Efficiency Ranking-Based Evolutionary Algorithm for Power System Planning and Operation

Author

Ming Niu ; Zhao Xu

Author_Institution

Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China

Volume

29

Issue

3

fYear

2014

fDate

May-14

Firstpage

1437

Lastpage

1438

Abstract

This letter proposes an efficiency ranking-based evolutionary algorithm (EREA) to directly gauge the most efficient decision-making units (DMUs) for power system planning and operation. An efficiency-oriented fitness assignment strategy based on data envelopment analysis (DEA) is used to guide the iteration process of evolutionary algorithm (EA). Case studies show that the most efficient DMUs for reactive power dispatch can be successfully found by the EREA, indicating the effectiveness of the proposed EREA algorithm.

Keywords

data envelopment analysis; decision making; evolutionary computation; iterative methods; power generation dispatch; power system planning; reactive power; DEA; DMU; EA; EREA algorithm; data envelopment analysis; decision-making units; efficiency-oriented fitness assignment strategy; iteration process; power system operation; power system planning; ranking-based evolutionary algorithm; reactive power dispatch; Data envelopment analysis; Decision making; Evolutionary computation; Optical fibers; Power system planning; Reactive power; Vectors; Data envelopment analysis; differential evolutionary; evolutionary algorithm; reactive power dispatch;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2013.2292435

Filename

6680788