Research On Output Power Optimization Of Solar Thermal Photovoltaic Bundling Power Generation System

Due to its power generation mode,the output power of photovoltaic power stations is greatly affected by illumination conditions,which makes the problem of light rejection after grid-connected photovoltaic power stations very serious and limits the development and utilization of photovoltaic power stations to a certain extent.Photothermal power station has a special way of generating electricity.As the photovoltaic power station is equipped with a heat storage system for storing heat,it can store the surplus heat other than the heat required for normal powe r generation and supply the system for power generation in case of insufficient light.A photothermal photovoltaic bundling power generation system is formed by combining a photovoltaic power station and a photothermal power station,and then the random fluctuation of the output power of the photovoltaic power station is quickly responded by reasonably adjusting the output power of the photothermal power station,so that safe and stable power supply can be provided for users.Therefore,the output power optimization of photothermal photovoltaic bundling power generation system is studied in this thesis.First of all,this thesis introduces the distribution of solar energy resources and the development of photo-thermal photovoltaic power generation in China,and thus expounds the necessity of building photo-thermal photovoltaic bundling power generation system.Based on the existing photo-thermal power generation and photovoltaic power generation technologies,this thesis establishes a photo-thermal photovoltaic bundling power generation system,and briefly and clearly explains its structure and operation mechanism.On this basis,this thesis proposes the operation mode of the system under different lighting conditions.Secondly,considering the power generation cost of photothermal photovoltaic bundling power generation system,this thesis establishes a capacity optimization configuration model of photothermal photovoltaic bundling power generation sys tem based on system power generation cost and system power generation cost.Then,this thesis uses genetic algorithm to solve the model and obtains the capacity allocation of photothermal photovoltaic bundling power generation system when the power generation cost is the lowest.Under the condition of the lowest power generation cost of photothermal photovoltaic bundling power generation system,this thesis establishes a system output power optimization model that comprehensively considers the fluctuation of system output power and power generation.In addition,the improved MOCS is applied to solve the model,and based on the model solution,the optimal control strategy of system output power is proposed,which improves the operation efficiency of photothermal photovoltaic bundling power generation system.Under the Matlab environment,this thesis verifies the feasibility of the proposed method with specific examples according to the relevant parameters of the actual photo-thermal power station and photovoltaic power station.