The volatility and randomness of new energy sources make it difficult to consume them in power system.Therefore,the abandonment of wind/photovoltaic energy occurs frequently.A synergistic source-load-storage optimization considering the wind energy consumption for cogeneration microgrids is proposed in this paper.Taking the total cost of operation of the microgrid and the wind power consumption as the optimization objectives,the synergistic optimization of microgrid is carried out based on the cooperative control of cogeneration units,energy storage system and thermal storage system.The proposed model is solved by non-dominated sorting genetic algorithm(NSGA-Ⅱ)optimization algorithm and validated based on real data in an industrial microgrid.The proposed source-load-storage co-optimization model can ensure the wind power consumption in a reasonable running cost compared with the optimization model considering the single flexible resource.
new energy sourceswind power consumptioncombined heat and power supplymicrogridregenerative electric boilernon-dominated sorting genetic algorithm(NSGA-Ⅱ)
NETL
NSTL
维普
万方数据
