The Energy Management Optimization Algorithm for User-Side AC Voltage Stabilizers Based on Flexible DC Technology

This paper proposes an energy management optimization algorithm for user-side AC voltage stabilizers based on flexible DC technology. The algorithm combines real-time load forecasting and electricity price data analysis, using Particle Swarm Optimization (PSO) and Long Short-Term Memory (LSTM) networks to optimize energy scheduling. Experimental results show that the proposed algorithm effectively reduces system operation costs and improves the stability and economy of the power system, especially in a time-of-use pricing environment.