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Reactive power compensation using derated power generation mode of modified P&O algorithm in grid-interfaced PV system

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  • Kumar, Vinit
  • Singh, Mukesh

Abstract

A local load connected with the grid-interfaced photovoltaic (GIPV) system demands reactive power compensation at the distribution level. The compensation either fulfilled by the PV inverter or grid side arrangements such as capacitor bank, static VAR compensator or tap-changing transformers. Amongst both, the inverter has merit to compensate reactive power without using an additional compensator or oversizing the inverter rating. However, it always depends upon the availability of irradiance and especially when the inverter transfers power with full capacity has no margin to generate the reactive power. Therefore, to make the system flexible according to the demand of the local loads and to create a margin to generate the reactive power at any time instant, a GIPV system with modified perturb & observe (MP&O) maximum power point tracking (MPPT) technique has been proposed. This proposed technique with an intermediate boost converter extracts maximum power more efficiently as compared to the traditional MPPT technique. On the other hand, it curtails the generated active power and provides margin for the PV inverter to generate the reactive power. Further, the PV inverter generates active and reactive power to the local loads as well as transfer power to the grid using inverter control. The inverter control comprises of decoupled instantaneous active and reactive power control. In this control scheme, it maintains the DC-link voltage and power flow between the GIPV system and the grid under all available irradiance conditions. In this respect, a 30 kW GIPV system is simulated and performance of the system is validated using real-time OP4510 hardware-in-loop (HIL) setup.

Suggested Citation

  • Kumar, Vinit & Singh, Mukesh, 2021. "Reactive power compensation using derated power generation mode of modified P&O algorithm in grid-interfaced PV system," Renewable Energy, Elsevier, vol. 178(C), pages 108-117.
    • Handle: RePEc:eee:renene:v:178:y:2021:i:c:p:108-117
    DOI: 10.1016/j.renene.2021.06.035
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    References listed on IDEAS

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    1. Trujillo, C.L. & Santamaría, F. & Gaona, E.E., 2016. "Modeling and testing of two-stage grid-connected photovoltaic micro-inverters," Renewable Energy, Elsevier, vol. 99(C), pages 533-542.
    2. Sivakumar, P. & Arutchelvi, M., 2017. "Maximum power extractions in a single stage PV sourced grid connected inverter during low irradiations and nonlinear loads," Renewable Energy, Elsevier, vol. 107(C), pages 262-270.
    3. Kolhe, Mohan Lal & Rasul, M.J.M.A., 2020. "3-Phase grid-connected building integrated photovoltaic system with reactive power control capability," Renewable Energy, Elsevier, vol. 154(C), pages 1065-1075.
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    Cited by:

    1. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    2. Gao, Fang & Hu, Rongzhao & Yin, Linfei, 2023. "Variable boundary reinforcement learning for maximum power point tracking of photovoltaic grid-connected systems," Energy, Elsevier, vol. 264(C).
    3. Daiva Stanelyte & Neringa Radziukyniene & Virginijus Radziukynas, 2022. "Overview of Demand-Response Services: A Review," Energies, MDPI, vol. 15(5), pages 1-31, February.

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