Research on Optimization of Pumped Storage-wind-photovoltaic-thermal Capacity Allocation Based on Multi-evaluation Index System
Since the"double carbon"goal was proposed in 2020,the construction and development of multi-energy power generation base based on wind and light energy is particularly prominent.The randomness and volatility of wind and photovoltaic output are required to be equipped with a certain installed hydropower,energy storage or thermal power as regulating energy to smooth the output power of wind and photovoltaic power.Based on the wind-photovoltaic data collected in Qinghai region,the GAMS software was used to build an optimal scheduling model of pumped storage-wind-photovoltaic-thermal with the goal of minimizing system operation cost.Then,the relevant evaluation index system was put forward from three aspects of stability,complementarity and economy.The capacity allocation scheme was opti-mized.Finally,the validity of the model and the rationality of the configuration scheme were verified by several typical scenarios of output.This study provides a reference for the scheduling operation and capacity allocation of multi-energy power generation base.
multi-energy combined power generatiopumped storage-wind-photovoltaic-thermal powercapacity allo-cation optimizationMINLPevaluation index system