Economic Scheduling Based on Multi-objective Optimization considering Wind output

摘要：

As an important renewable energy form,wind power obtains rapid development recently.A more accurate method of wind power prediction and a new multi-objective economic scheduling of power system are required.In this paper,in order to improve the low accuracy of wind power prediction,the EMDARMA model is used to predict the wind farm output,then the multi-objective economic scheduling model considering wind output is proposed,and the Particle Swarm Optimization Algorithm is used to optimize the above model.The programming of prediction and optimization is development by MATLAB 2009b,and IEEE standard example is adopted to test the validity of the model and the effectiveness of the algorithm.

关键词： EMD:ARMA:prediction:Multi–Objective Optimization:Economic Scheduling

作者: Yajing Gao Peng Chang

作者单位: Department of Electrical Engineering North China Electric Power University Baoding,China;Department Department of Electrical Engineering North China Electric Power University,NCEPU Baoding,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: 1401-1406

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）