A two-stage scheduling method for aggregators based on transactive control

In this chapter, a two-stage optimal scheduling scheme based on transactive control is proposed for the aggregators to manage day-ahead electricity procurement and real-time electric demand management to minimize the total operating cost. The day-ahead electricity procurement considers both the day-ahead energy cost and the expected real-time operation cost. A robust scheme is proposed to hedge the risk in the scheduling. In the real-time charging management, the cost of employing the flexibility from customers of the aggregator is explicitly modeled in the proposed scheme. The aggregators are supposed to apply a transactive energy-based method to manage the real-time demand to cope with the real-time pricing signals. A real-time operation model is proposed for the aggregator to determine the clearing price in the transactive energy scheme. The real-time demand of the customers is determined by the clearing prices in the proposed transactive scheme according to the real-time demand and preferences of the customers. As such, the aggregators’ decisions in the first and second stages can be optimized. Meanwhile, the demand requirements and response preferences of the customers are respected by the management strategies.