Demand response is a way to increase grid flexibility.In the context of the electricity market,in order to maximize the response potential of the load side,it is necessary to manage a large number of distributed DR resources through load aggregators.The article proposes an optimized bidding strategy model for load aggregators participating in the electricity market,attempting to find the optimal bidding strategy for load aggregators.Load aggregators are considered as bidders in the electricity spot market,and this bidding strategy involves combining reducible and flexible loads for daily and real-time trading.The uncertainty of market prices and load balance during bidding can be predicted through historical data.This model simulates a two-level stochastic mathematical programming model back into a mixed integer linear programming model.Finally,several cases are used to demonstrate the predictive effect of the model.
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