摘要
以洪家渡水电站为例,探讨了粒子群算法在水电站中长期优化调度的应用方法及效果。实例计算结果表明,该算法可以求解复杂约束条件的非线性水库优化调度,精度高、收敛速度快,为解决水电站中长期优化调度问题提供了一种有效的方法。
Taking Hongjiadu hydropower station as an instance, the PSO method is proposed to optimize the hydropower station operation in this paper. Practical application demonstrates that PSO is able to solve the optimal dispatch of reservoir with complicated nonlinear constraints. Compared with classical methods, PSO is an efficient method for hydropower station optimal dispatch, which has high precision and quickly convergence speed.
出处
《水电能源科学》
2007年第5期99-101,共3页
Water Resources and Power
关键词
水电站
优化调度
粒子群算法
hydropower station
optimal dispatch
particle swarm optimization algorithm
