Research on the Operation Optimisation of Integrated Energy System Based on Multiple Thermal Inertia

Huiqiang Zhi, Min Zhang, Xiao Chang, Rui Fan, Huipeng Li, Le Gao and Jinge Song ()
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Huiqiang Zhi: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Min Zhang: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Xiao Chang: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Rui Fan: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Huipeng Li: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Le Gao: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China
Jinge Song: State Grid Shanxi Electric Power Company Electric Power Research Institute, Taiyuan 030001, China

Energies, 2025, vol. 18, issue 13, 1-33

Abstract: Addressing the problem that energy supply and load demand cannot be matched due to the difference in inertia effects among multiple energy sources, and taking into account the thermoelectric load, this paper designs a two-stage operation optimization model of IES considering multi-dimensional thermal inertia and constructs an intelligent adaptive solution method based on a time scale-model base. Validation is conducted through an arithmetic example. Scenario 2 has 15.3% fewer CO 2 emissions than Scenario 1, 19.7% less purchased electricity, and 20.0% less purchased electricity cost. The optimal algorithm for the day-ahead phase is GA, and the optimal algorithm for the intraday phase is PSO, which is able to produce optimization results in a few minutes.

Keywords: integrated energy system; operation optimization; multiple thermal inertia; hybrid energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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