IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2056-d1349704.html
   My bibliography  Save this article

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. 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).
    2. 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).
    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. 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).
    4. 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).
    5. Dong, Fuxiang & Wang, Jiangjiang & Xu, Hangwei & Zhang, Xutao, 2024. "A robust real-time energy scheduling strategy of integrated energy system based on multi-step interval prediction of uncertainties," Energy, Elsevier, vol. 300(C).
    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. Liu, Lintong & Zhai, Rongrong & Hu, Yangdi, 2023. "Multi-objective optimization with advanced exergy analysis of a wind-solar‑hydrogen multi-energy supply system," Applied Energy, Elsevier, vol. 348(C).
    8. Qiang Wang & Dong Yu & Jinyu Zhou & Chaowu Jin, 2023. "Data Storage Optimization Model Based on Improved Simulated Annealing Algorithm," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    9. Muhammad Irfan & Sara Deilami & Shujuan Huang & Binesh Puthen Veettil, 2023. "Rooftop Solar and Electric Vehicle Integration for Smart, Sustainable Homes: A Comprehensive Review," Energies, MDPI, vol. 16(21), pages 1-29, October.
    10. Liang, Yaran & Li, Peng & Su, Wen & Li, Wei & Xu, Wei, 2024. "Development of green data center by configuring photovoltaic power generation and compressed air energy storage systems," Energy, Elsevier, vol. 292(C).
    11. Marco D’Auria & Roberto Grena & Giampaolo Caputo & Irena Balog & Gabriella Ferruzzi & Fulvio Bassetti & Carla Bevilacqua & Mario Cilento & Raffaello Magaldi & Michela Lanchi, 2023. "A Model of Integration between a CSP System and a PV Solar Field Sharing a Solid Particles Two-Tanks Thermal Storage," Energies, MDPI, vol. 16(22), pages 1-18, November.
    12. Diego Peña & Paul Arevalo & Yadyra Ortiz & Franciso Jurado, 2024. "Survey of Optimization Techniques for Microgrids Using High-Efficiency Converters," Energies, MDPI, vol. 17(15), pages 1-24, July.
    13. 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).
    14. 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.
    15. 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).

    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.