Study of Available Transfer Capability Based on Real-coded Mind Evolution Algorithm

摘要：

This paper indepth study the related issues of Available Transfer Capability (ATC). Real-coded Mind Evolution Algorithm (RMEA) model is constructed which is fit for the characteristics of ATC. It improves the accuracy and effectiveness of the results of ATC. Real-coded method is used to improve the computational efficiency of the algorithm and avoid the mapping error caused by binary code. The handling of inequality constraints uses the method of nonstationary multi-stage assignment penalty function. IEEE-30 bus system is used in simulation calculation. Comparing with results gained by Benders decomposition and improved Particle Swarm Optimization (IPSO), the results prove the rationality and validity of this proposed algorithm.

关键词： electricity market available transfer capability real-coded mind evolution algorithm non-stationary multi-stage assignment penalty function component

作者: Li Guoqing Dai Lili Sun Yan Zhang Jian

作者单位: Northeast Dianli University, Jilin, 132012, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2797-2801

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）