Capacity Allocation Optimization and Economic Analysis of Multi-Power System Including Wind Power, Photovoltaic, Thermal Power, and Storage

In recent years, with the proportion of renewable energy in the grid continuously increasing, the study of the stability and economics of renewable energy system has become a hot spot. This paper builds a capacity allocation optimization model for a multi-power system including wind power, photovoltaic, thermal power and storage. The model comprehensively considers initial investment costs, operation and maintenance costs, and social benefits as factors that affect the system's economics, with the goal of maximizing the annual profit. The particle swarm algorithm is used to solve the model, and the optimal capacity allocation of each part of the system are given. Finally, in the calculation example, the economics of the system under various modes are compared. The example shows that the model mentioned in this paper has certain feasibility and practical guiding significance in terms of economy and operation effect.