Optimal operation of virtual power plant model in Datong area

Abstract

Wind energy is a type of clean energy technology that has been developed rapidly in recent years. Wind power integration with existing grid will bring many problems such as deterioration of power quality, system security and system stability. In order to solve the problems of wind power integration, a virtual power plant model is used to integrate a wind farm into the power grid. On the basis of summarizing the current research situation of the virtual power plant operation, this thesis puts forward the idea that the environmental benefit is one of the optimization objective of the virtual power plant operation. A small scale simulation grid including wind farm, pumped storage power station, thermal power plant, system load and control system is constructed. Through the power grid, the principle of the operation of the virtual power plant and the energy balance relationship are analyzed. The mathematical model of the virtual power plant is built with the goal of maximizing economic and environmental benefits. For verifying the model feasibility and correctness, a case study of a power plant in Datong area is used to derive the mathematical model, and the joint optimal operation condition of power generation, pumping condition and power output smoothness. In this thesis, genetic algorithm and particle swarm optimization algorithm are used to optimize the virtual power plant model. Simulation results show that the virtual power plant is capable of smoothing output power and achieve good economic benefits. The wind power benefit has risen by 56.9% through the integration of the virtual power plant system. It can also bring certain environmental benefits. The result shows that it can reduce 32.76 tonnes carbon dioxide. Virtual power is a good way to relieve the bottleneck of the difficult operation of the wind farm.