Multistage Coordinated Control of Voltage and Reactive Power in Distribution Network Based on Pulse Random Neural Network

Abstract

The multi-level coordinated control method of voltage and reactive power of distribution network based on pulse random neural network is studied to improve the economy, reliability and stability of distribution network operation and improve the quality of power supply. Build three layers of impulsive stochastic neural network short-term load forecasting model, the implementation of power network short-term load forecast, according to the forecast results, when the power system load fluctuation is bigger, with a distribution network power supply reliability, economy and stability as the optimization goal, combined with four coordinated control method for distribution network voltage reactive power coordinated control. The experimental results show that the prediction results of this method are accurate and reliable, and the predicted load fluctuation trend is in line with the actual situation. The method in this paper reduces the grid loss by 63.64% and the voltage deviation rate by 77.27%, effectively reducing the network loss, voltage deviation rate and power factor. The method in this paper ensures the economy of DG and can maintain the stable and reliable operation of the power system. High continuous quality provides effective help for stable power supply of the power system.