Allocation Method for Regional Flexible Loads to Support Long-term Enerty Trading with Carbon Footprint

With the increasing number of regional demand response loads, the utilization of flexible resources has become a new research hotspot. This paper proposes a flexible load aggregation optimization configuration method to integrate large scale demand response loads with carbon footprint labels. Firstly, the flexible load models of electric vehicle (EV), air conditioning (AC) and lighting system are established. Secondly, a load aggregation model is established to aggregate different types and characteristics of flexible loads. Finally, this paper optimizes the configuration of the aggregations and selects the aggregators according to the priority of the demand scenario. The case study verifies that the optimal configuration method of aggregators avoids the separate processing of each load to reduce the solution time and the cost of aggregators, as well as the carbon emission.