统计综合法负荷建模中的行业用户精选

Consumer Choice for an Industry in Statistical Synthesis Method Based Load Modeling

统计综合法负荷建模必须以典型用户用电设备构成情况的调查统计为基础。结合电网实际建模经验,提出了一套系统的调查方法。在此基础上,应用等价关系聚类和模糊C均值聚类两种模糊聚类法对得到的调查数据进行分析和处理,精选出行业典型用户,从而为研究各行业的综合负荷特性提供了新的有效手段。给出了纺织行业用户精选实例,验证了该方法的可行性和有效性。

The statistical synthesis method based load modeling approach should take the investigation data of the typical consumer's load characteristics as its foundation. By combining the load modeling practice, a set of systematic investigation methods is put forward, based on which two fuzzy clustering methods, the fuzzy equivalent relation clustering and the fuzzy C means clustering, are applied to analyze and process the investigation data obtained. As a result, typical consumers of the industry are chosen, thus providing a new effective way to study the synthesized load characteristics of various industries. Finally, an example of the choice of the textile industry consumers is given to prove the feasibility and validity of the method proposed.