Title :
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
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2292435
