Quantum Evolutionary Membrane Algorithm and Its Application for Economic Dispatch in Power System with Wind Farms
Wind is a clean, renewable and reliable energy source and analysis of the economics of wind farms in terms of the cost/MWh energy provided is a primer topic in electricity economics. This paper presents a novel evolutionary algorithm named as quantum evolutionary membrane algorithm, which combines the concept and theory of quantum-inspired evolutionary algorithm and membrane computation, to solve the economic dispatch problem in power system with on land and offshore wind farms. The case derived from real data is used for simulation tests. Another conventional evolutionary algorithm is also used to solve the same problem for comparison. The experimental results show that the proposed algorithm is quick and accurate to obtain the optimal solution which is the minimum cost for electricity supplied by wind farm system.
membrane computation economic dispatch on land wind farm offshore wind farm quantum-inspired evolutionary algorithm
Wenjin Luo Li Zhang Manuel Alcazar-Ortega Alexander Domijan
Electrical engineering department,University at Buffalo,NY,USA School of Electrical and Information Engineering,Xihua Universtiy,Chengdu,Sichuan,China
国际会议
成都
英文
134-146
2013-11-04（万方平台首次上网日期，不代表论文的发表时间）