粒计算在电力系统优化调度中的应用探索

Application on Granular Computing in Optimal Dispatch of Power System

基于粒计算的基本理论和思想,将电力系统各个机组进行粒化,以假想最优调度下的机组组合状态为目标序列,以系统优化潮流计算条件下的机组组合状态为无限接近目标序列的函数序列,应用粒的相似度概念进行此函数序列与目标序列之间粒的相似度计算,确定出在实际中最能接近给定假想最优调度下的目标序列所对应的最优发电机组组合,从而为优化调度决策提供重要依据。

Every units of electric power system granulation are carried out based on the basic theory and thought of granular computing. After pelletized,this paper uses the intelligent search algorithm to calculate the similarity of the granule in both of the system in the corresponding searching space by combined state of a giving optimized target of optimal dispatching as target sequence. The proposed method is capable of determining the combination state of running generator which is most close to the giving optimized target of optimal dispatching in the actual electric power system. The results are important for decision-making in power generation scheduling.