Distributed Quadratic Programming Problems of Power Systems With Continuous and Discrete Variables

Within the framework of a successive quadratic programming method for problems involving discrete variables on power systems, this work formulates the distributed optimal power flow with continuous and discrete variables problems (Distributed OPFCDP) and distributed state estimation with continuous...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 28; no. 1; pp. 472 - 481
Main Authors: Lin, Shieh-Shing, Horng, Shih-Cheng, Lin, Ch'i-Hsin
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:Within the framework of a successive quadratic programming method for problems involving discrete variables on power systems, this work formulates the distributed optimal power flow with continuous and discrete variables problems (Distributed OPFCDP) and distributed state estimation with continuous and discrete variables problems (Distributed SECDP) as categories of the distributed quadratic programming with continuous and discrete variables problems (Distributed QCDP). A three-level algorithm combined with the ordinal optimization (OO) theory and the distributed asynchronous dual-type (DADT) method is also developed to solve the Distributed QCDP of power systems. Additionally, the efficiency of the proposed three-level algorithm is demonstrated, along with a comparison made with four competing methods (i.e., Tabu search, genetic algorithm, ant colony system, and simulated annealing) for solving the Distributed SECDP and Distributed OPFCDP on the IEEE 118-bus and 244-bus systems in a deregulated environment. Test results further demonstrate that the proposed algorithm is highly promising for the Distributed QCDP.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2012.2205592