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A two-layer and three-stage dynamic demand response game model considering the out of sync response for gases generators

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  • Li, Xu
  • Deng, Jianhua
  • Liu, Jichun

Abstract

Traditional integrated demand response model lacks evaluation mechanism during the response process, posing a risk of over-response and excessive changes in the original power consumption order. To address this issue, a two-layer and three-stage dynamic demand response game model is proposed on the load side, which considers the internal game of response loads, and the absolute loads time nodes of “peak-flat-valley”are set as the response signals. And the demand response strategy of this phase will be formulated based on the response evaluation results of the previous phase. On the power generation side,an analysis is conducted focusing on the out-of-sync response of gases generators caused by time delay in gas networks. Ensuring a stable energy supply since it serves as a prerequisite for effective demand response actions. Finally, four possible game schemes are proposed considering the priority of demand response loads. The case study demonstrates this proposed demand response strategy can increase original power consumption maintenance order rate to 95.82% and power supply reliability to 98.33%. Besides, the renewable energy curtailment rate and demand response cost are reduced by 4.64% and 51.43%, respectively.

Suggested Citation

  • Li, Xu & Deng, Jianhua & Liu, Jichun, 2024. "A two-layer and three-stage dynamic demand response game model considering the out of sync response for gases generators," Renewable Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:renene:v:228:y:2024:i:c:s0960148124007493
    DOI: 10.1016/j.renene.2024.120681
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    1. Bailera, Manuel & Lisbona, Pilar & Romeo, Luis M. & Espatolero, Sergio, 2017. "Power to Gas projects review: Lab, pilot and demo plants for storing renewable energy and CO2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 292-312.
    2. Turdybek, Balgynbek & Tostado-Véliz, Marcos & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Jurado, Francisco, 2024. "A local electricity market mechanism for flexibility provision in industrial parks involving Heterogenous flexible loads," Applied Energy, Elsevier, vol. 359(C).
    3. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    4. Zhang, Xian & Chan, K.W. & Wang, Huaizhi & Hu, Jiefeng & Zhou, Bin & Zhang, Yan & Qiu, Jing, 2019. "Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations," Energy, Elsevier, vol. 176(C), pages 249-264.
    5. Yang, Dechang & Wang, Ming & Yang, Ruiqi & Zheng, Yingying & Pandzic, Hrvoje, 2021. "Optimal dispatching of an energy system with integrated compressed air energy storage and demand response," Energy, Elsevier, vol. 234(C).
    6. Wu, Mou & Yan, Rujing & Zhang, Jing & Fan, Junqiu & Wang, Jiangjiang & Bai, Zhang & He, Yu & Cao, Guoqiang & Hu, Keling, 2024. "An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables," Renewable Energy, Elsevier, vol. 227(C).
    7. 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).
    8. Liu, Dewen & Luo, Zhao & Qin, Jinghui & Wang, Hua & Wang, Gang & Li, Zhao & Zhao, Weijie & Shen, Xin, 2023. "Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading," Renewable Energy, Elsevier, vol. 218(C).
    9. Siqin, Zhuoya & Niu, DongXiao & Wang, Xuejie & Zhen, Hao & Li, MingYu & Wang, Jingbo, 2022. "A two-stage distributionally robust optimization model for P2G-CCHP microgrid considering uncertainty and carbon emission," Energy, Elsevier, vol. 260(C).
    10. Zhang, Dongdong & Zhu, Hongyu & Zhang, Hongcai & Goh, Hui Hwang & Liu, Hui & Wu, Thomas, 2022. "An optimized design of residential integrated energy system considering the power-to-gas technology with multi-functional characteristics," Energy, Elsevier, vol. 238(PA).
    11. Li, Songrui & Zhang, Lihui & Nie, Lei & Wang, Jianing, 2022. "Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: A hierarchical Stackelberg game," Energy, Elsevier, vol. 249(C).
    12. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    13. Li, Jiamei & Ai, Qian & Yin, Shuangrui & Hao, Ran, 2022. "An aggregator-oriented hierarchical market mechanism for multi-type ancillary service provision based on the two-loop Stackelberg game," Applied Energy, Elsevier, vol. 323(C).
    14. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.
    15. Li, Dongsen & Gao, Ciwei & Chen, Tao & Guo, Xiaoxuan & Han, Shuai, 2021. "Planning strategies of power-to-gas based on cooperative game and symbiosis cooperation," Applied Energy, Elsevier, vol. 288(C).
    16. Li, Ling-Ling & Miao, Yan & Lim, Ming K. & Sethanan, Kanchana & Tseng, Ming-Lang, 2024. "Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game," Renewable Energy, Elsevier, vol. 222(C).
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