Integrated energy system model with multi-time scale optimal dispatch method based on a demand response mechanism

Abstract

A flexible integrated energy system (IES) can curb the supply–demand imbalances caused by renewable energy and load uncertainty. This study proposes an IES model based on a demand response mechanism and a multi-time-scale optimization scheduling method with the aim of fully utilizing its flexibility. Specifically, the demand response strategy of electric heating/cold complementary substitution and horizontal time shifting was introduced at different stages of dispatch to enhance the flexible dispatching capability of the IES. Furthermore, the contribution of thermal inertia of pipes in resisting supply and demand uncertainties and reducing thermoelectric coupling was considered. On this basis, the time resolution was determined according to the adjustment rates of the different components, and a multi-timescale optimal scheduling method was developed. The quantum sparrow search algorithm was applied to solve the proposed model, and the optimal scheduling strategy of the system was obtained. Results revealed that, from an environmental perspective, the amount of wind and light abandonment was reduced by 89.71%, thereby increasing the penetration of renewable energy and promoting carbon neutrality. From an economic perspective, the daily operating cost decreased by 1380 yuan/day, effectively improving the operational costs of the IES. From a reliability perspective, thermal inertia of networks reduced the intensity of thermoelectric coupling and increased the flexibility of IES dispatching, curbing the uncertainties in renewable energy and loads during system operation.