Optimization of Demand Response Packages Based on High Flexibility and Adjustable Characteristics of Load Side

Abstract

Under the background of the deepening reform of power market, load aggregators can aggregate adjustable flexible load resources to participate in the market, which can effectively alleviate the problem of power supply resource shortage. However, how to select the aggregation object and how to design the demand response package are urgent problems for load aggregators. This paper first evaluates the potential of load demand response and conducts user clustering based on its potential. Combined with the theory of cloud model, the evaluation level of user demand response ability is constructed, and the aggregated user object is further selected. Secondly, considering that the load aggregator supplies power to the user, the power can be purchased from the grid or generated by itself, the load aggregator - user two-layer model is established considering the adjustable characteristics of the load. Then through KKT condition analysis, the two-layer model is transformed into a single-layer model, and Gurobi solver is invoked to optimize the solution. Finally, an example shows that the model can optimize the demand response packages for load aggregators and soften the user side load demands.