A Cross-Entropy-Based Hybrid Membrane Computing Method for Power System Unit Commitment Problems

Min Xie, Yuxin Du, Peijun Cheng, Wei Wei and Mingbo Liu
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Min Xie: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Yuxin Du: State Grid Ganzhou Electric Power Supply Company, Ganzhou 341000, China
Peijun Cheng: Guangzhou Power Supply Bureau Co., Ltd., Guangzhou 510620, China
Wei Wei: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Mingbo Liu: School of Electric Power, South China University of Technology, Guangzhou 510640, China

Energies, 2019, vol. 12, issue 3, 1-18

Abstract: The cross-entropy based hybrid membrane computing method is proposed in this paper to solve the power system unit commitment problem. The traditional unit commitment problem can be usually decomposed into a bi-level optimization problem including unit start-stop scheduling problem and dynamic economic dispatch problem. In this paper, the genetic algorithm-based P system is proposed to schedule the unit start-stop plan, and the biomimetic membrane computing method combined with the cross-entropy is proposed to solve the dynamic economic dispatch problem with a unit start-stop plan given. The simulation results of 10–100 unit systems for 24 h day-ahead dispatching show that the unit commitment problem can be solved effectively by the proposed cross-entropy based hybrid membrane computing method and obtain a good and stable solution.

Keywords: power system unit commitment; hybrid membrane computing; cross-entropy; the genetic algorithm based P system; the biomimetic membrane computing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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