MULTI-OBJECTIVE QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION FOR ENVIRONMENTAL/ECONOMIC DISPATCH PROBLEM
This paper presents a non-dominated sorting quantumbehaved particle swarm optimization (NSQPSO) to solve the Environmental/economic dispatch (EED) problem. The EED problem is formulated as a nonlinear constrained multi-objective optimization problem with two competing and non-commensurable objectives. The NSQPSO uses a non-dominated sorting and ranking procedure with crowding distance to obtain a well distributed Pareto-optimal set. The proposed method is validated on the standard IEEE 30 bus system with 6 generators. The simulation results compared with several other methods show that the NSQPSO is able to produce a well distributed Pareto-optimal solutions for EED problem.
Environmental/economic dispatch quantum-behaved particle swarm optimization non-dominated sorting
Q.Niu X.H.Wang Z.Zhou
Shanghai Key Laboratory of Power Station Automation Technology, School of MechatronicEngineering and Automation, Shanghai University, Shanghai, 200072, China
国际会议
2012 International Conference on System Simulation(2012年国际系统仿真学术会议)
上海
英文
505-509
2012-04-06（万方平台首次上网日期，不代表论文的发表时间）