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A Novel Supervisory Control Algorithm to Improve the Performance of a Real-Time PV Power-Hardware-In-Loop Simulator with Non-RTDS

Author

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  • Dae-Jin Kim

    (System Convergence Laboratory, Korea Institute of Energy Research, Jeju 63357, Korea)

  • Byungki Kim

    (System Convergence Laboratory, Korea Institute of Energy Research, Jeju 63357, Korea)

  • Hee-Sang Ko

    (System Convergence Laboratory, Korea Institute of Energy Research, Jeju 63357, Korea)

  • Moon-Seok Jang

    (System Convergence Laboratory, Korea Institute of Energy Research, Jeju 63357, Korea)

  • Kyung-Sang Ryu

    (System Convergence Laboratory, Korea Institute of Energy Research, Jeju 63357, Korea)

Abstract

A programmable direct current (DC) power supply with Real-time Digital Simulator (RTDS)-based photovoltaic (PV) Power Hardware-In-the-Loop (PHIL) simulators has been used to improve the control algorithm and reliability of a PV inverter. This paper proposes a supervisory control algorithm for a PV PHIL simulator with a non-RTDS device that is an alternative solution to a high-cost PHIL simulator. However, when such a simulator with the conventional algorithm which is used in an RTDS is connected to a PV inverter, the output is in the transient state and it makes it impossible to evaluate the performance of the PV inverter. Therefore, the proposed algorithm controls the voltage and current target values according to constant voltage (CV) and constant current (CC) modes to overcome the limitation of the Computing Unit and DC power supply, and it also uses a multi-rate system to account for the characteristics of each component of the simulator. A mathematical model of a PV system, programmable DC power supply, isolated DC measurement device, and Computing Unit are integrated to form a real-time processing simulator. Performance tests are carried out with a commercial PV inverter and prove the superiority of this proposed algorithm against the conventional algorithm.

Suggested Citation

  • Dae-Jin Kim & Byungki Kim & Hee-Sang Ko & Moon-Seok Jang & Kyung-Sang Ryu, 2017. "A Novel Supervisory Control Algorithm to Improve the Performance of a Real-Time PV Power-Hardware-In-Loop Simulator with Non-RTDS," Energies, MDPI, vol. 10(10), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1651-:d:115632
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    References listed on IDEAS

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    1. Fathabadi, Hassan, 2017. "Novel grid-connected solar/wind powered electric vehicle charging station with vehicle-to-grid technology," Energy, Elsevier, vol. 132(C), pages 1-11.
    2. Hung, Duong Quoc & Dong, Zhao Yang & Trinh, Hieu, 2016. "Determining the size of PHEV charging stations powered by commercial grid-integrated PV systems considering reactive power support," Applied Energy, Elsevier, vol. 183(C), pages 160-169.
    3. Zhang, Qi & Tezuka, Tetsuo & Ishihara, Keiichi N. & Mclellan, Benjamin C., 2012. "Integration of PV power into future low-carbon smart electricity systems with EV and HP in Kansai Area, Japan," Renewable Energy, Elsevier, vol. 44(C), pages 99-108.
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    Cited by:

    1. Nubia Ilia Ponce de León Puig & Leonardo Acho & José Rodellar, 2018. "Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System," Energies, MDPI, vol. 11(7), pages 1-24, July.

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