Research On Decision Making Model Of Demand Side Resource Aggregation Response In Electricity Market

In recent years,the rapid development of renewable energy generation in China,its intermittent fluctuations have brought great challenges to the sustainable development of the power system,and the problems of abandoning wind and photovoltaic power due to insufficient dispatchable resources have become prominent.It is difficult to continue the traditional scheduling model relying on "load following".The normal intergration of demand side flexible load resources into the operation of the power system has an urgent problem.With the rapid development of electricity market construction in China,market-oriented mechanisms to optimize the allocation of power resources will provide an important oppprtunity for the effective use of demand side flexible load resources.How to aggregate fragmented demand response resources and establish an operational response mechanism is a key issue in the construction of the electricity market.The subject takes the wholesale and retail electricity market as the research environment,the demand side resource as the research object,and aggregation resource modeling as the research basis.Through in-depth analysis in planning configuration,optimizing bidding and interactive response,the decision-making model of DRAE in the electricity market environment is systrmatically studied.The main work of the paper is as follows:1.The demand response resource aggregation model is established and a multi-time scale collaborative optimal scheduling decision-making model of DRAE is proposed.The concepts of DRAE are overview.By analyzing the operation and control characteristics of demand side resources,their aggregation model are modeled.A two-stage of day-ahead and intra-day collaborative optimal scheduling decision-making model of DRAE in the electricity market is proposed.The demand side resource aggregation response model established in this paper lays a research foundation for the subsequent study of its planning and allocation,optimization of bidding and interactive response decision-making model in the electricity market environment.2.A comprehensive optimization decision-making model of capacity configuration and ordered installation for distributed energy storage in demand side is proposed.Aiming at the planning and operation problems of distributed energy storage in orderly access to the distribution network,a two-level planning and configuration model of distributed energy storage in the distribution network was first established.The upper level aims at maximizing benefits considering the investment income of distribution network and the profit of distributed energy storage.The lower level aims at peak shifting and load volatility of distribution network considering charge/discharge characteristic and capacity limit of distributed energy storage.The two-level model combines long-term planning and short-term optimized operation.The validity and correctness of the proposed model is verified by test.The proposed decision-making model can be provided technical support for planning and auditing a large number of distributed energy storage system access to distribution network.3.A stochastic&robust decision-making model of optimal bidding for DRAE in the wholesale energy market is proposed.A general technical plan for DRAE to participate in market operation is established.The uncertainty of electricity prices are simulated typical random day-ahead price scenarios by K-means.The uncertainty of driving behaves of electric vehicles and ambient temperature of temperature-controlled loads are modeled using confidence bounds.Uncertainty of flexible load response are modeled using response willing coefficient simulation.The validity and correctness of the proposed decision model is verified by test.It provides decision-making basis for DRAE to participate in energy management of the electricity market and formulate bidding strategies.4.A bilevel interactive response decision-making model of DRAE to participate in retial electricity market.An interactive framework between DRAE and demand side customers is established.The price-based and incentive-based demand side resource aggregation model are established.The uncertainty of the wholesle energy electircity prices are modeled using confidence bounds.Considering the operational econmics of DRAE and demand side customers,a decision-making model based on the Stackelberg interactive game is proposed.Solve the Nash equilibrium set of interactive response decision-making model to optimize the prices and incentives of demand response programs.The win-win benfits of DRAE and demand side customers in the market interacion are realized.The decision-making model will help the DRAE improve its interactive response efficiency and provide auxiliary decision support.5.A tri-level interactive decision-making model of DRAE to participate in the electricity market is proposed.The research environment is the two-level markets of the wholesale energy market and retail electricity market.Considering the operating constraints and response characteristics of system operator,DRAE and demand side customers.The tir-level interactive decision-making model will be convert into two bilevel nonlinear optimization models,according to the two phases of the market time dimension:day-ahead and real-time.Solve the decision making model through KKT conditions and duality theory.The optimal response interaction strategy of the decision model is obtained,which provides the decision basis for DRAE to operate in the two-level electricity market.