Optimal scheduling of regional integrated energy system considering multiple uncertainties and integrated demand response

The regional integrated energy system (RIES) is the main direction of the future development of the energy system. However, with the abundant renewable energy sources connecting to the RIES and the diversification of loads, the multiple uncertainties will have an inevitable impact on the operation of the RIES. Aiming at the above problems, this paper proposes a RIES optimization model that considers multiple uncertainties, multi-energy coupling and integrated demand response (IDR). Firstly, a RIES optimization model including renewable en-ergy, upper grid, coupling devices, energy storage equipment, electric vehicles (EVs) and electrical, heating, and cooling load is introduced. Then, by comparing and analysing the mathematical characteristics of the uncertainty of source and load, the robust optimization (RO) is used to model the uncertainty of source and the stochastic optimization (SO) is used to describe the uncertainty of load. Finally, the proposed model is validated with the actual RIES. The results are compared with different cases which show that the proposed model of RIES considering multiple uncertainties and multi-energy coupling can effectively ensure the cooperative operation of the RIES and improve the reliability and economy of the RIES.

Automated summary

This paper proposes an optimization model for the regional integrated energy system (RIES) that considers multiple uncertainties, multi-energy coupling, and integrated demand response (IDR). The model includes renewable energy, upper grid, coupling devices, energy storage equipment, electric vehicles (EVs), and electrical, heating, and cooling loads. By comparing and analyzing the mathematical characteristics of the uncertainty of sources and loads, the robust optimization (RO) is used to model the uncertainty of sources, and the stochastic optimization (SO) is used to describe the uncertainty of loads. The proposed model is validated with an actual RIES, and the results demonstrate that the RIES model considering multiple uncertainties and multi-energy coupling can effectively ensure the cooperative operation of the RIES and improve its reliability and economy.