Research on Voltage and Reactive Power Control Strategy Based on Intelligent Detection of Abnormal Data and Coordinated Control of Dynamic Reactive Power

Abstract

This paper analyzes the safety, effectiveness and coordination problems of the current voltage and reactive power control system in practical application. In order to optimize the voltage reactive power control strategy, improve the voltage reactive power quality and reduce the network loss, a voltage reactive power integrated control system based on intelligent detection of abnormal data and dynamic reactive power coordinated control is proposed. The system consists of LSTM deep learning network prediction model based on multi-source data to detect the anomaly of input data, a multi-objective decision model of voltage and reactive power control, and a coordinated control with dynamic reactive power. The case analysis and simulation results verify the feasibility of the method. The improved voltage and reactive power control system can effectively improve the pass rate of voltage and power factor, and comprehensively provide the system operation safety, effectiveness and coordination.