改进的模糊 C 均值法在负荷特性统计数据聚类中的应用摘要电力负荷是整个电力系统的安全稳定运行中较活跃的一部分。建立符合实际的动态负荷模型对电力系统规划、设计和运行等诸方面均有十分重要现实意义。本文采纳有用化负荷建模思想 ，对负荷特性进行聚类，从而为变电站建立合适的负荷模型打下基础。基于目前负荷建模方面存在的问题，使用模糊 C 均值法，对同一地域不同地点变电站的负荷统计数据进行聚类分析。针对电网 48个变电站，对模糊 C 均值法实施改进后对其进行聚类，并与未改进的模糊 C 均值法的聚类结果进行比较，以说明改进方案的有效性。关键字：电力负荷；负荷特性；聚类；模糊 C 均值法APPLICATION OF IMPROVED FCM TO ELECTRIC LOAD CHARACTERISTICS OF STATISTICAL DATA CLUSTERINGABSTRACTThe power load is an active part in the security and stable operation of the entire electrical power system. It is significantly important to make suitable load model for the power system planning, design and operation. In this paper the practical load modeling method is employed, and the load characteristics is clustered to establish the actual load model for substations. Based on the current problems, FCM with hierarchical clustering is used to perform the clustering of the load characteristics data of the different substations on the same area, the improved method is applied for the clustering of Hunan grid substation. The clustering result shows that the improved method is effective comparing with the unimproved method.Key Words: power load;load characteristic; cluster,FCM目 录第一章绪论........................................................11.1 讨论背景........................................................11.2进展与讨论现状..................................................2 1.2.1 进展.......................................................2 1.2.2 讨论现状...................................................4 1.2.2.1 电 力 负 荷 建 模 的 总 体 原 则 ...........
