IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2056-d1349704.html

Source-Grid-Load Cross-Area Coordinated Optimization Model Based on IGDT and Wind-Photovoltaic-Photothermal System

Author

Listed:
  • Yilin Xu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Zeping Hu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

A source-grid-load cross-area coordinated optimal dispatch model based on IGDT and a wind-photovoltaic-photothermal system is suggested to handle the problem of renewable energy consumption under large-scale wind power and photovoltaic grid connections. Firstly, the peak flexibility of a wind-photovoltaic-photothermal co-generation system is investigated to improve the utilization rate of wind and solar resources. To increase the model’s efficiency and accuracy, the alternating direction multiplier method (ADMM) is used. Finally, arithmetic examples are utilized to examine and contrast how the system dispatch cost changed under risk-averse and risk-seeking strategies. It also examines how the installed ratio of concentrated solar power plants affects the overall cost of the system. The findings demonstrate that the suggested model may achieve a coordinated optimization of the source, grid and load while lowering system operation costs.

Suggested Citation

  • Yilin Xu & Zeping Hu, 2024. "Source-Grid-Load Cross-Area Coordinated Optimization Model Based on IGDT and Wind-Photovoltaic-Photothermal System," Sustainability, MDPI, vol. 16(5), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2056-:d:1349704
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/2056/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/2056/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alzahrani, Ahmad & Sajjad, Khizar & Hafeez, Ghulam & Murawwat, Sadia & Khan, Sheraz & Khan, Farrukh Aslam, 2023. "Real-time energy optimization and scheduling of buildings integrated with renewable microgrid," Applied Energy, Elsevier, vol. 335(C).
    2. Duan, Liqiang & Lu, Hao & Yuan, Mingye & Lv, Zhipeng, 2018. "Optimization and part-load performance analysis of MCFC/ST hybrid power system," Energy, Elsevier, vol. 152(C), pages 682-693.
    3. Pilotti, L. & Colombari, M. & Castelli, A.F. & Binotti, M. & Giaconia, A. & Martelli, E., 2023. "Simultaneous design and operational optimization of hybrid CSP-PV plants," Applied Energy, Elsevier, vol. 331(C).
    Full references (including those not matched with items on IDEAS)

    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. Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    2. Zhao, Yincheng & Zhang, Guozhou & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2023. "Meta-learning based voltage control strategy for emergency faults of active distribution networks," Applied Energy, Elsevier, vol. 349(C).
    3. Mehrpooya, Mehdi & Ansarinasab, Hojat & Mousavi, Seyed Ali, 2021. "Life cycle assessment and exergoeconomic analysis of the multi-generation system based on fuel cell for methanol, power, and heat production," Renewable Energy, Elsevier, vol. 172(C), pages 1314-1332.
    4. Jin, Jiahui & Sun, Guoqiang & Chen, Sheng & Li, Yaping & Zhu, Hong & Mao, Wenbo & Ji, Wenlu, 2026. "Buildings-to-grid with generalized energy storage: A multi-agent decomposed deep reinforcement learning approach for delayed rewards," Applied Energy, Elsevier, vol. 404(C).
    5. Bahram Ghorbani, 2021. "Development of an Integrated Structure for the Tri-Generation of Power, Liquid Carbon Dioxide, and Medium Pressure Steam Using a Molten Carbonate Fuel Cell, a Dual Pressure Linde-Hampson Liquefaction Plant, and a Heat Recovery Steam Generator," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    6. Abdellatif Soussi & Enrico Zero & Alessandro Bozzi & Roberto Sacile, 2024. "Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review," Energies, MDPI, vol. 17(19), pages 1-43, October.
    7. Pilotti, Lorenzo & Castelli, Alessandro Francesco & Martelli, Emanuele, 2025. "Optimal design of fully renewable and dispatchable power plants with hydrogen seasonal storage," Renewable Energy, Elsevier, vol. 241(C).
    8. Yang, Yuchen & Ma, Lin & Ma, Wenhui & Yu, Zhiqiang & Fu, Ling & Li, Ming & Mao, Dan, 2024. "Life cycle assessment of typical tower solar thermal power station in China," Energy, Elsevier, vol. 309(C).
    9. El Shamy, Ahmed R. & Al-Sumaiti, Ameena S., 2025. "Optimal cost predictive BMS considering greywater recycling, responsive HVAC, and energy storage," Applied Energy, Elsevier, vol. 377(PC).
    10. Hu, Bangjie & Cai, Fulin & Tai, Nengling & Wang, Pei, 2024. "Dual-time scale optimal dispatch of the CSP-PV hybrid power plant considering dynamic operation," Energy, Elsevier, vol. 306(C).
    11. Dai, Xiaoyu & Fang, Yujuan & Gedik, Eylül & Li, Zheng & Wirsum, Manfred, 2026. "PV-CSP hybrid system configuration and performance based on simulation and mathematical methods," Renewable Energy, Elsevier, vol. 258(C).
    12. Szczęśniak, Arkadiusz & Milewski, Jarosław & Szabłowski, Łukasz & Bujalski, Wojciech & Dybiński, Olaf, 2020. "Dynamic model of a molten carbonate fuel cell 1 kW stack," Energy, Elsevier, vol. 200(C).
    13. Hans Joshua C. Conde & Christian M. Demition & Jaime Honra, 2025. "Storage Is the New Black: A Review of Energy Storage System Applications to Resolve Intermittency in Renewable Energy Systems," Energies, MDPI, vol. 18(2), pages 1-26, January.
    14. Xi, Yufei & Zhang, Zhengfa & Zhang, Jiansheng, 2024. "Multi-objective optimization strategy for regional multi-energy systems integrated with medium-high temperature solar thermal technology," Energy, Elsevier, vol. 300(C).
    15. Li Li & Hanjie Lin & Yue Qiang & Yi Zhang & Shengchao Hu & Hongjian Li & Siyu Liang & Xinlong Xu, 2024. "A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-23, June.
    16. Qi, Ning & Huang, Kaidi & Fan, Zhiyuan & Xu, Bolun, 2025. "Long-term energy management for microgrid with hybrid hydrogen-battery energy storage: A prediction-free coordinated optimization framework," Applied Energy, Elsevier, vol. 377(PB).
    17. Ahmad Alzahrani & Ghulam Hafeez & Sajjad Ali & Sadia Murawwat & Muhammad Iftikhar Khan & Khalid Rehman & Azher M. Abed, 2023. "Multi-Objective Energy Optimization with Load and Distributed Energy Source Scheduling in the Smart Power Grid," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    18. Temiz, Mert & Dincer, Ibrahim, 2023. "Solar and sodium fast reactor-based integrated energy system developed with thermal energy storage and hydrogen," Energy, Elsevier, vol. 284(C).
    19. Qi, Xiaoyan & Yao, Xilong & Guo, Pibin & Han, Yunfei & Liu, Lin, 2024. "Applying life cycle assessment to investigate the environmental impacts of a PV–CSP hybrid system," Renewable Energy, Elsevier, vol. 227(C).
    20. Liu, Hongtao & Zhai, Rongrong & Patchigolla, Kumar & Turner, Peter & Yu, Xiaohan & Wang, Peng, 2023. "Multi-objective optimisation of a thermal-storage PV-CSP-wind hybrid power system in three operation modes," Energy, Elsevier, vol. 284(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:5:p:2056-:d:1349704. 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.