Energy Optimal Scheduling Strategy for Receiving End Grid Based on Improved Multi-objective Particle Swarm Optimization Algorithm

Abstract

In order to improve the stability and economy of the coordinated operation of source-grid-load-storage at the end of the distribution network under the novel power system structure, this paper proposes a receiving end grid energy optimal scheduling strategy based on an improved multi-objective particle swarm optimization algorithm. First, the power characteristics of each power equipment of the receiving end grid are analyzed. A mathematical model of the receiving end grid is established, which is composed of distributed power supply, traditional power grid, and energy storage system. Then, the operating, environmental, and total costs of the receiving end grid are optimized. The mathematical model of multi-objective optimal dispatching of receiving end grid is established. Finally, the improved multi-objective particle swarm optimization algorithm is used to solve the model, and an energy optimal scheduling strategy is proposed. The simulation results show that the dispatching model and optimization algorithm can realize the economy, environmental protection, and reliability of receiving end grid dispatching.