Optimal Operation And Thermal Energy Storage Capacity Configuration In The Power System With Photovoltaic Power And Concentrating Solar Power

In order to cope with the climate change and the energy crisis,rapid development of renewable energy has become the consensus of energy development around the world.Compared with photovoltaic power generation,concentrating solar power technology retains its characteristics of clean power generation and has a certain degree of dispatchability as a kind of renewable energy generation.It coordinates the contradiction between the utilization of renewable energy generation and its difficulty in dispatching,and has become one of the most potential power generation technologies in renewable energy generation.However,concentrating solar power uses solar energy to generate electricity,so they are flexible and uncertain at the same time.It is difficult to find an equivalent generation model in the existing optimal operation model.At the same time,concentrating solar power are composed of many subsystems.The capacity ratio of each subsystem will affect the operation economy of concentrating solar power and even the whole system.So we research the operation optimization of photovoltaic-concentrating solar power generation system and the optimal allocation of concentrating solar power storage capacity.A short-term and long-term photovoltaic model based on forecasting and scenario analysis was established.The main factors affecting photovoltaic output are studied based on grey correlation coefficient method,and a clustering recognition method of weather types based on learning vector quantization network is proposed.A short-term photovoltaic output prediction model based on PSO-BP neural network is established,and the prediction error is corrected based on Markov chain theory to further improve the prediction accuracy under different weather types.In the long-term scenario model of photovoltaic power generation based on substitution method,Kantorovich distance based synchronous substitution elimination method is used to reduce photovoltaic output scenarios of different weather types in different seasons,and generate typical photovoltaic representative scenarios in different seasons and weather types.Based on tower concentrating solar power generation,the working principle of its key links,such as heat collection system,energy storage system and power generation system,is mainly studied,and the energy flow model of concentrating solar power is established.On this basis,the optimal operation model of photovoltaic power-concentrating solar power generation system is established with the objective of optimizing the overall operation economy of the system.At the same time,the 39-bus system is taken as an example to analyze the combined power generation system.Researching the promotion effect of power generation on photovoltaic absorption and the influence of different boundary conditions on the operation mode of concentrating solar power.Based on the theory of chance-constrained programming,considering the uncertainty of load forecasting and photovoltaic output,establishing the optimization model of the mirror field and thermal energy storage capacity of concentrating solar power based on chance-constrained programming,which is aiming at minimizing the construction cost of photovoltaic power plant and the total operation cost of the system.Researching the optimal allocation scheme of the mirror field and thermal storage capacity under different unit investment costs and analyzing the influence of area and installed capacity of concentrating solar power on the optimal allocation of thermal storage capacity and the operating costs of the system.