基于进化捕食策略法的风-水-火电短期负荷分配优化

考虑负荷与风电的不确定性,建立了基于机会约束规划的风-水-火电短期负荷分配优化模型。为了更好地权衡局部搜索与全局搜索性能,应用进化捕食策略法求解水-火电短期优化调度与风-水-火电短期负荷分配问题。算例结果表明,与其他算法相比,进化捕食策略法在水-火电短期优化调度中能够搜索到更优的解,同时基于机会约束规划的优化方法为系统旋转备用容量的合理设置提供了依据。

Short-Term Dispatch Optimization of Wind Hydro-Thermal Load Based on Evolutionary Predator Prey Strategy

A mathematical model for short term wind-hydro-thermal load dispatch is built up based on chance constrained programming considering the stochastic characteristics of load and wind power. In order to make a better balance between local search and global search abilities, an evolutionary predator prey strategy (EPPS) is used to solve the short-term hydro-thermal generation scheduling and short term wind hydro thermal load dispatch problems. The simulation results show that EPPS can find better solution compared with other algorithms in short-term hydro-thermal generation scheduling. Meanwhile, the approach of chance-constrained programming provides the basis for setting reasonable spinning reserve capacity of system.