IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i17p5525-d628999.html
   My bibliography  Save this article

Optimal Dispatching of Integrated Electricity and Heating System with Multiple Functional Areas Considering Heat Network Flow Regulation

Author

Listed:
  • Xueyan Wu

    (Polytechnic Institute, Zhejiang University, Hangzhou 310015, China)

  • Qun Zhang

    (Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China)

  • Changming Chen

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zesen Li

    (Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China)

  • Xiaojun Zhu

    (Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China)

  • Yuge Chen

    (Polytechnic Institute, Zhejiang University, Hangzhou 310015, China)

  • Weiqiang Qiu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Li Yang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zhenzhi Lin

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

The integrated electricity and heating system (IEHS) can satisfy the diversified energy demand and improve energy efficiency through electro-thermal synergy and complementarity, which is beneficial for energy transformation and global climate governance. To reduce the operation cost, renewable energy source (RES) abandonment, and purchased electricity of IEHS, an optimal dispatching method of IEHS with multiple functional areas considering the flow regulation of the heat network is proposed. Firstly, the functional area of IEHS is classified and the functional area’s load characteristics are analyzed. Secondly, a heat network model considering refined resistance and dynamic characteristics is constructed and the operation regulation modes of the heat network are analyzed. Thirdly, an optimal dispatching model of IEHS with multiple functional areas considering heat network flow regulation is established to minimize the operation cost of IEHS with multiple functional areas while considering the penalty cost of RES abandonment and time-of-use electricity price. Finally, a certain region in China is taken as a case study to verify the effectiveness of the proposed optimal dispatching model. The case study shows that the quality regulation mode of the heat network considering flow change in multiple stages can effectively reduce RES abandonment by 2.4%, purchased electricity by 5.4%, and the system operation cost by 1.7%. In addition, compared with the independent dispatching of each functional area, the joint dispatching of IEHS with multiple functional areas can reduce the amount of RES abandonment by 95.2% and purchased electricity by 66.5%, and lower the operation cost of IEHS by 23.6%.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5525-:d:628999
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/17/5525/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/17/5525/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. He Huang & DaPeng Liang & Zhen Tong, 2018. "Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands," Energies, MDPI, vol. 11(10), pages 1-20, October.
    3. M. M. Sarafraz & Mohammad Reza Safaei & Zhe Tian & Marjan Goodarzi & Enio Pedone Bandarra Filho & M. Arjomandi, 2019. "Thermal Assessment of Nano-Particulate Graphene-Water/Ethylene Glycol (WEG 60:40) Nano-Suspension in a Compact Heat Exchanger," Energies, MDPI, vol. 12(10), pages 1-17, May.
    4. Bo Tang & Gangfeng Gao & Xiangwu Xia & Xiu Yang, 2018. "Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction," Energies, MDPI, vol. 11(11), pages 1-18, November.
    5. Chen, Changming & Wu, Xueyan & Li, Yan & Zhu, Xiaojun & Li, Zesen & Ma, Jien & Qiu, Weiqiang & Liu, Chang & Lin, Zhenzhi & Yang, Li & Wang, Qin & Ding, Yi, 2021. "Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages," Applied Energy, Elsevier, vol. 302(C).
    6. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    7. Yang Chen & Yao Zhang & Jianxue Wang & Zelong Lu, 2020. "Optimal Operation for Integrated Electricity–Heat System with Improved Heat Pump and Storage Model to Enhance Local Energy Utilization," Energies, MDPI, vol. 13(24), pages 1-23, December.
    8. Ashfaq, Asad & Ianakiev, Anton, 2018. "Investigation of hydraulic imbalance for converting existing boiler based buildings to low temperature district heating," Energy, Elsevier, vol. 160(C), pages 200-212.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fausto Pedro García Márquez, 2022. "Advanced Analytics in Renewable Energy," Energies, MDPI, vol. 15(10), pages 1-5, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    2. Zhou, Suyang & Zhuang, Wennan & Wu, Zhi & Gu, Wei & Zhan, Xin & Liu, Zhong & Cao, Siming, 2020. "Optimized scheduling of multi-region Gas and Power Complementary system considering tiered gas tariff," Energy, Elsevier, vol. 193(C).
    3. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Day-ahead bidding strategy of regional integrated energy systems considering multiple uncertainties in electricity markets," Applied Energy, Elsevier, vol. 348(C).
    4. Yamano, Shuhei & Nakaya, Takashi & Ikegami, Takashi & Nakayama, Masayuki & Akisawa, Atsushi, 2021. "Optimization modeling of mixed gas engine types with different maintenance spans and costs: Case study OF CCHP to evaluate optimal gas engine operations and combination of the types," Energy, Elsevier, vol. 222(C).
    5. Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
    6. Wang, Yang & Zhang, Shanhong & Chow, David & Kuckelkorn, Jens M., 2021. "Evaluation and optimization of district energy network performance: Present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    7. Wang, Yongli & Li, Jiapu & Wang, Shuo & Yang, Jiale & Qi, Chengyuan & Guo, Hongzhen & Liu, Ximei & Zhang, Hongqing, 2020. "Operational optimization of wastewater reuse integrated energy system," Energy, Elsevier, vol. 200(C).
    8. Chunyi Wang & Fengzhang Luo & Zheng Jiao & Xiaolei Zhang & Zhipeng Lu & Yanshuo Wang & Ren Zhao & Yang Yang, 2022. "An Enhanced Second-Order Cone Programming-Based Evaluation Method on Maximum Hosting Capacity of Solar Energy in Distribution Systems with Integrated Energy," Energies, MDPI, vol. 15(23), pages 1-19, November.
    9. Zhang, Menglin & Wu, Qiuwei & Wen, Jinyu & Pan, Bo & Qi, Shiqiang, 2020. "Two-stage stochastic optimal operation of integrated electricity and heat system considering reserve of flexible devices and spatial-temporal correlation of wind power," Applied Energy, Elsevier, vol. 275(C).
    10. Milana Treshcheva & Irina Anikina & Vitaly Sergeev & Sergey Skulkin & Dmitry Treshchev, 2021. "Selection of Heat Pump Capacity Used at Thermal Power Plants under Electricity Market Operating Conditions," Energies, MDPI, vol. 14(1), pages 1-25, January.
    11. 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.
    12. Li, Yang & Wang, Bin & Yang, Zhen & Li, Jiazheng & Chen, Chen, 2022. "Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game," Applied Energy, Elsevier, vol. 308(C).
    13. Vandermeulen, Annelies & Van Oevelen, Tijs & van der Heijde, Bram & Helsen, Lieve, 2020. "A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks," Energy, Elsevier, vol. 201(C).
    14. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    15. Qin, Xin & Sun, Hongbin & Shen, Xinwei & Guo, Ye & Guo, Qinglai & Xia, Tian, 2019. "A generalized quasi-dynamic model for electric-heat coupling integrated energy system with distributed energy resources," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    16. Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
    17. Yi, Liqi & Li, Tao & Zhang, Ting, 2021. "Optimal investment selection of regional integrated energy system under multiple strategic objectives portfolio," Energy, Elsevier, vol. 218(C).
    18. Yu, Haiquan & Zhou, Jianxin & Si, Fengqi & Nord, Lars O., 2022. "Combined heat and power dynamic economic dispatch considering field operational characteristics of natural gas combined cycle plants," Energy, Elsevier, vol. 244(PA).
    19. Sun, Weijia & Wang, Qi & Ye, Yujian & Tang, Yi, 2022. "Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement," Applied Energy, Elsevier, vol. 305(C).
    20. Kong, Xiangyu & Sun, Fangyuan & Huo, Xianxu & Li, Xue & Shen, Yu, 2020. "Hierarchical optimal scheduling method of heat-electricity integrated energy system based on Power Internet of Things," Energy, Elsevier, vol. 210(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5525-:d:628999. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.