Multi-objective Optimal Scheduling for Improving Renewable Energy Consumption Considering Energy Storage Participation

Abstract

Abstract In response to global environmental crisis and energy exhaustion, the renewable energy resources represented by solar and wind energy have been rapidly developed. In order to make full use of the dispatch resources within the regional power grid, the multi-objective optimal scheduling for improving renewable energy consumption considering energy storage participation is studied. Firstly, the charging and discharging state of the multi-point arrangement of energy storage device are judged according to the source and load status of regional power gird. Secondly, considering the operation constraints of the actual system, taking the total operation cost and network loss of regional power gird as the objective functions, the improved multi-objective search algorithm based on particle swarm optimization algorithm is used to solve the model. Finally, the actual power grid in Xinjiang of China is used as an example for simulation calculations. The simulation results show that the proposed multi-objective optimal scheduling method can significantly improve the system economy, suppress the fluctuation of the upper-level exchange power, and at the same time take into account the renewable energy consumption capacity, which is conducive to the safe and stable operation of the regional power grid.