Power Load Optimal Dispatching Based On Demand Side Management

With the economic and social development,global energy demand has gradually increased,and energy shortages and environmental problems have become increasingly apparent.This has become a common problem faced by all human beings.In order to achieve the goal of more secure,reliable,economical,efficient,and environmentally friendly power systems,the research on Demand Side Management(DSM)is rapidly developing.It aims to promote the two-way interaction of information flow and energy flow,guide the demand side load more reasonably,and encourage the demand side load to participate in the optimal dispatch operation of the power grid.It is of great significance for alleviating energy shortages,promoting the economic operation of the power grid,promoting the absorption of renewable energy,and achieving energy conservation and emission reduction.Firstly,from the perspective of smart grid,the meaning and function of power demand-side management are introduced,and the main purpose and technical means are analyzed in detail.Then the load characteristics modeling under power demand-side management system is performed.The typical two types of loads are selected as the object of this study: residential load and industrial load.In the optimization of load economy,the independent and flexible residents load is selected as the research object,and an intelligent household electricity consumption model is established.Under the guidance of time-of-use electricity price,the model is optimized with the goal of improving economy.The simulation results show that the model and optimization strategy can effectively reduce the electricity cost of residents and improve the economical efficiency of residents' electricity consumption.According to the current policy on distributed photovoltaic grid-connected systems in China,a home photovoltaic grid-connected and load-coordinated optimization simulation model is established.The goal is to optimize the overall efficiency of purchasing electricity and selling electricity.And the simulation results show that the model and optimization strategy can increase residents' comprehensive income from purchasing electricity and selling electricity,to save electricity and increase revenue.In the comprehensive optimization of complex multi-coupling loads and multi-energy sources,the industrial load is selected as the research object.According to the industrial electrolytic aluminum production process,a load model is constructed,involving pre-relationship constraints,strong-dependency constraints,synchronized-startup constraints,etc.The model is optimized with the goal of improving economy and reducing the load curve volatility,and then a dual-objective optimization model is established.The model and optimization strategy can take into account both the goal of optimization,to obtain the optimal solution of the comprehensive optimization goal.For the problem of the absorption of new energy,an integrated optimization model that takes into account industrial loads and small pumped-storage power stations is established to match the integrated load curve with the new energy output curve,and to promote the absorption of new energy.The simulation results show that the model and optimization strategy can promote the joint optimal scheduling of load,pumping storage power station and new energy sources,and the new energy consumption rate is improved.