Capacity Optimization of Clean Renewable Energy in Power Grid Considering Low Temperature Environment Constraint

Abstract

Cold regions have complex and diverse environments with low temperatures and short sunshine times throughout the year. To rationally configure the capacity of the lowerature environment microgrid system and improve the power supply reliability of the lowerature environment microgrid system and energy utilization rate. Based on the characteristics of a lowerature environment, a wind-hydrogen-storage microgrid capacity optimization model for hydrogen production from surplus wind power is proposed, and the real-time influence of lowerature on the output of wind turbines, battery capacity and power load is considered, and the annual average cost is minimized. The annual load shortage rate is restricted, and the capacity of the microgrid power supply system in a lowerature environment was optimized. In this study, a region in northeast China was the research object. According to the optimized model, because of the defects of the traditional particle swarm optimization (PSO) algorithm, the traditional PSO algorithm is improved to optimize the capacity of the microgrid system. The simulation results were analyzed from the aspects of economy and reliability, and the proposed results were verified. The reliability of the method provides a reference for the optimal configuration of the microgrid capacity in lowerature environments.