Electric power system load modeling method based on big data

• Main Authors: SHAO CHONG, MA RUI, ZHANG BOLIN, ZHANG LEI, LIN BO, LIU KEQUAN, XU WENNA, LIU WENFEI, YAN TONGTONG, WEI BO, CUI YAN, LI XIUHUI, ZHOU YAWEI, YU JIAO, SHANG BOTAO, LIU LINLIN
• Format: Patent
• Language: Chinese; English
• Published: 06.11.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an electric power system load modeling method based on big data and relates to the field of electric power systems. The method comprises the following steps of firstly, obtaining a historical data sample of a load node to be identified, the data comprising bus voltage U, active power P, reactive power Q and bus frequency f; then respectively establishing load models of thestatic ZIP and the induction motor; establishing a power grid comprehensive load model, and determining the proportion of each load component in the power grid; and finally determining each load parameter in the power grid. The method is simple to implement and accurate in result, can be applied to load modeling and parameter identification of the power system, and provides a basis for subsequentsafety and stability analysis and control of the power system. 本发明公开一种基于大数据的电力系统负荷建模方法，涉及电力系统领域，包括以下步骤：首先获取待辨识负荷节点的历史数据样本，数据包括母线电压U、有功功率P、无功功率Q以及母线频率f；之后分别建立静态ZIP和感应电动机的负荷模型；再建立电网综合负荷模型，确定电网中各负荷成分所占比例；最后确定电网中各负荷参数。本发明实现简单、结果准确