IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v313y2024ics0360544224034674.html
   My bibliography  Save this article

Optimal scheduling strategy with integrated demand response based on stepped incentive mechanism for integrated electricity-gas energy system

Author

Listed:
  • Duan, Jiandong
  • Tian, Qinxing
  • Liu, Fan
  • Xia, Yerui
  • Gao, Qi

Abstract

The continued promotion of diversified energy utilization has put forward higher requirements for the regulation ability of integrated energy systems. The flexible ability of demand side resources makes it an important means of regulating energy utilization efficiency. However, the current demand response economic compensation standards mostly use fixed empirical values, which may not fully motivate users to participate in demand response. Therefore, an optimized operation strategy for integrated electricity-gas energy system considering stepped incentives demand response was proposed. Firstly, by introducing dynamic compensation mechanism, a demand response model based on step incentives is modeled, and it is combined with price-based and substitution-based demand responses to form integrated demand response strategy. Secondly, with the goal of achieving the optimal operating cost of the integrated energy system, an optimal scheduling model for the power system and natural gas system was constructed. Finally, the distributed optimization solution of integrated energy system is achieved using the alternating direction multiplier method with adaptive penalty. By comparing and analyzing the examples under different cases, it is verified that the total cost of the system proposed in this paper considering the stepped incentive integrated demand response mechanism is reduced by 19.5 % compared with that the system without demand response. The gas load reduction volume of the system is increased by 53 m3. The simulation results demonstrate that the dynamic incentive mechanism is conducive to mobilizing the users to participate in the demand response and helps to improve the system economy.

Suggested Citation

  • Duan, Jiandong & Tian, Qinxing & Liu, Fan & Xia, Yerui & Gao, Qi, 2024. "Optimal scheduling strategy with integrated demand response based on stepped incentive mechanism for integrated electricity-gas energy system," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224034674
    DOI: 10.1016/j.energy.2024.133689
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224034674
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.133689?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    2. Zhao, Baining & Qian, Tong & Li, Weiwei & Xin, Yanli & Zhao, Wei & Lin, Zekang & Tang, Wenhu & Jin, Xin & Cao, Wangzhang & Pan, Tingzhe, 2024. "Fast distributed co-optimization of electricity and natural gas systems hedging against wind fluctuation and uncertainty," Energy, Elsevier, vol. 298(C).
    3. Pan, Chongchao & Jin, Tai & Li, Na & Wang, Guanxiong & Hou, Xiaowang & Gu, Yueqing, 2023. "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," Energy, Elsevier, vol. 270(C).
    4. Yang, Meng & Liu, Yisheng, 2023. "Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response," Energy, Elsevier, vol. 283(C).
    5. Ghasemi-Marzbali, Ali & Shafiei, Mohammad & Ahmadiahangar, Roya, 2023. "Day-ahead economical planning of multi-vector energy district considering demand response program," Applied Energy, Elsevier, vol. 332(C).
    6. Lin, Xiaojie & Lin, Xueru & Zhong, Wei & Zhou, Yi, 2024. "Multi-time scale dynamic operation optimization method for industrial park electricity-heat-gas integrated energy system considering demand elasticity," Energy, Elsevier, vol. 293(C).
    7. Ju, Liwei & Zhao, Rui & Tan, Qinliang & Lu, Yan & Tan, Qingkun & Wang, Wei, 2019. "A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response," Applied Energy, Elsevier, vol. 250(C), pages 1336-1355.
    8. Wu, Yanjuan & Wang, Caiwei & Wang, Yunliang, 2024. "Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm," Energy, Elsevier, vol. 302(C).
    9. Li, Zhenkun & Yao, Yicong & Zhao, Nan & Shan, Jie & Fu, Yang, 2024. "Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment," Energy, Elsevier, vol. 302(C).
    10. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    11. Zhang, Pan & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos & Alharthi, Yahya Z. & Safaraliev, Murodbek, 2024. "An ADMM-enabled robust optimization framework for self-healing scheduling of smart grids integrated with smart prosumers," Applied Energy, Elsevier, vol. 363(C).
    12. Lyu, Xiangmei & Liu, Tianqi & Liu, Xuan & He, Chuan & Nan, Lu & Zeng, Hong, 2023. "Low-carbon robust economic dispatch of park-level integrated energy system considering price-based demand response and vehicle-to-grid," Energy, Elsevier, vol. 263(PB).
    13. Dey, Bishwajit & Misra, Srikant & Garcia Marquez, Fausto Pedro, 2023. "Microgrid system energy management with demand response program for clean and economical operation," Applied Energy, Elsevier, vol. 334(C).
    14. Dong, Zeyuan & Zhang, Zhao & Huang, Minghui & Yang, Shaorong & Zhu, Jun & Zhang, Meng & Chen, Dongjiu, 2024. "Research on day-ahead optimal dispatching of virtual power plants considering the coordinated operation of diverse flexible loads and new energy," Energy, Elsevier, vol. 297(C).
    15. Wang, Jiexin & Wang, Song, 2023. "The effect of electricity market reform on energy efficiency in China," Energy Policy, Elsevier, vol. 181(C).
    16. Li, Yang & Han, Meng & Shahidehpour, Mohammad & Li, Jiazheng & Long, Chao, 2023. "Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response," Applied Energy, Elsevier, vol. 335(C).
    17. Abedrabboh, Khaled & Al-Fagih, Luluwah, 2023. "Applications of mechanism design in market-based demand-side management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    18. Fleschutz, Markus & Bohlayer, Markus & Braun, Marco & Henze, Gregor & Murphy, Michael D., 2021. "The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices," Applied Energy, Elsevier, vol. 295(C).
    19. Nawaz, Arshad & Zhou, Min & Wu, Jing & Long, Chengnian, 2022. "A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network," Applied Energy, Elsevier, vol. 323(C).
    20. Tong, Ziqiang & Mansouri, Seyed Amir & Huang, Shoujun & Rezaee Jordehi, Ahmad & Tostado-Véliz, Marcos, 2023. "The role of smart communities integrated with renewable energy resources, smart homes and electric vehicles in providing ancillary services: A tri-stage optimization mechanism," Applied Energy, Elsevier, vol. 351(C).
    21. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    22. Duan, Jiandong & Liu, Fan & Yang, Yao, 2022. "Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties," Applied Energy, Elsevier, vol. 323(C).
    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. Chengcheng Ma & Zhijian Hu, 2025. "Low-Carbon Economic Scheduling of Integrated Energy System Considering Flexible Supply–Demand Response and Diversified Utilization of Hydrogen," Sustainability, MDPI, vol. 17(4), pages 1-23, February.

    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. Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    2. Hu, Likun & Cao, Yi & Yin, Linfei, 2024. "Long-term price guidance mechanism for integrated energy systems based on gated recurrent unit - vision transformer prediction and fractional-order stochastic dynamic calculus control," Energy, Elsevier, vol. 312(C).
    3. Zhao, Wanbing & Chang, Weiguang & Yang, Qiang, 2024. "Collaborative energy management of interconnected regional integrated energy systems considering spatio-temporal characteristics," Renewable Energy, Elsevier, vol. 235(C).
    4. Gao, Yang & Ai, Qian & He, Xing & Fan, Songli, 2023. "Coordination for regional integrated energy system through target cascade optimization," Energy, Elsevier, vol. 276(C).
    5. Yao, Wenliang & Wang, Chengfu & Yang, Ming & Wang, Kang & Dong, Xiaoming & Zhang, Zhenwei, 2023. "A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing," Applied Energy, Elsevier, vol. 342(C).
    6. Zhang, Xiaofeng & Zhan, Yu & Zhao, Tingbo & Mei, Jin & Jiao, Fan & Zeng, Rong & Sun, Xiaoqin & Wang, Meng, 2024. "Three-stage optimization of integrated energy system considering source/load uncertainties and orderly charging of NEVs," Energy, Elsevier, vol. 313(C).
    7. Liu, Fan & Duan, Jiandong & Wu, Chen & Tian, Qinxing, 2024. "Risk-averse distributed optimization for integrated electricity-gas systems considering uncertainties of Wind-PV and power-to-gas," Renewable Energy, Elsevier, vol. 227(C).
    8. Han, Jian & Tan, Qinliang & Ding, Yihong & Liu, Yuan, 2024. "Exploring the diffusion of low-carbon power generation and energy storage technologies under electricity market reform in China: An agent-based modeling framework for power sector," Energy, Elsevier, vol. 308(C).
    9. Hou, Hui & Ge, Xiangdi & Yan, Yulin & Lu, Yanchao & Zhang, Ji & Dong, Zhao Yang, 2024. "An integrated energy system “green-carbon” offset mechanism and optimization method with Stackelberg game," Energy, Elsevier, vol. 294(C).
    10. Wang, Yijian & Cui, Yang & Li, Yang & Xu, Yang, 2023. "Collaborative optimization of multi-microgrids system with shared energy storage based on multi-agent stochastic game and reinforcement learning," Energy, Elsevier, vol. 280(C).
    11. Gao, Jin & Shao, Zhenguo & Chen, Feixiong & Lak, Mohammadreza, 2024. "Robust optimization for integrated energy systems based on multi-energy trading," Energy, Elsevier, vol. 308(C).
    12. Jin, Yuhui & Oko, Eni & Zhang, Junli & Shen, Jiong, 2024. "Distributed scheduling of integrated energy system considering the impacts of heating network and load on source-side components," Energy, Elsevier, vol. 313(C).
    13. Cambambi, Cláudio A.C. & Canha, Luciane N. & Sperandio, Maurício & Rangel, Camilo & Milani, Isabel P., 2025. "Energy exchange optimization among multiple geolocated microgrids: A coalition formation approach for cost reduction," Applied Energy, Elsevier, vol. 379(C).
    14. Gao, Yuan & Tahir, Mustafa & Siano, Pierluigi & Bi, Yue & Hu, Sile & Yang, Jiaqiang, 2025. "Optimization of renewable energy-based integrated energy systems: A three-stage stochastic robust model," Applied Energy, Elsevier, vol. 377(PD).
    15. Qiang Shuai & Yue Yin & Shan Huang & Chao Chen, 2025. "Deep Reinforcement Learning-Based Real-Time Energy Management for an Integrated Electric–Thermal Energy System," Sustainability, MDPI, vol. 17(2), pages 1-17, January.
    16. Fan, Wei & Fan, Ying & Yao, Xing & Yi, Bowen & Jiang, Dalin & Wu, Lin, 2024. "Distributed transaction optimization model of multi-integrated energy systems based on nash negotiation," Renewable Energy, Elsevier, vol. 225(C).
    17. Chen, Longxiang & He, Huan & Jing, Rui & Xie, Meina & Ye, Kai, 2024. "Energy management in integrated energy system with electric vehicles as mobile energy storage: An approach using bi-level deep reinforcement learning," Energy, Elsevier, vol. 307(C).
    18. Hua Pan & Qunli Wu & Huiling Guo & Jiayi Bai, 2024. "Low-Carbon Optimization Scheduling of Integrated Energy Systems Based on Bilateral Demand Response and Two-Level Stackelberg Game," Energies, MDPI, vol. 17(21), pages 1-26, November.
    19. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    20. Tan, Mao & Li, Zibin & Su, Yongxin & Ren, Yuling & Wang, Ling & Wang, Rui, 2024. "Dual time-scale robust optimization for energy management of distributed energy community considering source-load uncertainty," Renewable Energy, Elsevier, vol. 226(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:eee:energy:v:313:y:2024:i:c:s0360544224034674. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.