Simulation of Electrical Power System Reserve Capacity Optimization Model Based on Differential Evolution Algorithm

Electrical power system (EPS) needs to give consideration to the reliability and economy of system operation when allocating spare capacity. If the spare capacity is configured too much, the security and sufficiency of the system operation will be reduced, and if it is configured too much, the economy of the operation will be reduced unnecessarily. In the actual EPS operation process, due to the uncertainty of load and power generation changes, such as load changes and forced outage of units, power generation must be adjusted at any time according to load changes. In this article, an optimization model of EPS reserve capacity based on differential evolution (DE) algorithm is proposed, which improves the spatial exploration and development ability of DE algorithm, improves the accuracy of the solution and the convergence speed of the algorithm, and finally realizes the optimization of interconnected EPS reserve capacity with wind farms. The simulation results show that the accuracy of the improved DE algorithm can reach 96.75%, which is more than 15% higher than that of the traditional particle swarm optimization (PSO) algorithm. Therefore, this method can effectively reduce the spare capacity configuration of the system on the premise of ensuring the security and stability of the system.