Designing an optimal scheduling scheme for the interaction between the integrated energy system of rural residences and the power grid is the key to improve the energy-saving effect and economy of rural residences.Aiming at uncertain factors such as photovoltaic output and energy load in integrated energy system planning,this paper establishes a complete power-cooling-heat integrated energy system model framework,and proposes a two-stage robust optimization method considering demand response.Meanwhile,considering the effect of demand-side regulation on energy optimization and scheduling,according to real-time electricity prices and related incentives,flexibly adjust electricity demand to optimize the interaction with large power grids for electricity purchase and sales.Through the example analysis,the specific scheduling schemes of the day before and the day are obtained respectively.The results show that the energy saving effect and cost saving of the farm house after optimal dispatching are significantly improved.The optimization scheme can make full use of photovoltaic power generation,reasonably arrange power,cooling and heating loads,and make flexible adjustments according to real-time electricity prices to realize effective interaction between farm houses and the grid.
two stage robust optimization modelintegrated energy systemgrid interaction schemeday ahead dispatchingday ahead dispatching
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