电力系统保护与控制2016，Vol.44Issue(10)：44-48,5.DOI:10.7667/PSPC151119
一种改进型粒子群优化算法在电力系统经济负荷分配中的应用
Application of improved particle swarm optimization algorithm to power system economic load dispatch
吴辰斌 1李海明 1刘栋 2吴正阳 1武蕾1
作者信息
- 1. 上海电力学院，上海 200090
- 2. 许继集团有限公司，河南 许昌 461000
- 折叠
摘要
Abstract
The efficient population utilization strategy for particle swarm optimization (EPUSPSO) is proposed to solve the economic load dispatch (ELD) problem of power system with different units. This algorithm improves the accuracy and the speed of its convergence by changing the number of particles effectively and improving the velocity and position equation. To verify the effectiveness of the algorithm, this algorithm is tested in the ELD case of power system with different units, and the obtained results are compared with those obtained from other algorithms. The compared results show that the algorithm can find the optimal solution effectively and accurately, avoid falling into the local optimal problem; meanwhile, faster speed can be ensured in the case.关键词
经济负荷分配/粒子群优化算法/有效群体利用策略/电力系统/阀点效应Key words
economic load dispatch/particle swarm optimization/efficient population utilization strategy/power system/valve point effect引用本文复制引用
吴辰斌,李海明,刘栋,吴正阳,武蕾..一种改进型粒子群优化算法在电力系统经济负荷分配中的应用[J].电力系统保护与控制,2016,44(10):44-48,5.
