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Optimal Voltage Control in MV Network with Distributed Generation

Author

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  • Piotr Kacejko

    (Department of Power Engineering, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 20-618 Lublin, Poland)

  • Paweł Pijarski

    (Department of Power Engineering, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 20-618 Lublin, Poland)

Abstract

The article presents the concept of voltage control in a medium-voltage network, using the classical control of a HV/MV (High Voltage/Medium Voltage) transformer and active participation of distributed generation sources. The proposed solution is based on the results of the optimization process. The objective function is considered as a single-criterion—the voltage quality indicator or value of power losses in the network, and optionally as two-criteria (voltage quality and losses combined, with appropriately selected weight factors). The analysis carried out for random selection of independent variables, using the original heuristic algorithm, indicated a very high efficiency of the proposed control process, compared to the traditional approach. A significant improvement in the voltage quality index and reduction of losses was found, which justifies the advisability of looking for new solutions in the field of voltage control in MV networks, taking into account active participation of distributed generation.

Suggested Citation

  • Piotr Kacejko & Paweł Pijarski, 2021. "Optimal Voltage Control in MV Network with Distributed Generation," Energies, MDPI, vol. 14(2), pages 1-19, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:469-:d:481818
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    References listed on IDEAS

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    1. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Dong Ryeol Shin, 2017. "Multi-Objective Planning Techniques in Distribution Networks: A Composite Review," Energies, MDPI, vol. 10(2), pages 1-44, February.
    2. Erfan Mohagheghi & Mansour Alramlawi & Aouss Gabash & Pu Li, 2018. "A Survey of Real-Time Optimal Power Flow," Energies, MDPI, vol. 11(11), pages 1-20, November.
    3. Petinrin, J.O. & Shaabanb, Mohamed, 2016. "Impact of renewable generation on voltage control in distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 770-783.
    4. 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.
    5. Sharma, Vanika & Aziz, Syed Mahfuzul & Haque, Mohammed H. & Kauschke, Travis, 2020. "Effects of high solar photovoltaic penetration on distribution feeders and the economic impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Tengku Juhana Tengku Hashim & Azah Mohamed, 2017. "Optimal coordinated voltage control in active distribution networks using backtracking search algorithm," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-20, October.
    7. Chan-Hyeok Oh & Seok-Il Go & Joon-Ho Choi & Seon-Ju Ahn & Sang-Yun Yun, 2020. "Voltage Estimation Method for Power Distribution Networks Using High-Precision Measurements," Energies, MDPI, vol. 13(9), pages 1-23, May.
    8. Niknam, Taher & Firouzi, Bahman Bahmani & Ostadi, Amir, 2010. "A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators," Applied Energy, Elsevier, vol. 87(6), pages 1919-1928, June.
    9. Jinling Lu & Bo Wang & Hui Ren & Daqian Zhao & Fei Wang & Miadreza Shafie-khah & João P. S. Catalão, 2017. "Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models," Energies, MDPI, vol. 10(10), pages 1-13, October.
    10. Sarimuthu, Charles R. & Ramachandaramurthy, Vigna K. & Agileswari, K.R. & Mokhlis, Hazlie, 2016. "A review on voltage control methods using on-load tap changer transformers for networks with renewable energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1154-1161.
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    Cited by:

    1. Elena Sosnina & Aleksey Kralin & Anatoly Asabin & Evgeny Kryukov, 2022. "Medium-Voltage Distribution Network Parameter Optimization Using a Thyristor Voltage Regulator," Energies, MDPI, vol. 15(15), pages 1-14, August.
    2. Krzysztof Łowczowski & Zbigniew Nadolny, 2022. "Voltage Fluctuations and Flicker in Prosumer PV Installation," Energies, MDPI, vol. 15(6), pages 1-18, March.
    3. Paweł Pijarski & Piotr Kacejko & Piotr Miller, 2023. "Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 16(6), pages 1-20, March.
    4. Paweł Pijarski & Piotr Kacejko & Marek Wancerz, 2022. "Voltage Control in MV Network with Distributed Generation—Possibilities of Real Quality Enhancement," Energies, MDPI, vol. 15(6), pages 1-22, March.

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