Optimal Operation And Dispatch Of The High Renewable Energy Penetrated Power System With Concentrating Solar Power Plant

Under the goal of ‘emission peak’ and ‘carbon neutrality’ in China,renewable energy generation is developing rapidly while the power grid is transferring to high renewable energy penetrated power system.As a new renewable energy generation technology with multi-function characteristics including power generation and energy storage,concentrating solar power equipped with the thermal energy storage system can effectively improve its operational flexibility and promote renewable energy consumption.In the regions with abundant solar resources,it is an effective way to cope with the high renewable energy penetration and ensure the safe and stable operation of the power grid by combining the generation of concentrating solar power and photovoltaic.The combination can make full use of the flexible characteristics of the concentrating solar power generation.The main research objective of the thesis is the concentrating solar tower power plant.In order to enhance the operational economy and reliability of the high renewable energy penetrated power system,a refined model of the concentrating solar power plant is established.An optimization method of optimal operation integrating concentrating solar power and photovoltaic is proposed,which takes the uncertainty of solar irradiance into account to improve the grid-connection efficiency of the concentrating solar power plant.This thesis focuses on the following aspects:The relationship between energy conversion and heat transfer fluid flow in the plant is analyzed based on the structure and operation principle of the concentrating solar power plant.Modular modeling method is adopted to build the models of each part,which can accurately describe the characteristics of solar-thermal-electric energy conversion and real-time thermal energy storage status of the concentrating solar power plant.The control strategy of each component of the concentrating solar power plant under different operating conditions is considered,and the refined model of the concentrating solar power plant is established.Long short-term memory(LSTM)neural network algorithm is used to propose a high-precision solar irradiance prediction model.It also provides a reference for the multi-day optimal operation plan and thermal energy allocation strategy of the concentrating solar power plant.Aiming at minimizing the comprehensive operation cost of the power system,the optimal operation optimization model integrating concentrating solar power and photovoltaic is established on the basis of the refined concentrating solar power plant model,considering the constraints of the power system and each unit.By solving the proposed model,a optimal operation scheme of the high renewable energy penetrated power system with concentrating solar power is obtained.Considering the strong correlation between solar irradiance and the concentrating solar power plant operation state,the typical scenario generation method based on the concentrating solar power plant operation state is proposed.In view of the uncertainty of solar irradiance,a distributionally robust optimization(DRO)method for the optimal operation integrating concentrating solar power and photovoltaic is proposed with multiple scenarios,and the comprehensive norm is used to construct the confidence set to avoid one-sided or extreme optimization results.Compared with stochastic optimization(SO)and robust optimization(RO),the validity and superiority of the DRO model proposed in this thesis are verified.