Multi-time scale low carbon operation integrated energy system considering multiple integrated demand responses

Abstract

In order to tap the response potential of demand-side resources, a multi-time scale low carbon scheduling strategy for the integrated energy system (IES) with multiple demand responses is proposed. First of all, considering the difference in response of demand-side resources at different time scales, a multiple integrated demand response (IDR) model considering price and incentive is established. Secondly, in order to reduce the impact of source and load forecasting errors on the operation of IES, the day-ahead low carbon economic scheduling model and the intra-day double-time-scale rolling optimization flattening model are constructed respectively. Finally, different scenarios are set up for comparative analysis in the simulation of a numerical example. The results show that compared with traditional IDR, the multiple IDR can effectively tap user response potential and improve system economy. In addition, the multi-time scale scheduling strategy taking into account IDR can effectively alleviate the power fluctuation caused by the source and load error and reduce the carbon emissions of the system, so as to realize the low carbon, economic and stable operation of IES.

Keywords

• integrated energy system (ies)
• integrated demand response (idr)
• hydrogen energy
• multi-time scale
• low carbon optimization
• difference in response