Multi-objective operation optimization analysis based on distributed energy sources

Abstract In the context of determination and implementation dual carbon goal, it is an important trend China’s energy strategy to incorporate a considerable proportion renewable into power grid. Therefore, consumption gradually turning new sources such as wind energy. Considering limitations random, intermittent anti-peak regulation forms light, multi-objective optimization model wind, fire storage combined generation heating built. This can fine-tune fill valley by using peak regulating capacity thermal plants pumped devices, so that whole system has stable capacity. The solved multi-purpose particle swarm algorithm based on maximum total rotation minimum slope fluctuation. calculation results show established effectively improve light rates reduce set pressure device.