Research on Power Control and Prediction Strategies of New Energy Based on Cloud Platform and BP Neural Network
Song Zhang, Guanghuai Li, Tiemin Li, Xiaofeng Han, Ying Ren, Jiuhui Kang · 2021 International Conference on Power System Technology (POWERCON) · 2021
Power control and prediction system of new energy based on cloud network is established to overcome the disadvantages of less data, poor adaptability of fixed mathematical model, low power prediction accuracy and poor intelligence of power control. The scheme of the twin platform of monitoring sub platform and cloud sub platform can meet the requirements of realtime control and new energy big data construction at the same time. The realtime communication with the power grid dispatching center can also be realized simultaneously. Wind farm and photovoltaic power prediction model is built on the BP neural network. Strategy of coordinated control of new energy is established on the basis of power control and prediction strategies through cloud network. Active and reactive power coordinated control strategy is also proposed to ensure frequency and voltage stability.