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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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    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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