Research On IGDT-based Load Aggregator Market Transaction Optimization Strategy

With the rapid development of demand response technology,the role of small and medium-sized load resources has gradually become prominent,which plays an obvious role in stabilizing the power grid.However,some small and medium-sized loads are often difficult to participate in demand due to their small capacity,large dispersion,and low load elasticity.response.A load aggregator is an institution that integrates small and medium-sized demand-side response resources to participate in market transactions through demand response technology.When participating in market transactions,it will be exposed to risks caused by uncertain factors such as real-time electricity prices in the electricity market and wind and solar output.Because of the attitude of each load aggregator to risk,it will bring problems and challenges for the load aggregator to formulate its own market transaction optimization strategy.Therefore,this article aims to carry out a research on the trading optimization strategies of load aggregators with different risk attitudes participating in the market under uncertain factors based on the theory of information gap decision-making.The main research contents are as follows:First,it briefly summarizes the current research status of load aggregators’ participation in demand response,power market and integrated energy market,and describes in detail the principle and application of information gap decision theory.Secondly,with the goal of minimizing the operating cost of load aggregators participating in power market purchases and providing auxiliary services in response to grid peak shaving demand plans,a deterministic model for load aggregators’ day-a-day power purchase decisions was established.Considering the uncertainty of wind power output and real-time electricity price,this paper adopts the random scenario planning method to deal with the uncertainty of the former.The information gap decision-making theory is introduced to deal with the uncertainty of the latter,and the deterministic model is transformed into a day-a-day power purchase decision-making model of load aggregators under two different risk attitudes: risk aversion and risk pursuers.Finally,according to the case study,the day-ahead power purchase optimization strategy of load aggregators under different risk attitudes was obtained.Next,build the electricity-gas joint market mechanism,with the goal of minimizing the annual cost of the comprehensive load aggregator,and establish the optimal allocation model of the comprehensive load aggregator’s energy storage under the market mechanism.In view of the uncertainty of real-time electricity and gas prices in the electricity-gas market,the information gap decision theory is introduced,and two integrated load aggregator energy storage optimization models with different risk attitudes are obtained.Through the analysis of the calculation examples,the energy storage capacity configuration of the comprehensive load aggregator under different risk attitudes and the corresponding electricity/gas purchase and sales strategies are obtained;and the influence of the electricity price and gas price of different days on the energy storage configuration and the different energy storage configurations are analyzed.The impact of the plan on the economics of the integrated load aggregator.Finally,the research content of this article is summarized,and the direction of future research load aggregators to participate in the market transaction optimization strategy is pointed out.