Author(s)

WenJin Zhang^1*, Geigeicao Qiao², Yu Li¹, Qi Chen¹, Jian Yan¹

Affiliation(s)

¹State Grid Gansu Electric Power Company Jinchang Power Supply Company, Jinchang 737100, Gansu, China.

²Datang Xinjiang Power Generation Co., Ltd. Southern Xinjiang Branch, Wulumuqi 830000, Xinjiang, China.

Corresponding Author

WenJin Zhang

ABSTRACT

With the increasing global emphasis on low-carbon development, integrated energy systems (IES) plays a pivotal role in optimizing energy utilization and reducing carbon emissions. Gas-thermal inertia refers to the energy storage and release characteristics exhibited by gas and thermal energy during transmission and conversion processes. This not only affects the dynamic balance of energy but also poses higher requirements for scheduling optimization.Meanwhile, carbon trading and green certificate trading mechanisms serve as crucial tools for balancing environmental protection and economic benefits. This paper establishes an IES low-carbon economic dispatch model that considers gas-heat inertia, and employs an improved particle swarm optimization algorithm for solving it.Finally, taking a power system in a certain region with a high proportion of renewable energy as a case study, the results show that operating the power system considering gas-thermal inertia can significantly improve the operational economy of the system, optimize the electricity prices in the power market, and enhance the earnings from green certificates and carbon trading.

KEYWORDS

Carbon trading; Green certificate; Power system; Gas and Thermal Inertia

CITE THIS PAPER

WenJin Zhang, Geigeicao Qiao, Yu Li, Qi Chen, Jian Yan. Low-carbon optimization scheduling strategy for integrated energy system considering gas and thermal inertia. Journal of Computer Science and Electrical Engineering. 2026, 8(1): 48-56. DOI: https://doi.org/10.61784/jcsee3117.

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