A New Algorithm Based on Non-dominated Sorting Differential Evolution for Multi-objective Optimal Load Dispatch
A multi-objective optimal load dispatch model is proposed for minimizing both total purchase cost and emissions considering the difference of power purchase price and emissions between each power plant. And a new NSDE algorithm, which is organic integration of Pareto non-dominant sorting and differential evolution algorithm and improves the crowding distance mechanism and mutation strategic in evolution effectively, is designed for the model. Simulation on a power system with 6 generating unit shows that the algorithm can overcome disadvantages in conventional multi-objective algorithms with apparent improvement on search speed, integrality of Pareto front, distribution of non-dominant solutions and convergence and can achieve more accurate and diversiform Pareto non-dominant optimal set.
Multi-objective optimization Load dispatch Nondominated sorting Differential Evolution
Chunhua Peng Huijuan Sun Jianfeng Guo Haishan Li
Department of Electrical & Electronics Engineering East China Jiaotong University Nanchang City, Jia Jiangxi Province Electric Power Research Institute Nanchang City, Jiangxi Province, China
国际会议
北京
英文
565-569
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）