Stochastic robust optimal operation of community integrated energy system based on integrated demand response

In the context of the rapid development of the energy internet, the traditional power demand response has gradually expanded to an integrated demand response. Multiple energy sources such as electricity, gas, heating, and cooling, are coupled and coordinated in integrated energy system, which is conducive to improving comprehensive energy utilization efficiency and providing more opportunities for the demand side to participate in system optimization. This paper focuses on the optimal operation of community integrated energy system (CIES). From the perspective of demand response, the horizontal complementary substitution and vertical time shift strategy of electric-gas-heating-cooling are introduced based on the interactive response characteristics analysis of multiple energy loads, and the cooperative complementarity and flexible transformation of multiple energy sources are taken into account to establish a stochastic robust optimal operation model of CIES based on integrated demand response. In this paper, a mixed-integer linear programming method is applied to solve the model, and the simulation results show that the proposed method can effectively reduce the operation costs and promote a balance between energy supply and demand while further tapping the potential of the energy demand side and achieving the economical, flexible and efficient operation of community integrated energy system.

Automated summary

This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.