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Integrated energy system modeling and optimal scheduling strategy for supply and demand side resource flexibility

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  • Hu, Chunbin
  • Wang, Honglei
  • Li, Chengjiang

Abstract

The uncertainty of renewable energy (RES) and load has aggravated the mismatch between supply and demand in the power system, seriously affecting the stability of the power supply. Firstly, it proposes a “source-grid-load-storage” multi-energy complementary integrated energy system (IES) model. It combines the coordination and complementarity of different energy types, the flexible adjustment capability of flexible loads, and the charging and discharging characteristics of energy storage systems (ESS), thereby improving the matching degree between supply and demand and maximizing the absorption capacity of RES. Secondly, a two-layer optimization framework is designed, and a spatial calculation method for the up/down adjustment of flexible resources on the supply side is proposed, combined with demand response (DR) to dispatch flexible loads. Finally, the flexibility of resource scheduling on both sides is used to optimize each component's capacity configuration and operation strategy to maximize the flexibility of IES resource scheduling and reduce the comprehensive operating cost (COC). The simulation results show that from an environmental perspective, the IES has a high RES utilization rate of 99.86 % in summer and reduces the amount of wind and solar power curtailment by 13.9 % in winter. From an economic perspective, the COC in summer and winter is reduced by ¥3282.94/day and ¥2353.6/day, respectively. Regarding reliability, the proposed IES model effectively suppresses the uncertainty of RES and load during system operation and improves the reliability of the power supply.

Suggested Citation

  • Hu, Chunbin & Wang, Honglei & Li, Chengjiang, 2026. "Integrated energy system modeling and optimal scheduling strategy for supply and demand side resource flexibility," Renewable Energy, Elsevier, vol. 256(PC).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pc:s0960148125017379
    DOI: 10.1016/j.renene.2025.124073
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