Dynamic Load Economic Dispatch in Electricity Market Using Improved Particle Swarm Optimization Algorithm
An improved strategy particle swarm optimization algorithm is proposed to solve the dynamic load economic dispatch problems in power systems. Many constraints such as ramp rate limits and prohibited zones are taken into account, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new improved strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The accuracy and speed of the algorithm are improved for the particles will rarely search in the infeasible solutions area, and the results also show that the new algorithm has fast speed, high accuracy and good convergence.
dynamic load economic dispatch spinning reserve particles swarm optimization algorithm period optimization strategy
Xin MA Yong LIU
School of Management and Economic North China Univ. of Water Conservancy & Electric Power Zhengzhou, School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Minhang, Sh
国际会议
长沙
英文
1335-1338
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）