IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i20p4008-d278900.html
   My bibliography  Save this article

A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster

Author

Listed:
  • Hao Wu

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Lin Zhou

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China
    State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Yihao Wan

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qiang Liu

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Siyu Zhou

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

With the large-scale centralized PV clusters connected to grid, the grid power flow has certain randomness. Considering the fluctuation of PV output, an improved Krawczyk-Moore algorithm in a mixed coordinate system is proposed to solve the uncertain power flow problem. Firstly, aiming at the special structure of a centralized PV cluster with only load node and no generator node, this paper proposes a power flow calculation in the mixed power flow coordinate, and then the Krawczyk-Moore operator is used to combine interval and affine arithmetic to overcome the shortcoming of over-conservative interval algorithm. Finally, the voltage operating condition under different volatility and different partial shading conditions is studied through the simulation of a practical example, and the out-of-limit voltage problem inside the centralized PV cluster is analyzed. Meanwhile, the effectiveness of the proposed algorithm is verified.

Suggested Citation

  • Hao Wu & Lin Zhou & Yihao Wan & Qiang Liu & Siyu Zhou, 2019. "A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster," Energies, MDPI, vol. 12(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:4008-:d:278900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/20/4008/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/20/4008/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alonso Gutiérrez Galeano & Michael Bressan & Fernando Jiménez Vargas & Corinne Alonso, 2018. "Shading Ratio Impact on Photovoltaic Modules and Correlation with Shading Patterns," Energies, MDPI, vol. 11(4), pages 1-26, April.
    2. Liu, Dunnan & Liu, Mingguang & Xu, Erfeng & Pang, Bo & Guo, Xiaodan & Xiao, Bowen & Niu, Dongxiao, 2018. "Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China," Energy Policy, Elsevier, vol. 115(C), pages 330-341.
    3. Qiang Zhao & Shuai Shao & Lingxing Lu & Xin Liu & Honglu Zhu, 2018. "A New PV Array Fault Diagnosis Method Using Fuzzy C-Mean Clustering and Fuzzy Membership Algorithm," Energies, MDPI, vol. 11(1), pages 1-21, January.
    4. Qi Wang & Ping Chang & Runqing Bai & Wenfei Liu & Jianfeng Dai & Yi Tang, 2019. "Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station," Energies, MDPI, vol. 12(18), pages 1-16, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Ouyang & Lu Qu & Qiyang Liu & Baoye Tian & Zhichang Yuan & Peiqian Guo & Hongyi Dai & Weikun He, 2021. "Calculation and Analysis of the Interval Power Flow for Distributed Energy System Based on Affine Algorithm," Energies, MDPI, vol. 14(3), pages 1-14, January.
    2. Mengmeng Xiao & Shaorong Wang & Zia Ullah, 2021. "D-PMU and 5G-Network-Based Coordination Control Method for Three-Phase Imbalance Mitigation Units in the LVDN," Energies, MDPI, vol. 14(10), pages 1-12, May.

    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. Dan Craciunescu & Laurentiu Fara, 2023. "Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm," Energies, MDPI, vol. 16(3), pages 1-28, January.
    2. Wilfried van Sark, 2019. "Photovoltaic System Design and Performance," Energies, MDPI, vol. 12(10), pages 1-6, May.
    3. Bojan Kranjec & Sasa Sladic & Wojciech Giernacki & Neven Bulic, 2018. "PV System Design and Flight Efficiency Considerations for Fixed-Wing Radio-Controlled Aircraft—A Case Study," Energies, MDPI, vol. 11(10), pages 1-12, October.
    4. Jan K. Kazak & Joanna A. Kamińska & Rafał Madej & Marta Bochenkiewicz, 2020. "Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support," Energies, MDPI, vol. 13(21), pages 1-26, October.
    5. Abdulhamid Atia & Fatih Anayi & Min Gao, 2022. "Influence of Shading on Solar Cell Parameters and Modelling Accuracy Improvement of PV Modules with Reverse Biased Solar Cells," Energies, MDPI, vol. 15(23), pages 1-19, November.
    6. Giovanni Cipriani & Antonino D’Amico & Stefania Guarino & Donatella Manno & Marzia Traverso & Vincenzo Di Dio, 2020. "Convolutional Neural Network for Dust and Hotspot Classification in PV Modules," Energies, MDPI, vol. 13(23), pages 1-17, December.
    7. Shangjia Wang & Wenhui Zhao & Shuwen Fan & Lei Xue & Zijuan Huang & Zhigang Liu, 2022. "Is the Renewable Portfolio Standard in China Effective? Research on RPS Allocation Efficiency in Chinese Provinces Based on the Zero-Sum DEA Model," Energies, MDPI, vol. 15(11), pages 1-18, May.
    8. John Storm & Adam Smith, 2022. "Empathize with Whom? Adopting a Design Thinking Mind-Set to Stimulate Sustainability Initiatives in Chinese SMEs," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    9. Lin, Boqiang & Li, Minyang, 2022. "Understanding the investment of renewable energy firms in the face of economic policy uncertainty – Micro-evidence from listed companies in China," China Economic Review, Elsevier, vol. 75(C).
    10. Yongyi Huang & Atsushi Yona & Hiroshi Takahashi & Ashraf Mohamed Hemeida & Paras Mandal & Alexey Mikhaylov & Tomonobu Senjyu & Mohammed Elsayed Lotfy, 2021. "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    11. Ahmed Al Mansur & Md. Ruhul Amin & Kazi Khairul Islam, 2019. "Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations," Energies, MDPI, vol. 12(5), pages 1-21, March.
    12. Liu, Da & Liu, Yumeng & Sun, Kun, 2021. "Policy impact of cancellation of wind and photovoltaic subsidy on power generation companies in China," Renewable Energy, Elsevier, vol. 177(C), pages 134-147.
    13. Zheng, Jiajia & Wang, Xingwu, 2021. "Can mobile information communication technologies (ICTs) promote the development of renewables?-evidence from seven countries," Energy Policy, Elsevier, vol. 149(C).
    14. Hu, Xing & Guo, Yingying & Zheng, Yali & Liu, Lan-cui & Yu, Shiwei, 2022. "Which types of policies better promote the development of renewable energy? Evidence from China's provincial data," Renewable Energy, Elsevier, vol. 198(C), pages 1373-1382.
    15. Oscar Danilo Montoya & Luis Fernando Grisales-Noreña & Alberto-Jesus Perea-Moreno, 2021. "Optimal Investments in PV Sources for Grid-Connected Distribution Networks: An Application of the Discrete–Continuous Genetic Algorithm," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    16. Mellit, Adel & Kalogirou, Soteris, 2021. "Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    17. Mansouri, Seyed Amir & Nematbakhsh, Emad & Ahmarinejad, Amir & Jordehi, Ahmad Rezaee & Javadi, Mohammad Sadegh & Marzband, Mousa, 2022. "A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    18. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    19. Handrea Bernando Tambunan & Dzikri Firmansyah Hakam & Iswan Prahastono & Anita Pharmatrisanti & Andreas Putro Purnomoadi & Siti Aisyah & Yonny Wicaksono & I Gede Ryan Sandy, 2020. "The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System," Energies, MDPI, vol. 13(22), pages 1-22, November.
    20. Wang, Haizheng & Zhao, Jian & Sun, Qian & Zhu, Honglu, 2019. "Probability modeling for PV array output interval and its application in fault diagnosis," Energy, Elsevier, vol. 189(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:12:y:2019:i:20:p:4008-:d:278900. 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.