After simulating sequences of samples with our model, we noticed that the distribution of the impulsive noise characteristics and the power spectrum of the impulses are satisfyingly close to the measurements. The fuzzy C-means algorithm is appropriate to estimate the parameters required by the partitioned Markov chain model and to reduce the complexity of the parameter estimation.
{"title":"Fuzzy C-means algorithm for parameter estimation of partitioned Markov chain impulsive noise model","authors":"Fabien Sacuto, F. Labeau, B. Agba","doi":"10.1109/SmartGridComm.2013.6687982","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687982","url":null,"abstract":"The partitioned Markov chain is a sample noise model that can represent impulsive noise in power substation including the time-correlation between the samples. In order to use this model, algorithms are needed to detect and to estimate the impulses characteristics, such as the duration, the samples values and the occurrence times of the impulses. Unsupervised learning of these characteristics is very complex, we propose then to use the fuzzy C-means algorithm to analyze impulses from substation measurements and to configure the partitioned Markov chain model by instantiating the transition matrix and by estimating the parameters of the Gaussian distributions associated with the Markov states. After simulating sequences of samples with our model, we noticed that the distribution of the impulsive noise characteristics and the power spectrum of the impulses are satisfyingly close to the measurements. The fuzzy C-means algorithm is appropriate to estimate the parameters required by the partitioned Markov chain model and to reduce the complexity of the parameter estimation.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967125","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688022
Yong Ding, M. A. Neumann, M. Budde, M. Beigl, P. Silva, Lin Zhang
We are facing a restructuring of the power industry towards a smart grid. The vision of the smart grid represents not only the creation of intelligent power supply networks to allow efficient and reliable use of energy resources, but also the redesign of the market structure coupled with it. In order to develop a smart grid-ready power market, the integration of the physical reality of the power grid into the economic market model has been set as the first requirement. To address this problem, we present a feedback control model to interconnect the physical grid and the economic market in a decoupled control loop. Our proposed control loop consists of two subsystems, namely an Optimal Power Flow (OPF)-based physical system and a Continuous Double Auction (CDA)-based economic system. A dynamic coefficient matrix generated by the Locational Marginal Pricing (LMP) algorithm is adopted for the market clearing mechanism to account for the real-time power flow and transmission constraints. Finally, we demonstrate some initial experiments for a feasibility test of the interaction between the proposed physical power system and economic power market.
{"title":"A control loop approach for integrating the future decentralized power markets and grids","authors":"Yong Ding, M. A. Neumann, M. Budde, M. Beigl, P. Silva, Lin Zhang","doi":"10.1109/SmartGridComm.2013.6688022","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688022","url":null,"abstract":"We are facing a restructuring of the power industry towards a smart grid. The vision of the smart grid represents not only the creation of intelligent power supply networks to allow efficient and reliable use of energy resources, but also the redesign of the market structure coupled with it. In order to develop a smart grid-ready power market, the integration of the physical reality of the power grid into the economic market model has been set as the first requirement. To address this problem, we present a feedback control model to interconnect the physical grid and the economic market in a decoupled control loop. Our proposed control loop consists of two subsystems, namely an Optimal Power Flow (OPF)-based physical system and a Continuous Double Auction (CDA)-based economic system. A dynamic coefficient matrix generated by the Locational Marginal Pricing (LMP) algorithm is adopted for the market clearing mechanism to account for the real-time power flow and transmission constraints. Finally, we demonstrate some initial experiments for a feasibility test of the interaction between the proposed physical power system and economic power market.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126357847","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688050
S. Sojoudi, J. Lavaei
This paper is concerned with the convexification of the optimal power flow (OPF) problem. We have previously shown that this highly nonconvex problem can be solved efficiently via a convex relaxation after two approximations: (i) adding a sufficient number of virtual phase shifters to the network topology, and (ii) relaxing the power balance equations to inequality constraints. The objective of the present paper is to first provide a better understanding of the implications of Approximation (i) and then remove Approximation (ii). To this end, we investigate the effect of virtual phase shifters on the feasible set of OPF by thoroughly examining a cyclic system. We then show that OPF can be convexified under only Approximation (i), provided some mild assumptions are satisfied. Although this paper mainly focuses on OPF, the results developed here can be applied to several OPF-based emerging optimization problems for future electrical grids.
{"title":"Convexification of optimal power flow problem by means of phase shifters","authors":"S. Sojoudi, J. Lavaei","doi":"10.1109/SmartGridComm.2013.6688050","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688050","url":null,"abstract":"This paper is concerned with the convexification of the optimal power flow (OPF) problem. We have previously shown that this highly nonconvex problem can be solved efficiently via a convex relaxation after two approximations: (i) adding a sufficient number of virtual phase shifters to the network topology, and (ii) relaxing the power balance equations to inequality constraints. The objective of the present paper is to first provide a better understanding of the implications of Approximation (i) and then remove Approximation (ii). To this end, we investigate the effect of virtual phase shifters on the feasible set of OPF by thoroughly examining a cyclic system. We then show that OPF can be convexified under only Approximation (i), provided some mild assumptions are satisfied. Although this paper mainly focuses on OPF, the results developed here can be applied to several OPF-based emerging optimization problems for future electrical grids.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131453256","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687964
Yuemin Ding, S. Hong
Demand response energy management improves the reliability of electrical grids and reduces electricity cost of consumers by shifting part of the demand from peak to off-peak demand periods. On the demand side, industrial facilities consume huge amounts of electricity, highlighting the urgent need to implement demand response energy management. In this study, we propose a general model of demand response energy management systems for industrial facilities. The model consists of model elements, model architecture, and approaches to industrial demand response. The proposed model provides a straightforward means of designing and analyzing demand response systems in industrial facilities and assists in developing standards for such systems. We also present an example of this model applied to a steel manufacturing facility.
{"title":"A model of demand response energy management system in industrial facilities","authors":"Yuemin Ding, S. Hong","doi":"10.1109/SmartGridComm.2013.6687964","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687964","url":null,"abstract":"Demand response energy management improves the reliability of electrical grids and reduces electricity cost of consumers by shifting part of the demand from peak to off-peak demand periods. On the demand side, industrial facilities consume huge amounts of electricity, highlighting the urgent need to implement demand response energy management. In this study, we propose a general model of demand response energy management systems for industrial facilities. The model consists of model elements, model architecture, and approaches to industrial demand response. The proposed model provides a straightforward means of designing and analyzing demand response systems in industrial facilities and assists in developing standards for such systems. We also present an example of this model applied to a steel manufacturing facility.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"95 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127534266","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688011
C. L. Prete, B. Hobbs
This paper considers the potential development of a microgrid in a market served by a vertically integrated electric utility, regulated based on cost of service. The interaction among the utility, the microgrid developer and consumers potentially representing the microgrid's load is assessed in the framework of cooperative game theory, assuming exchangeable utility. We present scenarios based on different underlying assumptions, showing when microgrid development might be beneficial and how it would affect market prices, costs and benefits to the various parties in the network. We also discuss possible regulatory tools that could be used to align private objectives with social welfare maximization.
{"title":"Modeling economic interactions between microgrids and electric utilities: A regulator's perspective","authors":"C. L. Prete, B. Hobbs","doi":"10.1109/SmartGridComm.2013.6688011","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688011","url":null,"abstract":"This paper considers the potential development of a microgrid in a market served by a vertically integrated electric utility, regulated based on cost of service. The interaction among the utility, the microgrid developer and consumers potentially representing the microgrid's load is assessed in the framework of cooperative game theory, assuming exchangeable utility. We present scenarios based on different underlying assumptions, showing when microgrid development might be beneficial and how it would affect market prices, costs and benefits to the various parties in the network. We also discuss possible regulatory tools that could be used to align private objectives with social welfare maximization.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134143834","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688018
Hamed Mohsenian Rad, A. Davoudi
Direct current (DC) power systems have recently been proposed as a promising technology for distribution networks and microgrids. By eliminating unnecessary conversion stages, DC distribution systems can enable seamless integration of natively DC devices such as photovoltaic cells and batteries. Moreover, using DC technologies can overcome several disadvantages of alternating current (AC) distribution systems, such as synchronization requirements, reactive power compensation, and harmonics. Therefore, in this paper, we take the first steps towards designing demand response programs for DC distribution networks. We seek to adjust the internal parameters of various power electronics loads to assure reliable and efficient operation of the DC distribution system. In this regard, we first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation results are presented to assess the performance and to gain insights into the proposed demand-response paradigm.
{"title":"Optimal demand response in DC distribution networks","authors":"Hamed Mohsenian Rad, A. Davoudi","doi":"10.1109/SmartGridComm.2013.6688018","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688018","url":null,"abstract":"Direct current (DC) power systems have recently been proposed as a promising technology for distribution networks and microgrids. By eliminating unnecessary conversion stages, DC distribution systems can enable seamless integration of natively DC devices such as photovoltaic cells and batteries. Moreover, using DC technologies can overcome several disadvantages of alternating current (AC) distribution systems, such as synchronization requirements, reactive power compensation, and harmonics. Therefore, in this paper, we take the first steps towards designing demand response programs for DC distribution networks. We seek to adjust the internal parameters of various power electronics loads to assure reliable and efficient operation of the DC distribution system. In this regard, we first present an optimization-based foundation for demand response in DC distribution networks. Then, we devise a pricing mechanism to enforce optimal demand response in a distributed fashion. Simulation results are presented to assess the performance and to gain insights into the proposed demand-response paradigm.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129041433","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687996
O. Vukovic, G. Dán, R. Bobba
Power system operators are looking to adopt and migrate to cloud technologies and third-party cloud services for customer facing and enterprise IT applications. Security and reliability are major barriers for adopting cloud technologies and services for power system operational applications. In this work we focus on the use of cloud computing for Contingency Analysis and propose an approach to obfuscate information regarding power flows and the presence of a contingency violation while allowing the operator to analyze contingencies with the needed accuracy in the cloud. Our empirical evaluation shows, that the errors introduced into power flows due to the obfuscation approach are small, and that the RMS errors introduced grow linearly with the magnitude of obfuscation.
{"title":"Confidentiality-preserving obfuscation for cloud-based power system contingency analysis","authors":"O. Vukovic, G. Dán, R. Bobba","doi":"10.1109/SmartGridComm.2013.6687996","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687996","url":null,"abstract":"Power system operators are looking to adopt and migrate to cloud technologies and third-party cloud services for customer facing and enterprise IT applications. Security and reliability are major barriers for adopting cloud technologies and services for power system operational applications. In this work we focus on the use of cloud computing for Contingency Analysis and propose an approach to obfuscate information regarding power flows and the presence of a contingency violation while allowing the operator to analyze contingencies with the needed accuracy in the cloud. Our empirical evaluation shows, that the errors introduced into power flows due to the obfuscation approach are small, and that the RMS errors introduced grow linearly with the magnitude of obfuscation.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097301","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688005
Muhammad Salman Malik, R. Berthier, R. Bobba, R. Campbell, W. Sanders
Vulnerabilities in key communication protocols that drive the daily operations of the power grid may lead to exploits that could potentially disrupt its safety-critical operation and may result in loss of power, consequent financial losses, and disruption of crucial power-dependent services. This paper focuses on the Inter Control Center Communications Protocol, (ICCP), which is the protocol used among control centers for data exchange and control. We discuss use of UPPAAL in formal modeling of portions of ICCP. Specifically, we present an iterative process and framework for the design and formal verification of tailored checking mechanisms that protect resource-exhaustion vulnerabilities in the protocol standard from attacks and exploits. We discuss insights we gained and lessons we learned when modeling the protocol functionalities and running the UPPAAL model checker to prove critical security and safety properties, and we discuss the overall success of this approach.
{"title":"Formal design of communication checkers for ICCP using UPPAAL","authors":"Muhammad Salman Malik, R. Berthier, R. Bobba, R. Campbell, W. Sanders","doi":"10.1109/SmartGridComm.2013.6688005","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688005","url":null,"abstract":"Vulnerabilities in key communication protocols that drive the daily operations of the power grid may lead to exploits that could potentially disrupt its safety-critical operation and may result in loss of power, consequent financial losses, and disruption of crucial power-dependent services. This paper focuses on the Inter Control Center Communications Protocol, (ICCP), which is the protocol used among control centers for data exchange and control. We discuss use of UPPAAL in formal modeling of portions of ICCP. Specifically, we present an iterative process and framework for the design and formal verification of tailored checking mechanisms that protect resource-exhaustion vulnerabilities in the protocol standard from attacks and exploits. We discuss insights we gained and lessons we learned when modeling the protocol functionalities and running the UPPAAL model checker to prove critical security and safety properties, and we discuss the overall success of this approach.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125599006","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687951
Shivaram Subramanian, Soumyadip Ghosh, J. Hosking, R. Natarajan, Xiaoxuan Zhang
We present a day-ahead price-optimization based approach for an electric utility to proactively manage the intra-day residential electricity load profile, using dynamic-pricing incentives within a smart grid framework. A novel aspect of our approach is the ability to predict the customer response to price incentives that are designed to induce shifts in the electricity usage from the peak to the off-peak time periods of the daily residential load cycle. A Multinomial Logit (MNL) consumer-choice model is used for estimating the magnitudes of these intra-day hourly loads. The resulting nonlinear optimization problem for the specified profit and capacity-utilization objectives is solved using a series of transformations, which include the reformulation-linearization technique (RLT), to obtain a Mixed-Integer Programming (MIP) model. Using a piecewise-linear cost structure for satisfying electricity demand, we subsequently derive a set of valid inequalities to effectively tighten the underlying relaxation of this MIP. The proposed optimization methodology can also incorporate various regulatory and customer bill-protection constraints. Our model calibration and computational analysis using a real-world data set indicates that the proposed predictive-control methodology can be incorporated into a practical decision support tool to manage the time-of-day electricity demand in order to achieve the desired objectives.
{"title":"Dynamic price optimization models for managing time-of-day electricity usage","authors":"Shivaram Subramanian, Soumyadip Ghosh, J. Hosking, R. Natarajan, Xiaoxuan Zhang","doi":"10.1109/SmartGridComm.2013.6687951","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687951","url":null,"abstract":"We present a day-ahead price-optimization based approach for an electric utility to proactively manage the intra-day residential electricity load profile, using dynamic-pricing incentives within a smart grid framework. A novel aspect of our approach is the ability to predict the customer response to price incentives that are designed to induce shifts in the electricity usage from the peak to the off-peak time periods of the daily residential load cycle. A Multinomial Logit (MNL) consumer-choice model is used for estimating the magnitudes of these intra-day hourly loads. The resulting nonlinear optimization problem for the specified profit and capacity-utilization objectives is solved using a series of transformations, which include the reformulation-linearization technique (RLT), to obtain a Mixed-Integer Programming (MIP) model. Using a piecewise-linear cost structure for satisfying electricity demand, we subsequently derive a set of valid inequalities to effectively tighten the underlying relaxation of this MIP. The proposed optimization methodology can also incorporate various regulatory and customer bill-protection constraints. Our model calibration and computational analysis using a real-world data set indicates that the proposed predictive-control methodology can be incorporated into a practical decision support tool to manage the time-of-day electricity demand in order to achieve the desired objectives.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122624283","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687937
Mashud Hyder, K. Mahata
The use of conventional power flow measurements along with the phasor measurements from newly developed PMUs help us to achieve a cost effective solution for fault localization in power transmission network. However, the development of a methodology for the joint optimal placement of PMUs and power flow units in a transmission network is challenging. To this aim, we have proposed an optimization problem which can be solved using integer linear programming (ILP) implementation. We found that under mild assumptions we can develop a linear mathematical equation for fault localization by using the data from measurement units. The performance is evaluated by applying it for fault detection in IEEE bus systems.
{"title":"On measurement unit placement for smart electrical grid fault localization","authors":"Mashud Hyder, K. Mahata","doi":"10.1109/SmartGridComm.2013.6687937","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687937","url":null,"abstract":"The use of conventional power flow measurements along with the phasor measurements from newly developed PMUs help us to achieve a cost effective solution for fault localization in power transmission network. However, the development of a methodology for the joint optimal placement of PMUs and power flow units in a transmission network is challenging. To this aim, we have proposed an optimization problem which can be solved using integer linear programming (ILP) implementation. We found that under mild assumptions we can develop a linear mathematical equation for fault localization by using the data from measurement units. The performance is evaluated by applying it for fault detection in IEEE bus systems.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114121238","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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