李秀峰,蒋燕,高道春,段睿钦,刘梅,燕鹏飞.基于分配因子和信息熵的母线负荷组合预测模型[J].电测与仪表,2024,61(3):64-69. LI Xiufeng,JIA Yang,GAO Daochun,DUAN Ruiqin,LIU Mei,YAN Pengfei.Variable Weight Bus Load Combination Forecasting Model Based on Distribution Factor and Information Entropy[J].Electrical Measurement & Instrumentation,2024,61(3):64-69.
基于分配因子和信息熵的母线负荷组合预测模型
Variable Weight Bus Load Combination Forecasting Model Based on Distribution Factor and Information Entropy
Load forecasting is an important basis for guiding power system planning, scheduling, and safe economic operations. The traditional load forecasting generally refers to the prediction of the total regional load, which cannot reflect the underlying bus load level and cannot meet the requirements of grid lean management. Therefore, bus load forecasting is the key way to solve this problem. However, the number of load bus in the system is large, the load base is small, the characteristics are different, and the volatility is strong, which brings difficulties to the bus load forecasting work. In this paper, the bus load forecasting model is studied. According to the actual grid situation, the concept and forecasting idea of load distribution factor are proposed. Considering the validity of historical data and Selecting similar days by using daily feature quantity and trend similarity, a variable weight combination forecasting method based on information entropy is proposed to improve the prediction load accuracy of the whole system. Combined with the system load forecasting results and the load distribution factor, the predicted results of each bus are finally obtained. The example verification is carried out by using a certain regional grid load. The results show that the prediction model established in this paper has good prediction accuracy and stability.
