Study On Optimal Energy Control Strategy For Residential Area

The New Energy Industry Development Plan of Shanxi Province during the 13 th five-year plan period points out that under the background of the new normal of the national economy,the price of oil and natural gas decreases,the demand for coal gradually slows down,and the current overcapacity.Therefore,we should pay attention to model innovation and mechanism innovation,so as to promote the efficiency and energy conservation in relevant key areas,and realize the optimization of the energy structure of the whole province by gradually optimizing the structure of energy use.The residential area includes household electrical loads,electric vehicles(EVs),photovoltaic(PV),and energy storage system(ESS).By optimizing the resources of residential communities,the local consumption rate of clean energy can be promoted,the load demand of the peak period can be reduced,the energy demand can be adjusted to the peak period of photovoltaic output or the period of low electricity purchase cost,and the household electricity expenditure can be reduced.Firstly,this paper summarizes the research status of comprehensive energy at home and abroad,including the model building of various resources and the research on optimal scheduling scheme of comprehensive energy.Secondly,the energy operation framework of the residential district is introduced,and the resource model of the residential district is established.Then,the economic model of residential buildings is established by considering the orderly guidance of charging and discharging of electric vehicles in buildings,the segmenting management of energy storage system and the sharing of electric energy among buildings.Finally,six different examples are used to verify the validity of the proposed model.For example 1,electric vehicles in buildings are charged unordered,and ESS is disordered charging and discharging.There is no energy sharing,and the simple adjustable load is not optimized.For example 2,electric vehicles in buildings are charged unordered,ESS is charged and discharged unordered,and there is no energy sharing.The simple adjustable load is optimized.For example 3,electric vehicles are orderly charging and discharging,ESS is disorderly charging and discharging,and there is no energy sharing.The simple adjustable load is optimized.For example 4,electric vehicles are disordered charging,ESS is orderly charging and discharging,and there is no energy sharing,and the simple adjustable load is optimized.For example 5,electric vehicles are charged and discharged orderly,ESS is charged and discharged in an orderly manner,and there is no energy sharing.The simple adjustable load is optimized.For example 6,electric vehicles are charged and discharged orderly,ESS is orderly charging and discharging,sharing of electric energy between buildings,and optimizing the simple adjustable load.Results show that through guiding electric vehicles charging and discharging orderly,the part of the electric vehicle charging load is transferred to the electricity valley period,and part of the electric vehicle is discharging in the electricity peak period,which can shift electricity from the peak period to the valley period,save users charging costs,and gain V2 B discharge revenues;By guiding the orderly charging and discharging of ESS,ESS can be charged in the photovoltaic output stage and the electricity valley period,and discharged in the non-photovoltaic period and the normal period and peak period of electricity consumption,which can maximize the consumption of photovoltaic output and save the electricity expenditure of households;By sharing electric energy between buildings,clean energy can flow between buildings with surplus electricity and buildings with lack of electricity,which can improve the local consumption rate of clean energy and reduce the electricity purchase cost of residents.