电力大客户敏感性负荷需求特性分析

Analysis of characteristics of sensitive load demand of key power customers

为提升电力服务质量,分析电力大客户敏感性负荷需求特性。通过一元线性回归模型分析获取降温敏感性负荷与气温间的关系,运用K-均值聚类方法分析电力大客户群体敏感性负荷需求特性。结果表明,在8月份,各聚类中心电力大客户的最高日平均降温负荷均集中在中旬,说明中旬气温较高,大客户的降温敏感性需求较高;另外由一天中各时段降温负荷变化数据可看出,第一类大客户的最高降温负荷需求集中于用电低谷时段,具有错峰特性,第二类大客户的最高降温负荷需求集中在用电高峰时段,第三类大客户具有持续的高降温负荷需求特性。

In order to improve the quality of power service,the characteristics of sensitive load demand of key power customers are analyzed.The relationship between cooling sensitive load and air temperature is obtained through the analysis of one-dimensional linear regression model.K-means clustering algorithm is used to analyze sensitive load demand characteristics of key power customers.The results show that during August,the highest daily average cooling load of key power customers in each cluster center is concentrated in the middle of the month,which indicates that during the period of high temperature in the middle of the month,the demand for cooling sensitivity of key customers is higher;In addition,it can be seen from the change data of cooling load in each time of the day that the highest cooling load demand of the first type of key customers is concentrated in the low power consumption period,which has the characteristics of off peak,the second type of large customers who have the highest cooling load demand is concentrated in the peak power consumption period,and the third type of large customers has the characteristics of continuous high cooling load demand.