基于仿水循环粒子群算法的含风电短期节能减排经济调度

Short-term Energy-saving and Emission Reduction Economic Dispatch of Wind Generation Integrated Power System Based on Water Cycle-like PSO

针对粒子群算法在上述问题的全局最优解计算中耗时大且往往不易收敛的问题,从自然界水循环过程中得到启发,揭示水循环过程与粒子群算法的结合,提出仿水循环粒子群算法,并导出该算法结构与公式。

In view of the excessive time consumption and convergence problem of Particle Swarm Optimization （pSO） in global optimal solution calculation, this paper, inspired from water cycle process in nature, combines PSO with water cycle process. Then a new optimal algorithm called Water Cycle-like Particle Swarm Optimization （WCPSO） is presented and the calculation structure and formula are derived.