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Optimization of Voltage Unbalance Compensation by Smart Inverter

Author

Listed:
  • Ryuto Shigenobu

    (Faculty of Engineering, Electrical and Electronics Engineering, Fukui University, 3-9-1 Bunkyo, Fukui-shi, Fukui 910-8507, Japan
    These authors contributed equally to this work.)

  • Akito Nakadomari

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

  • Ying-Yi Hong

    (Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
    These authors contributed equally to this work.)

  • Paras Mandal

    (Department of Electrical and Computer Engineering, Power and Renewable Energy Systems (PRES) Lab, University of Texas at El Paso, El Paso, TX 79968, USA
    These authors contributed equally to this work.)

  • Hiroshi Takahashi

    (Fuji Electric Co., Ltd., Tokyo 141-0032, Japan
    These authors contributed equally to this work.)

  • Tomonobu Senjyu

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

Abstract

This paper presents a compensation method for unbalanced voltage through active and reactive power control by utilizing a smart inverter that improves the voltage unbalance index and detects an unbalanced state of voltage magnitude and phase, and thus enhances power quality by minimizing the voltage imbalance. First of all, this paper presents an analysis of a mathematical approach, which demonstrates that the conventional voltage unbalanced factor (VUF) using the symmetrical component cannot correctly detect the imbalanced state from index equations; and by only minimizing the VUF value, it cannot establish a balanced condition for an unbalanced state of the voltage profile. This paper further discusses that intermittent photovoltaic (PV) output power and diversified load demand lead to an unexpected voltage imbalance. Therefore, considering the complexity of unbalanced voltage conditions, a specific load and an PV profile were extracted from big data and applied to the distribution system model. The effectiveness of the proposed scheme was verified by comparing VUF indices and controlling the active and reactive power of a smart inverter through a numerical simulation.

Suggested Citation

  • Ryuto Shigenobu & Akito Nakadomari & Ying-Yi Hong & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Optimization of Voltage Unbalance Compensation by Smart Inverter," Energies, MDPI, vol. 13(18), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4623-:d:409450
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    References listed on IDEAS

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    1. Richard E. Brown & Rick Pinkerton, 2019. "Distribution Reliability Optimization Using Synthetic Feeders," Energies, MDPI, vol. 12(18), pages 1-15, September.
    2. Babak Arbab-Zavar & Emilio J. Palacios-Garcia & Juan C. Vasquez & Josep M. Guerrero, 2019. "Smart Inverters for Microgrid Applications: A Review," Energies, MDPI, vol. 12(5), pages 1-22, March.
    3. Hyeong-Jin Lee & Kwang-Hoon Yoon & Joong-Woo Shin & Jae-Chul Kim & Sung-Min Cho, 2020. "Optimal Parameters of Volt–Var Function in Smart Inverters for Improving System Performance," Energies, MDPI, vol. 13(9), pages 1-15, May.
    4. Oludamilare Bode Adewuyi & Mikaeel Ahmadi & Isaiah Opeyemi Olaniyi & Tomonobu Senjyu & Temitayo Olayemi Olowu & Paras Mandal, 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets," Energies, MDPI, vol. 12(22), pages 1-16, November.
    5. Robert Thorndike, 1953. "Who belongs in the family?," Psychometrika, Springer;The Psychometric Society, vol. 18(4), pages 267-276, December.
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    Cited by:

    1. Zbigniew Olczykowski, 2021. "Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry," Energies, MDPI, vol. 14(16), pages 1-18, August.
    2. Akito Nakadomari & Ryuto Shigenobu & Takeyoshi Kato & Narayanan Krishnan & Ashraf Mohamed Hemeida & Hiroshi Takahashi & Tomonobu Senjyu, 2021. "Unbalanced Voltage Compensation with Optimal Voltage Controlled Regulators and Load Ratio Control Transformer," Energies, MDPI, vol. 14(11), pages 1-18, May.
    3. Yu Fujimoto & Akihisa Kaneko & Yutaka Iino & Hideo Ishii & Yasuhiro Hayashi, 2023. "Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects," Energies, MDPI, vol. 16(3), pages 1-26, January.
    4. Tostado-Véliz, Marcos & León-Japa, Rogelio S. & Jurado, Francisco, 2021. "Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities," Applied Energy, Elsevier, vol. 298(C).
    5. Luis Guasch-Pesquer & Sara García-Ríos & Adolfo Andres Jaramillo-Matta & Enric Vidal-Idiarte, 2022. "Improved Method for Determining Voltage Unbalance Factor Using Induction Motors," Energies, MDPI, vol. 15(23), pages 1-13, December.
    6. Daisuke Iioka & Takahiro Fujii & Toshio Tanaka & Tsuyoshi Harimoto & Junpei Motoyama & Daisuke Nagae, 2021. "Improvement of Voltage Unbalance by Current Injection Based on Unbalanced Line Impedance in Distribution Network with PV System," Energies, MDPI, vol. 14(23), pages 1-16, December.
    7. Taha Selim Ustun & Shuichi Sugahara & Masaichi Suzuki & Jun Hashimoto & Kenji Otani, 2020. "Power Hardware in-the-Loop Testing to Analyze Fault Behavior of Smart Inverters in Distribution Networks," Sustainability, MDPI, vol. 12(22), pages 1-18, November.

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