Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9720
Title: Efficiency ranking-based evolutionary algorithm for power system planning and operation
Authors: Niu, M
Xu, Z 
Keywords: Data envelopment analysis
differential evolutionary
evolutionary algorithm
reactive power dispatch
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on power systems, 2014, v. 29, no. 3, 6680788, p. 1437-1438 How to cite?
Journal: IEEE transactions on power systems 
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.
URI: http://hdl.handle.net/10397/9720
ISSN: 0885-8950
EISSN: 1558-0679
DOI: 10.1109/TPWRS.2013.2292435
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