Day-ahead Bidding Decision Optimization Model of Load Aggregators Considering Adjustable Potential of Residential Users
The load aggregator can fully excavate the potential for participating in residential user resource demand response,deepen the quantitative analysis on the adjustable potential of residential electricity consumption,and play an important role in precise load regulation and the intelligent promotion of load aggregator mode.Firstly,based on the differences in residential electricity load regulation,an analysis model for the adjustable potential of residential flexible loads is established by considering the comprehensive satisfaction measurement of typical household appliances.Then considering the operational mode of the load aggregators participating in market transactions,a non-cooperative game theory based day-ahead bidding decision optimization model is constructed.Finally,the effectiveness and applicability of the model are verified through a case simulation.The results indicate that the model can balance the regulatory potential,effectively support the optimal bidding decision of the load aggregators,and provide reference and guidance for the optimization and regulation of coordinated resources under the promotion of the load aggregators.