Research on optimal operation strategy of load aggregator considering energy data transaction

Abstract

In the power market, the load aggregator can reasonably allocate resources, but it is difficult for the load aggregator to obtain the detailed data of the user side, which hinders the formulation of operation strategies. The market-oriented transaction of data is an important way to meet data supply and demand, and can promote data interconnection. This paper introduces energy data trading into the operation strategy of load aggregators. First, a load aggregator operation architecture considering energy data transactions is constructed; Secondly, a differentiated data pricing method is developed for power load and photovoltaic output data; Finally, with the goal of maximizing the daily profit of load aggregators, an optimized operation model of load aggregators considering energy data transactions is constructed. The simulation results show that under the scenario of energy data transaction, the load aggregator improves the prediction accuracy of load and PV output through data transaction, thereby effectively reducing the real-time power purchase cost and maximizing the daily profit, thus verifying the effectiveness of this strategy.