IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i14p5279-d1190747.html
   My bibliography  Save this article

A Coordinated Voltage Regulation Algorithm of a Power Distribution Grid with Multiple Photovoltaic Distributed Generators Based on Active Power Curtailment and On-Line Tap Changer

Author

Listed:
  • Yassir Maataoui

    (TED:AEEP, FPL, Abdelmalek Essaadi University, Tetouan 93000, Morocco)

  • Hamid Chekenbah

    (TED:AEEP, FPL, Abdelmalek Essaadi University, Tetouan 93000, Morocco)

  • Omar Boutfarjoute

    (TED:AEEP, FPL, Abdelmalek Essaadi University, Tetouan 93000, Morocco)

  • Vicenç Puig

    (Supervision, Safety and Automatic Control Research Center (CS2AC), The Universitat Politécnica de Catalunya, Rambla Sant Nebridi, 22, 08222 Barcelona, Spain)

  • Rafik Lasri

    (TED:AEEP, FPL, Abdelmalek Essaadi University, Tetouan 93000, Morocco)

Abstract

The aim of this research is to manage the voltage of an active distribution grid with a low X / R ratio and multiple Photovoltaic Distributed Generators (PVDGs) operating under varying conditions. This is achieved by providing a methodology for coordinating three voltage-based controllers implementing an Adaptive Neuro-Fuzzy Inference System (ANFIS). The first controller is for the On-Line Tap Changer (OLTC), which computes its adequate voltage reference. Whereas the second determines the required Active Power Curtailment (APC) setpoint for PVDG units with the aim of regulating the voltage magnitude and preventing continuous tap operation (the hunting problem) of OLTC. Finally, the last component is an auxiliary controller designed for reactive power adjustment. Its function is to manage voltage at the Common Coupling Point (CCP) within the network. This regulation not only aids in preventing undue stress on the OLTC but also contributes to a modest reduction in active power generated by PVDGs. The algorithm coordinating between these three controllers is simulated in MATLAB/SIMULINK and tested on a modified IEEE 33-bus power distribution grid (PDG). The results revealed the efficacy of the adopted algorithm in regulating voltage magnitudes in all buses compared to the traditional control method.

Suggested Citation

  • Yassir Maataoui & Hamid Chekenbah & Omar Boutfarjoute & Vicenç Puig & Rafik Lasri, 2023. "A Coordinated Voltage Regulation Algorithm of a Power Distribution Grid with Multiple Photovoltaic Distributed Generators Based on Active Power Curtailment and On-Line Tap Changer," Energies, MDPI, vol. 16(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5279-:d:1190747
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/14/5279/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/14/5279/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Murray, William & Adonis, Marco & Raji, Atanda, 2021. "Voltage control in future electrical distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    2. Razavi, Seyed-Ehsan & Rahimi, Ehsan & Javadi, Mohammad Sadegh & Nezhad, Ali Esmaeel & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Impact of distributed generation on protection and voltage regulation of distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 157-167.
    3. Ali, Md Sawkat & Haque, Md Mejbaul & Wolfs, Peter, 2019. "A review of topological ordering based voltage rise mitigation methods for LV distribution networks with high levels of photovoltaic penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 463-476.
    4. Qiangqiang Xie & Xiangrong Shentu & Xusheng Wu & Yi Ding & Yongzhu Hua & Jiadong Cui, 2019. "Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm," Energies, MDPI, vol. 12(10), pages 1-19, May.
    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. Xiaozhi Gao & Jiaqi Zhang & Huiqin Sun & Yongchun Liang & Leiyuan Wei & Caihong Yan & Yicong Xie, 2024. "A Review of Voltage Control Studies on Low Voltage Distribution Networks Containing High Penetration Distributed Photovoltaics," Energies, MDPI, vol. 17(13), pages 1-24, June.

    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. Linglei Xu & Qiangqiang Xie & Liang Zheng & Yongzhu Hua & Lihuan Shao & Jiadong Cui, 2022. "Stackelberg-Game-Based Demand Response for Voltage Regulation in Distribution Network with High Penetration of Electric Vehicles," Energies, MDPI, vol. 15(10), pages 1-13, May.
    2. Emrani-Rahaghi, Pouria & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2023. "Efficient voltage control of low voltage distribution networks using integrated optimized energy management of networked residential multi-energy microgrids," Applied Energy, Elsevier, vol. 349(C).
    3. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    4. A.S. Jameel Hassan & Umar Marikkar & G.W. Kasun Prabhath & Aranee Balachandran & W.G. Chaminda Bandara & Parakrama B. Ekanayake & Roshan I. Godaliyadda & Janaka B. Ekanayake, 2021. "A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration," Energies, MDPI, vol. 14(20), pages 1-24, October.
    5. Ahmed Y. Hatata & Mohamed A. Essa & Bishoy E. Sedhom, 2022. "Implementation and Design of FREEDM System Differential Protection Method Based on Internet of Things," Energies, MDPI, vol. 15(15), pages 1-24, August.
    6. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
    7. Murillo Cobe Vargas & Oureste Elias Batista & Yongheng Yang, 2023. "Estimation Method of Short-Circuit Current Contribution of Inverter-Based Resources for Symmetrical Faults," Energies, MDPI, vol. 16(7), pages 1-27, March.
    8. Gupta, Akhil, 2022. "Power quality evaluation of photovoltaic grid interfaced cascaded H-bridge nine-level multilevel inverter systems using D-STATCOM and UPQC," Energy, Elsevier, vol. 238(PB).
    9. Devabalaji Kaliaperumal Rukmani & Yuvaraj Thangaraj & Umashankar Subramaniam & Sitharthan Ramachandran & Rajvikram Madurai Elavarasan & Narottam Das & Luis Baringo & Mohamed Imran Abdul Rasheed, 2020. "A New Approach to Optimal Location and Sizing of DSTATCOM in Radial Distribution Networks Using Bio-Inspired Cuckoo Search Algorithm," Energies, MDPI, vol. 13(18), pages 1-21, September.
    10. Azeredo, Lucas F.S. & Yahyaoui, Imene & Fiorotti, Rodrigo & Fardin, Jussara F. & Garcia-Pereira, Hilel & Rocha, Helder R.O., 2023. "Study of reducing losses, short-circuit currents and harmonics by allocation of distributed generation, capacitor banks and fault current limiters in distribution grids," Applied Energy, Elsevier, vol. 350(C).
    11. Yongzhu Hua & Qiangqiang Xie & Liang Zheng & Jiadong Cui & Lihuan Shao & Weiwei Hu, 2022. "Coordinated Voltage Control Strategy by Optimizing the Limited Regulation Capacity of Air Conditioners," Energies, MDPI, vol. 15(9), pages 1-14, April.
    12. Xiangdong Wang & Lei Wang & Wenfa Kang & Tiecheng Li & Hao Zhou & Xuekai Hu & Kai Sun, 2022. "Distributed Nodal Voltage Regulation Method for Low-Voltage Distribution Networks by Sharing PV System Reactive Power," Energies, MDPI, vol. 16(1), pages 1-15, December.
    13. Wiktor Wróblewski & Ryszard Kowalik & Marcin Januszewski & Karol Kurek, 2024. "A Fuzzy OLTC Controller: Applicability in the Transition Stage of the Energy System Transformation," Energies, MDPI, vol. 17(11), pages 1-16, June.
    14. Aleksandr Kulikov & Anton Loskutov & Dmitriy Bezdushniy, 2022. "Relay Protection and Automation Algorithms of Electrical Networks Based on Simulation and Machine Learning Methods," Energies, MDPI, vol. 15(18), pages 1-19, September.
    15. Thomas Geury & Sonia Ferreira Pinto & Johan Gyselinck & Patrick Wheeler, 2020. "Indirect Matrix Converter-Based Grid-Tied Photovoltaics System for Smart Grids," Energies, MDPI, vol. 13(20), pages 1-19, October.
    16. Igor Cavalcante Torres & Gustavo F. Negreiros & Chigueru Tiba, 2019. "Theoretical and Experimental Study to Determine Voltage Violation, Reverse Electric Current and Losses in Prosumers Connected to Low-Voltage Power Grid," Energies, MDPI, vol. 12(23), pages 1-20, November.
    17. Peng Tian & Zetao Li & Zhenghang Hao, 2019. "A Doubly-Fed Induction Generator Adaptive Control Strategy and Coordination Technology Compatible with Feeder Automation," Energies, MDPI, vol. 12(23), pages 1-21, November.
    18. Angelo Lunardi & Eliomar R. Conde D & Jefferson de Assis & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2021. "Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted," Energies, MDPI, vol. 14(16), pages 1-13, August.
    19. Pereira, Luan D.L. & Yahyaoui, Imene & Fiorotti, Rodrigo & de Menezes, Luíza S. & Fardin, Jussara F. & Rocha, Helder R.O. & Tadeo, Fernando, 2022. "Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations," Applied Energy, Elsevier, vol. 307(C).
    20. Wang, Yi & Von Krannichfeldt, Leandro & Zufferey, Thierry & Toubeau, Jean-François, 2021. "Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach," Applied Energy, Elsevier, vol. 304(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:16:y:2023:i:14:p:5279-:d:1190747. 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.