An Improved Binary Particle Swarm Optimization for Unit Commitment Problem

摘要：

This paper proposed a new approach combining priority list (PL) with binary particle swarm optimization (BPSO) to solve unit commitment (UC) problem.At first,PL method was used to determine the initial UC,and then the optimization window was determined according to the results,at last the BPSO method was adopted to solve the UC problem within the window.The window is to reduce the computing time and improve the optimization accuracy.In each iteration,the adjustment heuristic strategy was applied to revise the particle to meet the generators constraints.This paper adopted Lambdaiteration method combining with dichotomy algorithm to solve the economic dispatch (ED) problem.The simulation results showed that the proposed method is indeed capable of obtaining higher quality solutions.

关键词： unit commitment:priority list:binary particle swarm optimization:heuristic adjustment

作者: Peng Li Peng Xi Liqiang Fei Jiang Qian2 Jianjie Chen

作者单位: School of Electrical and Electronic Engineering,North China Electric Power University Baoding 071003 School of Electrical and Electronic Engineering,North China Electric Power University Baoding 071003 Shanxi Yuncheng Electric Power Supply Company Yuncheng 044000,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 1306-1310

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）