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Optimal Scheduling of Thermoelectric Coupling Energy System Considering Thermal Characteristics of DHN

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  • Guangdi Li

    (College of Information Science and Engineering, Northeastern University, Wenhua Road, NO. 3-11, Shenyang 110819, China
    Key Laboratory of Integrated Energy Optimization and Secure Operation of Liaoning Province, Northeastern University, Shenyang 110819, China)

  • Qi Tang

    (State Grid Jibei Electric Power Co. Ltd., Tangshan Power Supply Company, Jianshe Road, NO. 7, Tangshan 063000, China)

  • Bo Hu

    (State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China)

  • Min Ma

    (State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China)

Abstract

In a thermoelectric coupling energy system, renewable energy is often curtailed by the uncertainty of the power generation. Besides, the integration of renewable energy is restricted by the inflexible operation of combined heat and power units due to the strong coupling relationship between power generation and heating supply, especially in winter. Utilization of the district heating network, a heat storage feature, is a cost-effective measure to improve the overall system operational flexibility. In this paper, a new heat characteristic index is proposed in a district heating system, which is applied to measure the impact of the flexibility of combined heat and power units’ output. Furthermore, in order to increase the reliability of an electric power system, a probabilistic model of combined heat and power units’ spinning reserves capacity related to confidence level K is established. What is more, the two indexes K and thermal characteristic index have a coupled relationship. In addition, for model solving methodology, the discretized step transformation and constant mass flow and variables temperature method is adopted to transform the non-linear system model into linear programming form. Case studies are carried out to show the linkage between system costs, K and thermal characteristic index. The optimal result can achieve balance among the system reliability, flexibility and economy.

Suggested Citation

  • Guangdi Li & Qi Tang & Bo Hu & Min Ma, 2022. "Optimal Scheduling of Thermoelectric Coupling Energy System Considering Thermal Characteristics of DHN," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9764-:d:883002
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    References listed on IDEAS

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