IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i16p5989-d891838.html
   My bibliography  Save this article

Short-Term Hydro-Thermal-Solar Scheduling with CCGT Based on Self-Adaptive Genetic Algorithm

Author

Listed:
  • Borche Postolov

    (Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia)

  • Nikolay Hinov

    (Faculty of Electronic Engineering and Technologies, Technical University of Sofia, 8 Kl. Ohridski Blvd, 1000 Sofia, Bulgaria)

  • Atanas Iliev

    (Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia)

  • Dimitar Dimitrov

    (Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Ruger Boshkovikj 18, P.O. Box 574 Skopje, North Macedonia)

Abstract

This paper presents a new metaheuristic approach based on a self-adaptive genetic algorithm (SAGA) for solving the short-term hydro-thermal-solar scheduling with combined-cycle (CCGT) units. First of all, the proposed approach is applied to a test system with different characteristics, considering the valve-point effect. The simulation results obtained from the new SAGA are compared with the results obtained from some other metaheuristic methods, such as AIS, DE, and EP to reveal the validity and verify the feasibility of the proposed approach. The test results show that the proposed metaheuristic approach proves the effectiveness and superiority of the SAGA algorithm for solving the short-term hydro-thermal-solar scheduling (SHTSS) problem.

Suggested Citation

  • Borche Postolov & Nikolay Hinov & Atanas Iliev & Dimitar Dimitrov, 2022. "Short-Term Hydro-Thermal-Solar Scheduling with CCGT Based on Self-Adaptive Genetic Algorithm," Energies, MDPI, vol. 15(16), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5989-:d:891838
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/16/5989/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/16/5989/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Xiaoli & Yin, Haitao & Zhao, Yue, 2015. "Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China," Applied Energy, Elsevier, vol. 149(C), pages 238-247.
    2. Basu, M., 2011. "Artificial immune system for fixed head hydrothermal power system," Energy, Elsevier, vol. 36(1), pages 606-612.
    3. Sirote Khunkitti & Neville R. Watson & Rongrit Chatthaworn & Suttichai Premrudeepreechacharn & Apirat Siritaratiwat, 2019. "An Improved DA-PSO Optimization Approach for Unit Commitment Problem," Energies, MDPI, vol. 12(12), pages 1-23, June.
    4. Maturana, Jorge & Riff, Maria-Cristina, 2007. "Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach," European Journal of Operational Research, Elsevier, vol. 179(3), pages 677-691, June.
    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. Hazem Ali & Ting Chen & Yunhong Hao, 2021. "Sustainable Manufacturing Practices, Competitive Capabilities, and Sustainable Performance: Moderating Role of Environmental Regulations," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    2. Liu, Cenjie & Fang, Jiayu & Xie, Rui, 2021. "Energy policy and corporate financial performance: Evidence from China's 11th five-year plan," Energy Economics, Elsevier, vol. 93(C).
    3. Xu, Hao & Xu, Jingxuan & Wang, Jie & Hou, Xiang, 2023. "Reduce production or increase efficiency? Hazardous air pollutants regulation, energy use, and the synergistic effect on industrial enterprises' carbon emission," Energy Economics, Elsevier, vol. 126(C).
    4. Haoran He & Yefeng Chen, 2021. "Auction mechanisms for allocating subsidies for carbon emissions reduction: an experimental investigation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(2), pages 387-430, August.
    5. Haijun Zhao & Weichun Ma & Hongjia Dong & Ping Jiang, 2017. "Analysis of Co-Effects on Air Pollutants and CO 2 Emissions Generated by End-of-Pipe Measures of Pollution Control in China’s Coal-Fired Power Plants," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    6. Glotić, Arnel & Glotić, Adnan & Kitak, Peter & Pihler, Jože & Tičar, Igor, 2014. "Optimization of hydro energy storage plants by using differential evolution algorithm," Energy, Elsevier, vol. 77(C), pages 97-107.
    7. Sun, Yunpeng & Razzaq, Asif & Sun, Huaping & Irfan, Muhammad, 2022. "The asymmetric influence of renewable energy and green innovation on carbon neutrality in China: Analysis from non-linear ARDL model," Renewable Energy, Elsevier, vol. 193(C), pages 334-343.
    8. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus," Energy, Elsevier, vol. 66(C), pages 363-377.
    9. Xupeng Zhang & Xinhai Lu & Danling Chen & Chaozheng Zhang & Kun Ge & Bing Kuang & Sui Liu, 2021. "Is environmental regulation a blessing or a curse for China's urban land use efficiency? Evidence from a threshold effect model," Growth and Change, Wiley Blackwell, vol. 52(1), pages 265-282, March.
    10. Özyön, Serdar & Yaşar, Celal, 2018. "Gravitational search algorithm applied to fixed head hydrothermal power system with transmission line security constraints," Energy, Elsevier, vol. 155(C), pages 392-407.
    11. Zhang, Weike & Luo, Qian & Liu, Shiyuan, 2022. "Is government regulation a push for corporate environmental performance? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 105-121.
    12. Thang Trung Nguyen & Bach Hoang Dinh & Nguyen Vu Quynh & Minh Quan Duong & Le Van Dai, 2018. "A Novel Algorithm for Optimal Operation of Hydrothermal Power Systems under Considering the Constraints in Transmission Networks," Energies, MDPI, vol. 11(1), pages 1-21, January.
    13. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    14. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    15. Zhang, Jinzhu & Liu, Yu & Zhou, Meifang & Chen, Boyang & Liu, Yawen & Cheng, Baodong & Xue, Jinjun & Zhang, Wei, 2022. "Regulatory effect of improving environmental information disclosure under environmental tax in China: From the perspectives of temporal and industrial heterogeneity," Energy Policy, Elsevier, vol. 164(C).
    16. Jing Xu & Dong Chen & Rongrong Liu & Maoxian Zhou & Yunxiao Kong, 2021. "Environmental Regulation, Technological Innovation, and Industrial Transformation: An Empirical Study Based on City Function in China," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    17. Wang, Lining & Patel, Pralit L. & Yu, Sha & Liu, Bo & McLeod, Jeff & Clarke, Leon E. & Chen, Wenying, 2016. "Win–Win strategies to promote air pollutant control policies and non-fossil energy target regulation in China," Applied Energy, Elsevier, vol. 163(C), pages 244-253.
    18. Jing Xu & Min Zhou & Hailong Li, 2016. "ARDL-based research on the nexus among FDI, environmental regulation, and energy consumption in Shanghai (China)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 551-564, October.
    19. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    20. Zhang, Yongji & Lan, Minghui & Zhao, Yapu & Su, Zhi & Hao, Yu & Du, Heran, 2024. "Regional carbon emission pressure and corporate green innovation," Applied Energy, Elsevier, vol. 360(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:jeners:v:15:y:2022:i:16:p:5989-:d:891838. 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.