IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i1p249-d304983.html
   My bibliography  Save this article

Multiple Spatiotemporal Characteristics-Based Zonal Voltage Control for High Penetrated PVs in Active Distribution Networks

Author

Listed:
  • Chuanliang Xiao

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
    Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China)

  • Lei Sun

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
    Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China)

  • Ming Ding

    (School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
    Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China)

Abstract

The penetration of photovoltaic (PV) outputs brings great challenges to optimal operation of active distribution networks (ADNs), especially leading to more serious overvoltage problems. This study proposes a zonal voltage control scheme based on multiple spatiotemporal characteristics for highly penetrated PVs in ADNs. In the spatial domain, a community detection algorithm using a reactive/ active power quality function was introduced to partition an ADN into sub-networks. In the time domain, short-term zonal scheduling (SZS) with 1 h granularity was drawn up based on a cluster. The objective was to minimize the supported reactive power and the curtailed active power in reactive and active power sub-networks. Additionally, a real-time zonal voltage control scheme (RZVC) with 1 min granularity was proposed to correct the SZS rapidly by choosing and controlling the key PV inverter to regulate the supported reactive power and the curtailed active power of the inverters to prevent the overvoltage in each sub-network. With the time domain cooperation, the proposed method could achieve economic control and avoid overvoltage caused by errors in the forecast data of the PVs. For the spatial domain, zonal scheduling and zonal voltage control were carried out in each cluster, and the short-term scheduling and voltage controlling problem of the ADN could then be decomposed into several sub-problems. This could simplify the optimization and control which can reduce the computing time. Finally, an actual 10kV, 103-node network in Zhejiang Province of China is employed to verify the effectiveness and feasibility of the proposed approach.

Suggested Citation

  • Chuanliang Xiao & Lei Sun & Ming Ding, 2020. "Multiple Spatiotemporal Characteristics-Based Zonal Voltage Control for High Penetrated PVs in Active Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:249-:d:304983
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/1/249/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/1/249/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anna Rita Di Fazio & Mario Russo & Michele De Santis, 2019. "Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources," Energies, MDPI, vol. 12(3), pages 1-28, January.
    2. Chuanliang Xiao & Bo Zhao & Ming Ding & Zhihao Li & Xiaohui Ge, 2017. "Zonal Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks with High Proportion of PVs," Energies, MDPI, vol. 10(10), pages 1-23, 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. Jean-François Toubeau & Bashir Bakhshideh Zad & Martin Hupez & Zacharie De Grève & François Vallée, 2020. "Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks," Energies, MDPI, vol. 13(15), pages 1-15, August.
    2. Wenwen Sun & Guoqing He, 2023. "Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks," Energies, MDPI, vol. 16(11), pages 1-13, May.
    3. Xingye Deng & Canwei Liu & Hualiang Liu & Lei Chen & Yuyan Guo & Heding Zhen, 2023. "Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning," Energies, MDPI, vol. 16(17), pages 1-24, August.
    4. Bashir Bakhshideh Zad & Jean-François Toubeau & François Vallée, 2021. "Chance-Constrained Based Voltage Control Framework to Deal with Model Uncertainties in MV Distribution Systems," Energies, MDPI, vol. 14(16), pages 1-16, August.
    5. Antonio T. Alexandridis, 2020. "Modern Power System Dynamics, Stability and Control," Energies, MDPI, vol. 13(15), pages 1-8, July.

    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. Giuditta Pisano & Nayeem Chowdhury & Massimiliano Coppo & Nicola Natale & Giacomo Petretto & Gian Giuseppe Soma & Roberto Turri & Fabrizio Pilo, 2019. "Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information," Energies, MDPI, vol. 12(23), pages 1-24, November.
    2. Murray, William & Adonis, Marco & Raji, Atanda, 2021. "Voltage control in future electrical distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    3. Giuseppe Fusco & Mario Russo & Michele De Santis, 2021. "Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues," Energies, MDPI, vol. 14(9), pages 1-31, April.
    4. Jean-François Toubeau & Bashir Bakhshideh Zad & Martin Hupez & Zacharie De Grève & François Vallée, 2020. "Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks," Energies, MDPI, vol. 13(15), pages 1-15, August.
    5. Yinuo Huang & Licheng Wang & Kai Wang, 2019. "Investigation of Var Compensation Schemes in Unbalanced Distribution Systems," Complexity, Hindawi, vol. 2019, pages 1-13, October.
    6. Wenwen Sun & Guoqing He, 2023. "Cluster Partition-Based Voltage Control Combined Day-Ahead Scheduling and Real-Time Control for Distribution Networks," Energies, MDPI, vol. 16(11), pages 1-13, May.
    7. Abdullah Albaker & Mansoor Alturki & Rabeh Abbassi & Khalid Alqunun, 2022. "Zonal-Based Optimal Microgrids Identification," Energies, MDPI, vol. 15(7), pages 1-15, March.

    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:13:y:2020:i:1:p:249-:d:304983. 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.