An Aggregator Contract Capacity Optimization Strategy Based on Air Conditioning Behaviors' Uncertainty Modeling

摘要: Air conditioning system has flexibility potential to some degree. However, there exist uncertainties during demand response. This paper adds deviation of indoor temperature the typical equivalent thermal parameters model and establishes air considering uncertainty. In this paper, aggregators participate in day-ahead scheduling power as response resources. The optimal strategy contract capacity is proposed aiming at maximizing profits aggregators. It shown case study that will increase if behavior uncertainty taken into account beforehand.