Abstract

The operation process of the aggregator mainly includes the integration of customer demand response (DR) resources, optimal market bidding and settlement process, during which the aggregator could earn the price difference between the electricity market and customers. Formulating a reasonable bidding strategy and better utilizing its available DR resources are the keys to maximize the profit of the aggregator. To this end, firstly, this paper proposes an optimal bidding strategy in the day-ahead market for the aggregator considering energy storage (ES) devices and a DR resource: load reduction of customers, both the charge/discharge control strategy of the ES and the load reduction scheme could be obtained. Secondly, the effects of different number of batteries the aggregator controls and different market price scenarios on the bidding strategy are discussed using the dataset from the Thames valley vision (TVV). The results show that: 1) the aggregator could maximize its profit through the designed optimal bidding strategy; 2) the peak-to-valley difference of the system is significantly reduced owning to the load reduction of customers and the ES, which is imperative to maintain the stability of power system.

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