Control Strategy for Industrial Load Participation in Power System Frequency Regulation Based on Particle Swarm Optimization Algorithm

High-energy-consuming industrial loads, with advantages such as large installed capacity and ease of centralized control, have significant potential for regulation after low-cost retrofitting, and have gradually been applied in power system frequency regulation. This paper proposes a coordinated participation scheme of aluminum electrolysis and electric heating boilers in secondary frequency regulation, optimizing the parameters of the PI controller using particle swarm optimization algorithm. A comprehensive evaluation method for the interaction of industrial loads with the grid is designed for the coordinated participation of these two types of industrial loads. Finally, a case study is conducted on an isolated power system, with simulation tests conducted under load upward and downward disturbances. The simulation results demonstrate the flexibility and superiority of the proposed scheme in frequency regulation.