基于负荷特征库的大用户供电接入决策方法

Decision Method of Power Supply Access for Large Consumers Based on Load Feature Library

业扩报装业务是电改背景下提升大用户供电服务水平和电网资产利用率的重要环节。当前业扩报装业务在制定供电接入方案时,由于忽略了大用户负荷的时序特征,易造成同类型负荷集中接入同一供电点,导致供配电设施利用率不高等一系列问题。为此,提出基于负荷特征库的大用户供电接入决策方法。首先,采用模糊C均值聚类从历史用电数据中提取若干负荷模式,构建大用户典型负荷特征库;其次利用决策树模型对新接入大用户进行负荷模式识别;随后提出供电接入组合优化模型;最后通过典型算例验证所提方法的有效性。

With the reformation of electric power system,the expansion of distribution network is an important part of improving the power supply service level and asset utilization of large consumers.Due to the ignorance of load characteristics,the load with the same temporal distribution can be easily connected to the same power supply terminal,which may lead to a series of problems,such as the low utilization,and low voltage of distribution network.For this reason,a load access decision method of large consumers based on load feature library is proposed.Firstly,the load feature library of large consumers is constructed by fuzzy C-means clustering.Then,a decision tree model is used to identify the load pattern of large consumers.At last,a load access optimization model is proposed.The optimization model is aimed at the load balancing of different power supply terminals.The effectiveness of the proposed method is verified by a real project example.