基于多因素的改进MSS-PGA及其在水电站负荷优化分配中的应用

Based on mutil-agent modified MSS-PGA and its application to optimal distribution load of hydropower-station

机组负荷优化分配是研究水电站经济运行问题的核心部分,长期以来备受研究人员的重视,但目前为止,尚没有找到一个高效的算法来求解这个问题。本文将多因素技术与同步主从式并行GA(MSS-PGA)结合起来,建立了一种基于多因素的同步主从式并行GA,并将其应用于水电站负荷优化分配问题的求解中。该算法与传统GA相比,具有更高的精度和收敛性;与其它并行GA相比,能够很好的节省网络资源和计算代价,更能适用于求解水电站负荷优化分配问题。

Optimal distribution of unit load is the core problem of the hydropower station oporation. It has long been the focus of personnel study, but so far an efficient algorithm is still not found to solve this problem. Together with multi-agent technology and master-slave synchronization parallel GA （MSS-PGA）, a modified master-slave synchronization parallel GA is presented based on multi-agent and used to solve optimal load distribution in hydropower-station. Compared with the traditional GA, this algorithm has higher accuracy and convergence; and compared with the other parallel GA, it is better to save network resources and the cost of calculation, so it is more suitable to solve the optimal load distribution of hydropower-station.