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Coordinated Flexibility Scheduling for Urban Integrated Heat and Power Systems by Considering the Temperature Dynamics of Heating Network

Author

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  • Wei Wei

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Yaping Shi

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Kai Hou

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Lei Guo

    (State Grid (Suzhou) City & Energy Research Institute, State Grid Energy Research Institute Co., Ltd., Beijing 102209, China)

  • Linyu Wang

    (State Grid (Suzhou) City & Energy Research Institute, State Grid Energy Research Institute Co., Ltd., Beijing 102209, China)

  • Hongjie Jia

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China)

  • Jianzhong Wu

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Chong Tong

    (State Grid Corp China, Jiangsu Elect Power Co., Ltd., Suzhou 215007, China)

Abstract

The coordinated heat-electricity dispatch of the urban integrated energy system (UIES) helps to improve the system flexibility, thereby overcoming the adverse effects caused by the random fluctuations of renewable energy (RE) and promoting the penetration of RE. Among them, the dynamic characteristics of the urban heat network (UHN) are important features that need to be considered for the operating scheduling of the UIES. This paper aims to establish a flexibility scheduling model for UIES based on the dynamic characteristics of the UHN. First, the typical structure and key equipment model of the urban integrated heat and power system (UIHPS) with the dynamic characteristics of the UHN is proposed. Then, the definition and model of the UIHPS flexibility and the assessment index of the flexibility are developed. Moreover, a flexibility scheduling model for a UIHPS that considers the dynamic characteristics of a UHN is established. Finally, the validity of the proposed model is validated by case studies, and the applicability of flexibility scheduling and the effect of heat load (HL) are analyzed.

Suggested Citation

  • Wei Wei & Yaping Shi & Kai Hou & Lei Guo & Linyu Wang & Hongjie Jia & Jianzhong Wu & Chong Tong, 2020. "Coordinated Flexibility Scheduling for Urban Integrated Heat and Power Systems by Considering the Temperature Dynamics of Heating Network," Energies, MDPI, vol. 13(12), pages 1-23, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3273-:d:375980
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    References listed on IDEAS

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    Cited by:

    1. Wei Wei & Yusong Guo & Kai Hou & Kai Yuan & Yi Song & Hongjie Jia & Chongbo Sun, 2021. "Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics," Energies, MDPI, vol. 14(10), pages 1-34, May.
    2. Xueyan Wu & Qun Zhang & Changming Chen & Zesen Li & Xiaojun Zhu & Yuge Chen & Weiqiang Qiu & Li Yang & Zhenzhi Lin, 2021. "Optimal Dispatching of Integrated Electricity and Heating System with Multiple Functional Areas Considering Heat Network Flow Regulation," Energies, MDPI, vol. 14(17), pages 1-24, September.

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