宁波城区夏季电力负荷分析及在有序用电管理中的应用

Summer load analysis of Ningbo urban areas and its application to orderly power consumption management

通过夏季宁波市城区负荷管理系统、调度SCADA系统、客户营销系统等数据以及拉限电记录和气象资料,利用统计分析、数据挖掘、人工智能等数据分析方法,获得按气温、电力销售和空调分类的典型日负荷原始需求曲线,按时段给出各类负荷的定量描述,为根据各区的负荷需求分布情况有针对性地制订各级用电缺口下的有序用电方案提供了科学依据。

Analyzing the data from the load management system, SCADA, and the marketing system for Ningbo urban areas in summers, as well as the records on power breakoff and limitation and the weather statistics, the daily curves of power consumption of different customers and air conditioning loads were obtained by using data analysis methods such as statistical analysis, data mining, and artificial intelligence. The curves can be used as scientific support for orderly power consumption planning.