Research On Optimal Control For Domestic Energy System With DG And Storage Based On Time-of-Use Price

With the rapid development of economy in our country,the increasing electricity demand deeps the contradiction between supply and demand during peak periods,and makes it urgent for the government to solve the problems of a huge power supply gaps,increasing of peak load.Therefore,in order to ensure the stability of grid and improve the efficiency of the electricity market,the demand response program become an important direction for future development of smart grid in consumer side.As consumer side is an integral part in the electricity planning,its energy distribution and electricity cost has important influence on the social economics.Bilateral interaction of power flow and information flow between electricity grid and residents is needed because of new requirement of information and service,and widespread use of new energy sources.According to the problem for the residents about participation in a demand response program,focusing on optimization problem of both domestic power dispatching level and home appliance scheduling level,the research works in this paper as follows:The definition and classification of demand response are introduced detailedly in this paper,and analyzes the applicability of the demand side resource which involved in demand response.Secondly,this paper studied the feasibility of the residents participate in demand response from response mode,response cost and responsiveness.Example analysis prove that optimizing strategy can improve economic efficiency and alleviating the social electricity pressure.Based on the time-of-use electricity tariff,and took the cost and the comfort into account,this paper formulate a residential uninterrupted load optimization model.The purpose of this model is to minimize the cost and maximize consumer's comfort,and use the Yalmip toolbox and the SCIP solver in the OPTI toolbox with inconvenience cost coefficient to solve it.This paper also analyzed the influence on the calculation result when setting different inconvenience cost coefficient.In the practical application,consumers can choose varying inconvenience cost coefficient according to their preferences.The simulation results show that the model is feasible and effective,which provides a new idea for the optimal schedule of household appliances.Demand side resources have been able to participate in the domestic energy dispatch.This paper consider DG and BESS,then present a framework of domestic multi-energy complementary system.Control system model combining both power dispatching level and home appliance scheduling level are proposed to minimize the residents' energy cost and energy consumption from the grid with the practical constraints strictly satisfied.The trade-off among operating cost energy consumption and inconvenience is considered and a multi-objective optimization problem is formulated.The optimal control strategies are derived by solving a mixed-integer nonlinear programming problem.Simulation results show that energy cost and energy consumption from the grid can be largely reduced with the proposed strategies by considering DG and battery,and also realize the peak load shaving,and guides reasonable smart electricity-using.