IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7244-d1462070.html
   My bibliography  Save this article

Capacity Optimization of Pumped–Hydro–Wind–Photovoltaic Hybrid System Based on Normal Boundary Intersection Method

Author

Listed:
  • Hailun Wang

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Yang Li

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Feng Wu

    (School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China)

  • Shengming He

    (Yalong River Hydropower Development Company Ltd., Chengdu 610051, China)

  • Renshan Ding

    (Yalong River Hydropower Development Company Ltd., Chengdu 610051, China)

Abstract

Introducing pumped storage to retrofit existing cascade hydropower plants into hybrid pumped storage hydropower plants (HPSPs) could increase the regulating capacity of hydropower. From this perspective, a capacity configuration optimization method for a multi-energy complementary power generation system comprising hydro, wind, and photovoltaic power is developed. Firstly, to address the uncertainty of wind and photovoltaic power outputs, the K-means clustering algorithm is applied to deal with historical data on load and photovoltaic, wind, and water inflow within a specific region over the past year. This process helps reduce the number of scenarios, resulting in 12 representative scenarios and their corresponding probabilities. Secondly, with the aim of enhancing outbound transmission channel utilization and decreasing the peak–valley difference for the receiving-end power grid’s load curve, a multi-objective optimization model based on the normal boundary intersection (NBI) algorithm is developed for the capacity optimization of the multi-energy complementary power generation system. The result shows that retrofitting cascade hydropower plants with pumped storage units to construct HPSPs enhances their ability to accommodate wind and photovoltaic power. The optimal capacity of wind and photovoltaic power is increased, the utilization rate of the system’s transmission channel is improved, and the peak-to-valley difference for the residual load of the receiving-end power grid is reduced.

Suggested Citation

  • Hailun Wang & Yang Li & Feng Wu & Shengming He & Renshan Ding, 2024. "Capacity Optimization of Pumped–Hydro–Wind–Photovoltaic Hybrid System Based on Normal Boundary Intersection Method," Sustainability, MDPI, vol. 16(17), pages 1-26, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7244-:d:1462070
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7244/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/17/7244/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Athanasios Zisos & Georgia-Konstantina Sakki & Andreas Efstratiadis, 2023. "Mixing Renewable Energy with Pumped Hydropower Storage: Design Optimization under Uncertainty and Other Challenges," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    2. Wen, Xin & Sun, Yuanliang & Tan, Qiaofeng & Tang, Zhengyang & Wang, Zhenni & Liu, Zhehua & Ding, Ziyu, 2022. "Optimizing the sizes of wind and photovoltaic plants complementarily operating with cascade hydropower stations: Balancing risk and benefit," Applied Energy, Elsevier, vol. 306(PA).
    3. Weiqiang Qiu & Sheng Zhou & Yang Yang & Xiaoying Lv & Ting Lv & Yuge Chen & Ying Huang & Kunming Zhang & Hongfei Yu & Yunchu Wang & Yuanqian Ma & Zhenzhi Lin, 2023. "Application Prospect, Development Status and Key Technologies of Shared Energy Storage toward Renewable Energy Accommodation Scenario in the Context of China," Energies, MDPI, vol. 16(2), pages 1-21, January.
    4. Chabok, Hossein & Aghaei, Jamshid & Sheikh, Morteza & Roustaei, Mahmoud & Zare, Mohsen & Niknam, Taher & Lehtonen, Matti & Shafi-khah, Miadreza & Catalão, João P.S., 2022. "Transmission-constrained optimal allocation of price-maker wind-storage units in electricity markets," Applied Energy, Elsevier, vol. 310(C).
    5. Flores-Quiroz, Angela & Strunz, Kai, 2021. "A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option," Applied Energy, Elsevier, vol. 291(C).
    6. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    7. He, Yaoyao & Hong, Xiaoyu & Wang, Chao & Qin, Hui, 2023. "Optimal capacity configuration of the hydro-wind-photovoltaic complementary system considering cascade reservoir connection," Applied Energy, Elsevier, vol. 352(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. Liu, Benxi & Liu, Tengyuan & Liao, Shengli & Lu, Jia & Cheng, Chuntian, 2023. "Short-term coordinated hybrid hydro-wind-solar optimal scheduling model considering multistage section restrictions," Renewable Energy, Elsevier, vol. 217(C).
    2. Xu, Lianchen & Kan, Kan & Zheng, Yuan & Liu, Demin & Binama, Maxime & Xu, Zhe & Yan, Xiaotong & Guo, Mengqi & Chen, Huixiang, 2024. "Rotating stall mechanism of pump-turbine in hump region: An insight into vortex evolution," Energy, Elsevier, vol. 292(C).
    3. Jiao, P.H. & Chen, J.J. & Cai, X. & Wang, L.L. & Zhao, Y.L. & Zhang, X.H. & Chen, W.G., 2021. "Joint active and reactive for allocation of renewable energy and energy storage under uncertain coupling," Applied Energy, Elsevier, vol. 302(C).
    4. Yurter, Gulin & Nadar, Emre & Kocaman, Ayse Selin, 2024. "The impact of pumped hydro energy storage configurations on investment planning of hybrid systems with renewables," Renewable Energy, Elsevier, vol. 222(C).
    5. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    6. Wang, Bangyan & Wang, Xiuli & Wei, Fengting & Shao, Chengcheng & Zhou, Jiahao & Lin, Jintian, 2023. "Multi-stage stochastic planning for a long-term low-carbon transition of island power system considering carbon price uncertainty and offshore wind power," Energy, Elsevier, vol. 282(C).
    7. Li, Xudong & Yang, Weijia & Liao, Yiwen & Zhang, Shushu & Zheng, Yang & Zhao, Zhigao & Tang, Maojia & Cheng, Yongguang & Liu, Pan, 2024. "Short-term risk-management for hydro-wind-solar hybrid energy system considering hydropower part-load operating characteristics," Applied Energy, Elsevier, vol. 360(C).
    8. McIlwaine, Neil & Foley, Aoife M. & Best, Robert & Morrow, D. John & Kez, Dlzar Al, 2023. "Modelling the effect of distributed battery energy storage in an isolated power system," Energy, Elsevier, vol. 263(PC).
    9. Tan, Qiaofeng & Nie, Zhuang & Wen, Xin & Su, Huaying & Fang, Guohua & Zhang, Ziyi, 2024. "Complementary scheduling rules for hybrid pumped storage hydropower-photovoltaic power system reconstructing from conventional cascade hydropower stations," Applied Energy, Elsevier, vol. 355(C).
    10. Qiu, Yibin & Li, Qi & Wang, Tianhong & Yin, Liangzhen & Chen, Weirong & Liu, Hong, 2022. "Optimal planning of Cross-regional hydrogen energy storage systems considering the uncertainty," Applied Energy, Elsevier, vol. 326(C).
    11. Pei, Ji & Shen, Jiawei & Wang, Wenjie & Yuan, Shouqi & Zhao, Jiantao, 2024. "Evaluating hydraulic dissipation in a reversible mixed-flow pump for micro-pumped hydro storage based on entropy production theory," Renewable Energy, Elsevier, vol. 225(C).
    12. Wang, Zizhao & Li, Yang & Wu, Feng & Wu, Jiawei & Shi, Linjun & Lin, Keman, 2024. "Multi-objective day-ahead scheduling of cascade hydropower-photovoltaic complementary system with pumping installation," Energy, Elsevier, vol. 290(C).
    13. Zhang, Houwang & Wu, Qiuwei & Chen, Jian & Lu, Lina & Zhang, Jiangfeng & Zhang, Shuyi, 2023. "Multiple stage stochastic planning of integrated electricity and gas system based on distributed approximate dynamic programming," Energy, Elsevier, vol. 270(C).
    14. Perera, A.T.D. & Soga, Kenichi & Xu, Yujie & Nico, Peter S. & Hong, Tianzhen, 2023. "Enhancing flexibility for climate change using seasonal energy storage (aquifer thermal energy storage) in distributed energy systems," Applied Energy, Elsevier, vol. 340(C).
    15. Abdulaziz Almalaq & Saleh Albadran & Mohamed A. Mohamed, 2023. "An Adoptive Miner-Misuse Based Online Anomaly Detection Approach in the Power System: An Optimum Reinforcement Learning Method," Mathematics, MDPI, vol. 11(4), pages 1-22, February.
    16. Li, Hang & Ma, Hongling & Liu, Jiang & Zhu, Shijie & Zhao, Kai & Zheng, Zhuyan & Zeng, Zhen & Yang, Chunhe, 2023. "Large-scale CAES in bedded rock salt: A case study in Jiangsu Province, China," Energy, Elsevier, vol. 281(C).
    17. Dimitris Al. Katsaprakakis, 2024. "Toward a Renewable and Sustainable Energy Pattern in Non-Interconnected Rural Monasteries: A Case Study for the Xenofontos Monastery, Mount Athos," Sustainability, MDPI, vol. 16(5), pages 1-32, March.
    18. Feng, Wenxiu, 2024. "Predictive day-ahead offering for renewable generators in uncertain spot and balancing markets," DES - Working Papers. Statistics and Econometrics. WS 44216, Universidad Carlos III de Madrid. Departamento de Estadística.
    19. Wei, Zhinong & Yang, Li & Chen, Sheng & Ma, Zhoujun & Zang, Haixiang & Fei, Youdie, 2022. "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems," Energy, Elsevier, vol. 254(PC).
    20. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Yan, Zhiyu, 2022. "A Wasserstein metric-based distributionally robust optimization approach for reliable-economic equilibrium operation of hydro-wind-solar energy systems," Renewable Energy, Elsevier, vol. 196(C), pages 204-219.

    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:17:p:7244-:d:1462070. 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.