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

被引：6
|
作者：
Niu, Ming [1 ]
Xu, Zhao [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2014年 / 29卷 / 03期
关键词：
Data envelopment analysis; differential evolutionary; evolutionary algorithm; reactive power dispatch;
D O I：
10.1109/TPWRS.2013.2292435
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1437 / 1438
页数：2
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