Research on Interactive Platform System of Power Load Interactive Management in Distribution Network under Smart Grid
Yao Dong, Yun Ma, Jun Li, Lei Gao, Boliang Pan, Junhui Mao · 2023
On this basis, a method of using wireless communication technology to achieve load control is proposed. The entire system includes three major parts: the main station computer system, data communication network, and on-site terminals. Analyzed the key functional modules in the power grid load regulation system. Then the power load forecasting method of improved extreme learning machine is proposed. The key characteristics were extracted by means of data mining and Pearson correlation analysis, and input into the extreme speed learning machine based on Spike algorithm to achieve load prediction of power grid. The experiment has proven that the established prediction model has a high prediction accuracy, with a prediction coefficient of 0.95. This method has good prediction results.