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Reactive Power Compensation with PV Inverters for System Loss Reduction

Author

Listed:
  • Saša Vlahinić

    (Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia)

  • Dubravko Franković

    (Faculty of Engineering, University of Rijeka, 51000 Rijeka, Croatia)

  • Vitomir Komen

    (HEP—Distribution system operator, Elektroprimorje, 51000 Rijeka, Croatia)

  • Anamarija Antonić

    (HOPS–Croatian transmission system operator, 51211 Matulji, Croatia)

Abstract

Photovoltaic (PV) system inverters usually operate at unitary power factor, injecting only active power into the system. Recently, many studies have been done analyzing potential benefits of reactive power provisioning, such as voltage regulation, congestion mitigation and loss reduction. This article analyzes possibilities for loss reduction in a typical medium voltage distribution system. Losses in the system are compared to the losses in the PV inverters. Different load conditions and PV penetration levels are considered and for each scenario various active power generation by PV inverters are taken into account, together with allowable levels of reactive power provisioning. As far as loss reduction is considered, there is very small number of PV inverters operating conditions for which positive energy balance exists. For low and medium load levels, there is no practical possibility for loss reduction. For high loading levels and higher PV penetration specific reactive savings, due to reactive power provisioning, increase and become bigger than additional losses in PV inverters, but for a very limited range of power factors.

Suggested Citation

  • Saša Vlahinić & Dubravko Franković & Vitomir Komen & Anamarija Antonić, 2019. "Reactive Power Compensation with PV Inverters for System Loss Reduction," Energies, MDPI, vol. 12(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4062-:d:280085
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    References listed on IDEAS

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    1. Shunjiang Lin & Sen He & Haipeng Zhang & Mingbo Liu & Zhiqiang Tang & Hao Jiang & Yunong Song, 2019. "Robust Optimal Allocation of Decentralized Reactive Power Compensation in Three-Phase Four-Wire Low-Voltage Distribution Networks Considering the Uncertainty of Photovoltaic Generation," Energies, MDPI, vol. 12(13), pages 1-20, June.
    2. Hua Li & Che Wen & Kuei-Hsiang Chao & Ling-Ling Li, 2017. "Research on Inverter Integrated Reactive Power Control Strategy in the Grid-Connected PV Systems," Energies, MDPI, vol. 10(7), pages 1-21, July.
    3. Fermín Barrero-González & Victor Fernão Pires & José L. Sousa & João F. Martins & María Isabel Milanés-Montero & Eva González-Romera & Enrique Romero-Cadaval, 2019. "Photovoltaic Power Converter Management in Unbalanced Low Voltage Networks with Ancillary Services Support," Energies, MDPI, vol. 12(6), pages 1-16, March.
    4. Yunqi Xiao & Yi Wang & Yanping Sun, 2018. "Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses," Energies, MDPI, vol. 11(11), pages 1-15, November.
    5. Gandhi, Oktoviano & Rodríguez-Gallegos, Carlos D. & Zhang, Wenjie & Srinivasan, Dipti & Reindl, Thomas, 2018. "Economic and technical analysis of reactive power provision from distributed energy resources in microgrids," Applied Energy, Elsevier, vol. 210(C), pages 827-841.
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    Cited by:

    1. Cícero Augusto de Souza & Diego Jose da Silva & Priscila Rossoni & Edmarcio Antonio Belati & Ademir Pelizari & Jesús M. López-Lezama & Nicolás Muñoz-Galeano, 2023. "Multi-Period Optimal Power Flow with Photovoltaic Generation Considering Optimized Power Factor Control," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    2. Paolo Tenti & Tommaso Caldognetto, 2023. "Integration of Local and Central Control Empowers Cooperation among Prosumers and Distributors towards Safe, Efficient, and Cost-Effective Operation of Microgrids," Energies, MDPI, vol. 16(5), pages 1-23, February.
    3. Zbigniew Kłosowski & Łukasz Mazur, 2023. "Influence of the Type of Receiver on Electrical Energy Losses in Power Grids," Energies, MDPI, vol. 16(15), pages 1-22, July.
    4. González-Ordiano, Jorge Ángel & Mühlpfordt, Tillmann & Braun, Eric & Liu, Jianlei & Çakmak, Hüseyin & Kühnapfel, Uwe & Düpmeier, Clemens & Waczowicz, Simon & Faulwasser, Timm & Mikut, Ralf & Hagenmeye, 2021. "Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow," Applied Energy, Elsevier, vol. 302(C).
    5. Nevena Srećković & Miran Rošer & Gorazd Štumberger, 2021. "Utilization of Active Distribution Network Elements for Optimization of a Distribution Network Operation," Energies, MDPI, vol. 14(12), pages 1-17, June.

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