Consensus Based Approach for Economic Dispatch Problem in a Smart Grid

Economic dispatch problem (EDP) is an important class of optimization problems in the smart grid, which aims at minimizing the total cost when generating certain amount of power. In this work, a novel consensus based algorithm is proposed to solve EDP in a distributed fashion. The quadratic convex c...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 28; H. 4; S. 4416 - 4426
Hauptverfasser:	Yang, Shiping, Tan, Sicong, Xu, Jian-Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2013
Schlagworte:	Algorithm design and analysis Consensus Cost function distributed algorithm Distributed algorithms Eigenvalues and eigenfunctions Generators multi-agent systems optimal dispatch Power generation Smart grids
ISSN:	0885-8950, 1558-0679
Online-Zugang:	Volltext
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Abstract	Economic dispatch problem (EDP) is an important class of optimization problems in the smart grid, which aims at minimizing the total cost when generating certain amount of power. In this work, a novel consensus based algorithm is proposed to solve EDP in a distributed fashion. The quadratic convex cost functions are assumed in the problem formulation, and the strongly connected communication topology is sufficient for the information exchange. Unlike centralized approaches, the proposed algorithm enables generators to collectively learn the mismatch between demand and total amount of power generation. The estimated mismatch is then used as a feedback mechanism to adjust current power generation by each generator. With a tactical initial setup, eventually, all generators can automatically minimize the total cost in a collective sense.
AbstractList	Economic dispatch problem (EDP) is an important class of optimization problems in the smart grid, which aims at minimizing the total cost when generating certain amount of power. In this work, a novel consensus based algorithm is proposed to solve EDP in a distributed fashion. The quadratic convex cost functions are assumed in the problem formulation, and the strongly connected communication topology is sufficient for the information exchange. Unlike centralized approaches, the proposed algorithm enables generators to collectively learn the mismatch between demand and total amount of power generation. The estimated mismatch is then used as a feedback mechanism to adjust current power generation by each generator. With a tactical initial setup, eventually, all generators can automatically minimize the total cost in a collective sense.
Author	Shiping Yang Sicong Tan Jian-Xin Xu
Author_xml	– sequence: 1 givenname: Shiping surname: Yang fullname: Yang, Shiping – sequence: 2 givenname: Sicong surname: Tan fullname: Tan, Sicong – sequence: 3 givenname: Jian-Xin surname: Xu fullname: Xu, Jian-Xin
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Cites_doi	10.1109/PES.2011.6039422 10.1109/MCS.2007.338264 10.1109/TPWRS.2005.857939 10.1109/TPWRS.2009.2030293 10.1109/TAC.2003.812781 10.1109/59.667345 10.1109/TAC.2004.834113 10.1109/39.866874 10.1109/TPWRS.2012.2188912 10.1109/CDC.2012.6426665 10.1109/TAC.2004.841888 10.1017/CBO9780511810817 10.1109/59.544642 10.1109/TPWRS.2008.926455 10.1007/978-3-662-09775-5
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Snippet	Economic dispatch problem (EDP) is an important class of optimization problems in the smart grid, which aims at minimizing the total cost when generating...
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SubjectTerms	Algorithm design and analysis Consensus Cost function distributed algorithm Distributed algorithms Eigenvalues and eigenfunctions Generators multi-agent systems optimal dispatch Power generation Smart grids
Title	Consensus Based Approach for Economic Dispatch Problem in a Smart Grid
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