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Article: An Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems

TitleAn Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems
Authors
KeywordsDistribution network management
Distributed algorithms
Voltage support
Optimal power flow
Issue Date2015
Citation
IEEE Transactions on Power Systems, 2015, v. 30 n. 4, p. 1714-1726 How to Cite?
AbstractThis paper addresses the problem of voltage regulation in power distribution networks with deep-penetration of distributed energy resources, e.g., renewable-based generation, and storage-capable loads such as plug-in hybrid electric vehicles. We cast the problem as an optimization program, where the objective is to minimize the losses in the network subject to constraints on bus voltage magnitudes, limits on active and reactive power injections, transmission line thermal limits and losses. We provide sufficient conditions under which the optimization problem can be solved via its convex relaxation. Using data from existing networks, we show that these sufficient conditions are expected to be satisfied by most networks. We also provide an efficient distributed algorithm to solve the problem. The algorithm adheres to a communication topology described by a graph that is the same as the graph that describes the electrical network topology. We illustrate the operation of the algorithm, including its robustness against communication link failures, through several case studies involving 5-, 34-, and 123-bus power distribution systems.
Persistent Identifierhttp://hdl.handle.net/10722/219761
ISSN
2015 Impact Factor: 3.342
2015 SCImago Journal Rankings: 4.126

 

DC FieldValueLanguage
dc.contributor.authorZhang, Baosen-
dc.contributor.authorLam, Albert Y S-
dc.contributor.authorDominguez-Garcia, Alejandro D.-
dc.contributor.authorTse, David-
dc.date.accessioned2015-09-23T02:57:54Z-
dc.date.available2015-09-23T02:57:54Z-
dc.date.issued2015-
dc.identifier.citationIEEE Transactions on Power Systems, 2015, v. 30 n. 4, p. 1714-1726-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/219761-
dc.description.abstractThis paper addresses the problem of voltage regulation in power distribution networks with deep-penetration of distributed energy resources, e.g., renewable-based generation, and storage-capable loads such as plug-in hybrid electric vehicles. We cast the problem as an optimization program, where the objective is to minimize the losses in the network subject to constraints on bus voltage magnitudes, limits on active and reactive power injections, transmission line thermal limits and losses. We provide sufficient conditions under which the optimization problem can be solved via its convex relaxation. Using data from existing networks, we show that these sufficient conditions are expected to be satisfied by most networks. We also provide an efficient distributed algorithm to solve the problem. The algorithm adheres to a communication topology described by a graph that is the same as the graph that describes the electrical network topology. We illustrate the operation of the algorithm, including its robustness against communication link failures, through several case studies involving 5-, 34-, and 123-bus power distribution systems.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Power Systems-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectDistribution network management-
dc.subjectDistributed algorithms-
dc.subjectVoltage support-
dc.subjectOptimal power flow-
dc.titleAn Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TPWRS.2014.2347281-
dc.identifier.scopuseid_2-s2.0-84933037185-
dc.identifier.hkuros254214-

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