AFSA与POA融合算法在水库中长期优化调度中的应用研究  

Study of United Algorithm of AFSA and POA in Optimal Operation of Hydropower Station

作　　者：舒凯[1] 张玉松 李伟 白浪涛[1] SHU Kai;ZHANG Yusong;LI Wei;BAI Langtao(State Grid Electric Power Research Institute,Nanjing 210003,China;Three Gorges Cascade Dispatch&Communication Center,Yichang 443000,China)

机构地区：[1]国网电力科学研究院/南瑞集团有限公司,江苏省南京市210003 [2]三峡水利枢纽梯级调度通信中心,湖北省宜昌市443000

出　　处：《水电与抽水蓄能》2022年第6期105-109,共5页Hydropower and Pumped Storage

摘　　要：通过融合AFAS(人工鱼群算法)、POA(逐步优化算法)两种算法形成一种融合优化算法,解决AFAS算法容易陷入局部最优解与POA优化速度缓慢问题,使得融合算法在水库优化调度中更快、更准确地获得调度过程最优解。融合算法利用AFAS快速收敛的特点,获取调度过程初步解,再以POA跳出局部最优解的能力获得全局最优解。融合算法以天生桥一级水电站为实例,分别以AFAS、POA、AFAS与POA融合3种算法对电站历史过程进行优化调度,结果表明,融合算法综合考量结果优于单一AFAS与POA结果,说明AFAS与POA相融合的算法在水库调度的优化方面有一定的应用空间。This paper establishes a united optimization algorithm by merging AFSA(Artificial Fish Swarm Algorithm)and POA(Progressive Optimization Algorithm),which solves the problem that AFSA is easy to fall into local optimal solution and the problem of low speed of POA,so that the united algorithm can obtain faster and more accurate result in optimal operation of hydropower station.The united algorithm takes advantage of the rapid convergence of AFSA to obtain the preliminary solution of the operation process,and then obtains the global optimal solution by the ability of POA to jump out of the local optimal solution.Taking the TianSheng bridge first-class power station as an example,three algorithms including AFSA,POA,united algorithms of AFSA and POA are used to optimize the historical process of the power station.The results show that the comprehensive consideration of the united algorithm is better than that of a single AFSA and POA.This results also indicate that the stochastic bionic optimization algorithm Combined with the deterministic optimization algorithm can achieve better results.

关 键 词：AFAS POA 优化调度 

分 类 号：TK734[交通运输工程—轮机工程]