Stochastic optimal dispatch of combined heat and power integrated AA-CAES power station considering thermal inertia of DHN

Abstract

In order to improve the peak shaving capability of combined heat and power system and cope with uncertainties, a stochastic optimal dispatch model of combined heat and power system integrated Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) power station considering the thermal inertia of District Heating Network (DHN) is proposed in this paper. The proposed model has the following characteristics: 1) AA-CAES power stations are configured in combined heat and power system, i.e., AA-CAES can supply both power and heat to the system, and the linearized model of AA-CAES power stations is established in this paper; 2) considering the thermal inertia of heating pipelines and buildings, the DHN model is established; 3) in order to deal with uncertainties in the system, the stochastic optimal (SO) dispatch model is established. The case study shows that compared with AA-CAES power stations which only provides power for the system, the combined heat and power supply of AA-CAES power stations can reduce the operation cost and the wind power curtailment. The thermal inertia of DHN cause the time shift of heat load, which effectively improves the operation flexibility of the combined electric-thermal system. In addition, configuring AA-CAES power station and considering the thermal inertia of DHN can enhance the ability of the system to cope with uncertainties.