Research On Demand Response Incentive Optimization Strategy Considering User Uncertainty

With the continuous improvement of China electricity market mechanism and the rapid development of the energy Internet,demand response,as an advanced demand-side management technology,can enable users to participate in grid peak shaving,stable fluctuations in renewable power generation,and other ancillary service based on price or incentive signals.However,during the implementation of the demand response project,affected by the user’s own wishes and communication equipment,the user’s actual response to incentives or price signals is often subject to greater uncertainty,and the adjustment of power consumption cannot achieve the desired effect.Therefore,the demand response optimization strategy that considers the uncertainty of user response affects the design can set the threshold in advance to reduce the estimated deviation and be closer to the actual situation,reduce the waste of power resources,and optimize the resource allocation.This paper mainly studies the real-time incentive optimization strategy of microgrid participation in demand response considering the uncertainty of user response.Firstly,it analyzes the demand response mechanism based on incentives and the uncertainty of user response under the influence of different incentive levels,and constructs an optimized scheduling scenarios suitable for both microgrid-connected and independent scenarios;secondly,the Markov decision process is used to map the uncertain process of user power state transition,and the multi-period coupling incentive optimization strategy is formulated in the grid-connected situation;in the independent microgrid based on new energy power supply,the improved cloud model is used to describe the user’s acceptance of different incentives,and the real-time incentive optimization strategy of independent microgrid is proposed;finally,verified the feasibility of the strategy proposed in this paper through simulation analysis.The strategies achieve the goal of integrating demand-side resources,coordinating distributed energy,energy storage equipment and load resources,and forming complementary resource advantages,improving the utilization rate of renewable energy,and maximizing the benefits of both users and microgrid operators.