Multi-objective Coordinated Optimal Scheduling of Virtual Power Plants Based on Demand Side Response

Abstract

The large-scale access of distributed new energy sources and the large number of grid connections of diversified flexible resources on the user side make the power system facing unprecedented tests. In order to ensure the safety, stability and economic and efficient operation of the power grid, various flexible resources need to be optimally scheduled and coordinated. In this paper, a multi-objective coordinated optimal scheduling method for virtual power plants based on demand side response is proposed, which aims to solve the dual uncertainty of source and load and realize the unified scheduling of source and load resources in a wide area. Firstly, the energy storage system, the flexible load, the electric vehicle and the distributed new energy are aggregated into a virtual power plant, and the virtual power plant as a whole participates in the unified scheduling of the power grid. Then, a multi-objective optimal scheduling model considering the peak load regulation capacity, operation cost and compensation revenue of users is established. Based on the model, the operation mode of various resources is optimized, and the power grid peak shaving capacity and new energy consumption capacity are greatly improved. An actual system in a certain area is used for testing, and the test results of an example verify the correctness and effectiveness of the model and method in this paper.