标题:The Application of the Improved Particle Swarm Optimization on Dynamic Economic Dispatch of Power System with Wind Farms
作者:Liu, Weidong; Luan, Zhaowen; Yang, Yang; Gan, Ruiyan; Zhao, Hui
作者机构:[Liu, Weidong; Luan, Zhaowen; Yang, Yang; Gan, Ruiyan; Zhao, Hui] Shandong Univ, Sch Elect Engn, Jinan 250061, Shandong, Peoples R China.
会议名称:IEEE Region 10 Conference
会议日期:NOV 01-04, 2015
来源:TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE
出版年:2015
卷:2016-January
DOI:10.1109/TENCON.2015.7372978
关键词:Wind farms; reserve capacity; dynamic economic dispatch (DED);; simplified gradient method; Particle Swarm Optimization algorithm (PSO)
摘要:Wind power technology has gradually matured as the development of new energy technology. The introduction of wind power brings significant impacts to the dynamic economic dispatch of power system. The goal of this study is to address the randomness, volatility and intermittent of wind power. To achieve this goal, a dynamic economic dispatch model compatible with the wind farm power system is firstly built. Based on the model, an algorithm is proposed to solve the problem. Firstly, we calculate the spinning reserve needed based on the probability distribution of wind power forecast error. The unit commitment is checked based on the priority list in this step. Secondly, we optimize results under various constraints using simplified gradient method combined with the improved Particle Swarm Optimization (PSO) algorithm. A preliminary solution from certain iterations using simplified gradient method is taken as one of the initial particle swarm. Further, we introduce the simulated annealing (SA) algorithm to avoid the local optimum solution and the premature convergence.
收录类别:CPCI-S;EI
资源类型:会议论文
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