Fully Distributed Social Welfare Optimization With Line Flow Constraint Consideration

This paper proposes a fully distributed social welfare optimization solution that solves the economic dispatch and demand response problems in an integrated way. Compared with sequentially implementing these two operations one after another, the integrated solution can efficiently maximize the benef...

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Published in:	IEEE transactions on industrial informatics Vol. 11; no. 6; pp. 1532 - 1541
Main Authors:	Ma, Ye, Zhang, Wei, Liu, Wenxin, Yang, Qinmin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.12.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adjustment Algorithm design and analysis Buses Communication networks Consensus Controllers Convergence Cost engineering Customers distributed gradient algorithm Dynamical systems Dynamics Economics Generators Informatics line flow constraints Optimization Simulation social welfare optimization (SWO) line flow constraints distributed gradient algorithm social welfare optimization (SWO) Consensus
ISSN:	1551-3203, 1941-0050
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Abstract	This paper proposes a fully distributed social welfare optimization solution that solves the economic dispatch and demand response problems in an integrated way. Compared with sequentially implementing these two operations one after another, the integrated solution can efficiently maximize the benefits of customers and minimize the generation cost of generators simultaneously. By adjusting both generations and dispatchable loads, line flow constraints and generation bounds can be satisfied easier. The proposed solution has two layers of operations for consensus-based information discovery and gradient-based generation or demand adjustment, respectively. It is fully distributed in the sense that there is no need for a specialized/central controller to coordinate the operations of the autonomous local controllers (agents). Compared with centralized solutions, the multiagent system-based distributed solution is more reliable against single-point failures and can better accommodate customer participation. The proposed solution has been tested with a 5-bus system and the IEEE 30-bus system under light- and heavy-load conditions. Both static optimization and dynamic simulation results are provided to demonstrate the performance of the proposed solution.
AbstractList	This paper proposes a fully distributed social welfare optimization solution that solves the economic dispatch and demand response problems in an integrated way. Compared with sequentially implementing these two operations one after another, the integrated solution can efficiently maximize the benefits of customers and minimize the generation cost of generators simultaneously. By adjusting both generations and dispatchable loads, line flow constraints and generation bounds can be satisfied easier. The proposed solution has two layers of operations for consensus-based information discovery and gradient-based generation or demand adjustment, respectively. It is fully distributed in the sense that there is no need for a specialized/central controller to coordinate the operations of the autonomous local controllers (agents). Compared with centralized solutions, the multiagent system-based distributed solution is more reliable against single-point failures and can better accommodate customer participation. The proposed solution has been tested with a 5-bus system and the IEEE 30-bus system under light- and heavy-load conditions. Both static optimization and dynamic simulation results are provided to demonstrate the performance of the proposed solution.
Author	Wei Zhang Qinmin Yang Wenxin Liu Ye Ma
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Cites_doi	10.1109/TSG.2012.2234149 10.1109/TII.2015.2414719 10.1109/TSG.2010.2078843 10.1109/IPDPS.2012.112 10.1109/TII.2011.2158841 10.1002/9780470058411 10.1109/TII.2015.2426419 10.1109/TPWRS.2003.814889 10.1109/TIE.2012.2193857 10.1109/TSTE.2012.2199526 10.1016/j.sysconle.2004.02.022 10.1109/TSG.2013.2287494 10.1109/59.99376 10.1109/TSG.2012.2185075 10.1109/TII.2013.2267392 10.1109/APEC.2002.989281 10.1109/59.207328 10.1109/JPROC.2006.887293 10.1109/TSG.2012.2203341 10.1109/PES.2011.6039082 10.1109/IECON.2011.6119743 10.1017/CBO9780511804441 10.1109/SMARTGRID.2010.5622076 10.1109/TPWRS.2003.814853 10.1109/TII.2015.2408455 10.1109/TSG.2010.2099675 10.1109/TII.2013.2287807 10.1109/TPWRS.2011.2120631 10.1049/iet-gtd:20060130
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References	ref35 ref13 ref12 ref15 ref14 ref31 ref30 ref11 ref32 alsac (ref34) 1973; 93 ref10 ref1 ref17 ref19 ref18 zhang (ref16) 2014; 4 wood (ref6) 2012; 7 ref24 ref23 ref26 ref25 ref20 ref22 ref21 tinney (ref2) 1968; 87 ref27 ref29 bertsekas (ref28) 1999 ref8 ref7 ref9 ref4 ref3 ref5 sun (ref33) 0
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SubjectTerms	Adjustment Algorithm design and analysis Buses Communication networks Consensus Controllers Convergence Cost engineering Customers distributed gradient algorithm Dynamical systems Dynamics Economics Generators Informatics line flow constraints Optimization Simulation social welfare optimization (SWO)
Title	Fully Distributed Social Welfare Optimization With Line Flow Constraint Consideration
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