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Collaborative Optimization Scheduling of Source-Network-Load-Storage System Based on Ladder-Type Green Certificate–Carbon Joint Trading Mechanism and Integrated Demand Response

Author

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  • Zhenglong Wang

    (State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control, Xinjiang University, Urumqi 830047, China)

  • Jiahui Wu

    (State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control, Xinjiang University, Urumqi 830047, China)

  • Yang Kou

    (Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China)

  • Menglin Zhang

    (State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control, Xinjiang University, Urumqi 830047, China)

  • Huan Jiang

    (Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China)

Abstract

To fully leverage the potential flexibility resources of a source-network-load-storage (SNLS) system and achieve the green transformation of multi-source systems, this paper proposes an economic and low-carbon operation strategy for an SNLS system, considering the joint operation of ladder-type green certificate trading (GCT)–carbon emission trading (CET), and integrated demand response (IDR). Firstly, focusing on the load side of electricity–heat–cooling–gas multi-source coupling, this paper comprehensively considers three types of flexible loads: transferable, replaceable, and reducible. An IDR model is established to tap into the load-side scheduling potential. Secondly, improvements are made to the market mechanisms: as a result of the division into tiered intervals and introduction of reward–penalty coefficients, the traditional GCT mechanism was improved to a more constraining and flexible ladder-type GCT mechanism. Moreover, the carbon offset mechanism behind green certificates serves as a bridge, leading to a GCT-CET joint operation mechanism. Finally, an economic low-carbon operation model is formulated with the objective of minimizing the comprehensive cost consisting of GCT cost, CET cost, energy procurement cost, IDR cost, and system operation cost. Simulation results indicate that by effectively integrating market mechanisms and IDR, the system can enhance its capacity for renewable energy penetration, reduce carbon emissions, and achieve green and sustainable development.

Suggested Citation

  • Zhenglong Wang & Jiahui Wu & Yang Kou & Menglin Zhang & Huan Jiang, 2024. "Collaborative Optimization Scheduling of Source-Network-Load-Storage System Based on Ladder-Type Green Certificate–Carbon Joint Trading Mechanism and Integrated Demand Response," Sustainability, MDPI, vol. 16(22), pages 1-26, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:10104-:d:1524594
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    References listed on IDEAS

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    1. Yang, Dongfeng & Xu, Yang & Liu, Xiaojun & Jiang, Chao & Nie, Fanjie & Ran, Zixu, 2022. "Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies," Energy, Elsevier, vol. 253(C).
    2. Ikäheimo, Jussi & Weiss, Robert & Kiviluoma, Juha & Pursiheimo, Esa & Lindroos, Tomi J., 2022. "Impact of power-to-gas on the cost and design of the future low-carbon urban energy system," Applied Energy, Elsevier, vol. 305(C).
    3. Zifa Liu & Chengchen Li, 2023. "Low-Carbon Economic Optimization of Integrated Energy System Considering Refined Utilization of Hydrogen Energy and Generalized Energy Storage," Energies, MDPI, vol. 16(15), pages 1-23, July.
    4. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    5. Roksana Yasmin & B. M. Ruhul Amin & Rakibuzzaman Shah & Andrew Barton, 2024. "A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy," Sustainability, MDPI, vol. 16(2), pages 1-41, January.
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