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Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm

Author

Listed:
  • Qiangqiang Xie

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
    College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Xiangrong Shentu

    (College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Xusheng Wu

    (College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China)

  • Yi Ding

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yongzhu Hua

    (College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Jiadong Cui

    (College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

The growing penetration of photovoltaic (PV) systems may cause an over-voltage problem in power distribution systems. Meanwhile, charging of massive electric vehicles may cause an under-voltage problem. The over- and under-voltage problems make the voltage regulation become more challenging in future power distribution systems. Due to the development of smart grid and demand response, flexible resources such as PV inverters and controllable loads can be utilized for voltage regulation in distribution systems. However, the voltage regulation needs to calculate the nonlinear power flow; as a result, utilizing flexible resources for voltage regulation is a nonlinear scheduling problem requiring heavy computational resources. This study proposes an intelligent search algorithm called voltage ranking search algorithm (VRSA) to solve the optimization of flexible resource scheduling for voltage regulation. The VRSA is built based on the features of radial power distribution systems. A numerical simulation test is carried out on typical power distribution systems. The VRSA is compared with the genetic algorithm and voltage sensitivity method. The results show that the VRSA has the best optimization effect among the three algorithms. By utilizing flexible resources through demand response, the tap operation times of on-load tap changers can be reduced.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1902-:d:232341
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    References listed on IDEAS

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    1. Chaudhary, Priyanka & Rizwan, M., 2018. "Voltage regulation mitigation techniques in distribution system with high PV penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3279-3287.
    2. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
    3. Mahmud, Nasif & Zahedi, A., 2016. "Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 582-595.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Igor Cavalcante Torres & Daniel M. Farias & Andre L. L. Aquino & Chigueru Tiba, 2021. "Voltage Regulation For Residential Prosumers Using a Set of Scalable Power Storage," Energies, MDPI, vol. 14(11), pages 1-28, June.
    7. 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.
    8. Gharibvand, Hossein & Gharehpetian, G.B. & Anvari-Moghaddam, A., 2024. "A survey on microgrid flexibility resources, evaluation metrics and energy storage effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).

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