Research On Energy Management Methods For Household And Community

With the development of distributed energy resource(DER)technologies,various DERs would be widely applied to residential houses.Thus,power system are undergoing a fundamental transition,with traditionally passive consumers becoming ‘prosumers' — proactive consumers with DERs,actively managing their consumption,production and storage of energy.At the household level,it is a formidable challenge for users to manage such a complex home energy system,incorporating electricity,thermal energy,natural gas and other forms of energy.At the community level,how to effectively coordinate the DERs owned by different individuals is a key question that remains unresolved.For this purpose,this paper will focus on energy management methods for household and community.The specific work is as follows:Firstly,in order to adapt to the new trend of multi-energy integration under the paradigm of energy internet,the modeling of residential multi-energy system(MES)is studied in this paper.An integrated model for residential MES incorporating electricity,thermal energy,natural gas and renewable energy is considered.Furthermore,the functions of each module are introduced and analyzed in detail.In addition,mathematical models of different devices involved in consumption,production and storage of energy are developed respectively,which provides a theoretical basis for energy management methods of residential MES.Secondly,based on the residential MES model,the relationship of electrical and thermal energy balance,and operational constraints are determined.Then the home energy optimization management problem for residential MES has been formulated as a mixed integer linear programming(MILP)model.Considering the prediction uncertainty and user events,an optimal energy management method based on MPC is proposed to reduce the impact of load forecasting errors and handle dynamic user event requests.The simulation results show that the proposed method can achieve coordinated and optimal management of different devices,significantly reduce energy cost.Compared with the traditional dayahead scheduling method,it can achieve near real-time energy management under uncertain environment,with higher robustness and more extensive applicability.Finally,the energy management methods for prosummer community is studied in this paper.An autonomous energy community model based on energy contract is proposed,and its technical roadmap is discussed.The model is based on a bottom-up architecture and makes internal energy transactions according to consensus rules of energy contracts,which provides a novel idea for community energy management.As a distributed transaction protocol,energy contracts will be used as a membership identification of cooperatives and determining the transaction rules of members.Furthermore,an energy contract based on Shapley value is proposed and implemented,which is a profit distribution plan to allocate the benefits from cooperation among members and forms an internal pricing mechanism based on the internal market.In order to verify the validity of the proposed model,three case studies of independent and cooperative model under time-of-use pricing scheme are conducted.The simulation results show that the proposed model can yields a significant reduction in terms of electricity cost through internal transactions,a price-driven coordination mechanism is formed by the proposed energy contract,and without centralized coordination control,shows the positive characteristics of being friendly and beneficial to power grids.