IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i21p2662-d661430.html
   My bibliography  Save this article

Coordinated Control of Single-Phase End-Users for Phase Load Balancing in Active Electric Distribution Networks

Author

Listed:
  • Gheorghe Grigoraș

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Livia Noroc

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Ecaterina Chelaru

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Florina Scarlatache

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Bogdan-Constantin Neagu

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Ovidiu Ivanov

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Mihai Gavrilaș

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

Abstract

In the paper, a coordinated control methodology of single-phase (1-P) end-users switching operations on the phases of an active electric distribution network (AEDN) has been proposed to obtain a minimum unbalance degree at the coupling common point (CCP) level with the main distribution system. The phase load balancing (PLB) process considers the smart devices that switch the 1-P end-users (consumers and prosumers) from one phase to another to compensate for the phase load unbalance. The proposed methodology has been tested successfully in an AEDN belonging to a Romanian Distribution Network Operator (DNO) containing 114 end-users (104 consumers/10 prosumers) integrated into the Smart Metering System (SMS). The optimal solution leads to a value of the objective function by 1.00, represented by the unbalance factor (UF), which could be identified with the ideal target. A comparative analysis was conducted considering other possible PLB cases (the consumer-level PLB and prosumer-level PLB), obtaining similar values of the UF (1.027 vs. 1.028), slightly higher than in the hybrid-level PLB. Additionally, the significant technical benefits were quantified through an energy-saving of 58.73% and decreasing the phase voltage unbalance rate by 91% compared to the initial case (without PLB). These results emphasized the positive impact of the proposed coordinated control methodology on the PLB process and evidenced its effectiveness and applicability in the AEDNs.

Suggested Citation

  • Gheorghe Grigoraș & Livia Noroc & Ecaterina Chelaru & Florina Scarlatache & Bogdan-Constantin Neagu & Ovidiu Ivanov & Mihai Gavrilaș, 2021. "Coordinated Control of Single-Phase End-Users for Phase Load Balancing in Active Electric Distribution Networks," Mathematics, MDPI, vol. 9(21), pages 1-29, October.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2662-:d:661430
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/21/2662/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/21/2662/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guanghai Bao & Sikai Ke, 2019. "Load Transfer Device for Solving a Three-Phase Unbalance Problem Under a Low-Voltage Distribution Network," Energies, MDPI, vol. 12(15), pages 1-18, July.
    2. Xiaojun (Gene) Shan & Frank A. Felder & David W. Coit, 2017. "Game-theoretic models for electric distribution resiliency/reliability from a multiple stakeholder perspective," IISE Transactions, Taylor & Francis Journals, vol. 49(2), pages 159-177, February.
    3. Gheorghe Grigoras & Bogdan-Constantin Neagu, 2019. "Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks," Energies, MDPI, vol. 12(15), pages 1-27, August.
    4. Rui Li & Wei Wang & Zhe Chen & Jiuchun Jiang & Weige Zhang, 2017. "A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches," Energies, MDPI, vol. 10(11), pages 1-27, October.
    5. Rozmysław Mieński & Przemysław Urbanek & Irena Wasiak, 2021. "Using Energy Storage Inverters of Prosumer Installations for Voltage Control in Low-Voltage Distribution Networks," Energies, MDPI, vol. 14(4), pages 1-21, February.
    6. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2021. "A review on resilience studies in active distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(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. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Mihai Gavrilaș & Ion Triștiu & Constantin Bulac, 2020. "Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    2. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Florina Scarlatache & Livia Noroc & Ecaterina Chelaru, 2021. "Bi-Level Phase Load Balancing Methodology with Clustering-Based Consumers’ Selection Criterion for Switching Device Placement in Low Voltage Distribution Networks," Mathematics, MDPI, vol. 9(5), pages 1-36, March.
    3. Xinghua Wang & Fucheng Zhong & Yilin Xu & Xixian Liu & Zezhong Li & Jianan Liu & Zhuoli Zhao, 2023. "Extraction and Joint Method of PV–Load Typical Scenes Considering Temporal and Spatial Distribution Characteristics," Energies, MDPI, vol. 16(18), pages 1-19, September.
    4. Jesus Beyza & Jose M. Yusta, 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures," Energies, MDPI, vol. 14(7), pages 1-18, April.
    5. Štěpán Kavan & Olga Dvořáčková & Jiří Pokorný & Lenka Brumarová, 2021. "Long-Term Power Outage and Preparedness of the Population of a Region in the Czech Republic—A Case Study," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    6. Nikolaos Koutsoukis & Pavlos Georgilakis, 2019. "A Chance-Constrained Multistage Planning Method for Active Distribution Networks," Energies, MDPI, vol. 12(21), pages 1-19, October.
    7. Tomáš Fröhlich & Zdeněk Hon & Martin Staněk & Jiří Slabý, 2023. "Method of Identification and Assessment of Security Needs of a Region against the Threat of a Large Power Outage," Energies, MDPI, vol. 16(11), pages 1-16, May.
    8. Liu, Hanchen & Wang, Chong & Ju, Ping & Li, Hongyu, 2022. "A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    9. Dillip Kumar Mishra & Daria Złotecka & Li Li, 2022. "Significance of SMES Devices for Power System Frequency Regulation Scheme considering Distributed Energy Resources in a Deregulated Environment," Energies, MDPI, vol. 15(5), pages 1-32, February.
    10. Ildar Daminov & Rémy Rigo-Mariani & Raphael Caire & Anton Prokhorov & Marie-Cécile Alvarez-Hérault, 2021. "Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime," Energies, MDPI, vol. 14(5), pages 1-27, March.
    11. Wu, Chuantao & Wang, Tao & Zhou, Dezhi & Cao, Shankang & Sui, Quan & Lin, Xiangning & Li, Zhengtian & Wei, Fanrong, 2023. "A distributed restoration framework for distribution systems incorporating electric buses," Applied Energy, Elsevier, vol. 331(C).
    12. Nicholas D. de Andrade & Ruben B. Godoy & Edson A. Batista & Moacyr A. G. de Brito & Rafael L. R. Soares, 2022. "Embedded FPGA Controllers for Current Compensation Based on Modern Power Theories," Energies, MDPI, vol. 15(17), pages 1-17, August.
    13. Mohammed, Nooriya A. & Al-Bazi, Ammar, 2021. "Management of renewable energy production and distribution planning using agent-based modelling," Renewable Energy, Elsevier, vol. 164(C), pages 509-520.
    14. Ghasemi, Sasan & Moshtagh, Jamal, 2022. "Distribution system restoration after extreme events considering distributed generators and static energy storage systems with mobile energy storage systems dispatch in transportation systems," Applied Energy, Elsevier, vol. 310(C).
    15. Mulusew Ayalew & Baseem Khan & Issaias Giday & Om Prakash Mahela & Mahdi Khosravy & Neeraj Gupta & Tomonobu Senjyu, 2022. "Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning," Energies, MDPI, vol. 15(4), pages 1-17, February.
    16. Adam Lesniak & Dawid Chudy & Rafal Dzikowski, 2020. "Modelling of Distributed Resource Aggregation for the Provision of Ancillary Services," Energies, MDPI, vol. 13(18), pages 1-16, September.
    17. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    18. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Roberto C. Leborgne & Luís A. Pereira, 2022. "A Framework for Reliability Assessment in Expansion Planning of Power Distribution Systems," Energies, MDPI, vol. 15(14), pages 1-24, July.
    19. Wang, Chong & Ju, Ping & Wu, Feng & Lei, Shunbo & Pan, Xueping, 2021. "Sequential steady-state security region-based transmission power system resilience enhancement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    20. Alex Valenzuela & Iván Montalvo & Esteban Inga, 2019. "A Decision-Making Tool for Electric Distribution Network Planning Based on Heuristics and Georeferenced Data," Energies, MDPI, vol. 12(21), pages 1-18, October.

    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:jmathe:v:9:y:2021:i:21:p:2662-:d:661430. 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.