模糊聚类在区域变电站节电工作中的应用  

Application of fuzzy clustering algorithm in electricity-saving work of regional substations

作　　者：郜幔幔 耿红杰[1] 欧阳森[1] 李桂昌 

机构地区：[1]华南理工大学电力学院,广州510640 [2]广州市奔流电力科技有限公司,广州510640

出　　处：《电力需求侧管理》2015年第4期20-24,共5页Power Demand Side Management

摘　　要：针对区域变电站节电研究中,变电站数量众多、类型复杂多样造成变电站的节电划分工作量大、指标选择偏主观性和经验性等问题,提出一种应用模糊聚类算法的区域变电站节电划分方法。建立涵盖变电站电压等级、主变台数等基本参数和输送电量、站用负荷电量等电气参数的节电属性指标体系;设计基于模糊聚类算法的变电站节电划分模型,该模型可依据所建立的节电属性指标体系,应用聚类中心矩阵和隶属度矩阵将各变电站在节电属性方面的亲疏关系量化,从而将变电站合理分类;以广东省某供电局的实际变电站数据进行实例分析,论证了方法的正确性和有效性。There are numerous and various types of regional substations which lead to the heavy work in substation electricity- saving classification and the subjectivity and empirical problems of index selection. This paper presents an electricity-saving classifica- tion method for regional substations based on fuzzy clustering algo- rithm, First of all, electricity-saving index system is built that cov- ers the basic parameters such as voltage grade, transformer amount and the electrical parameters such as transmission power consump- tions, load power consumption within the substations. Then, based on fuzzy clustering algorithm, substation electricity-saving classifi- cation model is designed. The model will quantify affinity-disaffini- ty relationship of substations in terms of their electricity- saving properties through the clustering center matrix and the member- ship degree matrix and classify substations reasonably. Finally, the paper has carried the research to the actual substation data of a cer- tain power supply bureau in Guangdong province, which demon- strates the correctness and validity of the method.

关 键 词：变电站节电划分模型 节电属性指标体系 模糊聚类 

分 类 号：TK018[动力工程及工程热物理] TM631[电气工程—电力系统及自动化]