Reduced Scale PHIL Emulation Concepts Applied to Power Conversion Systems With Battery Storage

Varais, Andy; Roboam, Xavier; Lacressonnière, Fabien; Bru, Éric; Roux, Nicolas

doi:10.1109/tie.2020.2988220

Cited by 4 publications

(1 citation statement)

References 37 publications

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“…P OWER hardware-in-the-loop (PHIL) plays a significant role in accelerating the research and development of power technologies by enabling repeated and non-destructive real-time testing under a broad range of scenarios [1]- [10]. This advanced real-time testing methodology has been extensively leveraged for the in-depth modelling and assessment of renewable energy technologies including photovoltaic system [3], [4], energy storage system [5], variable-speed wind turbines [6], etc., prototyping of power apparatus [2], [7], verification of control strategies [8], black start testing of gridforming converter [9], and power system education [10].…”

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confidence: 99%

Adaptive Smith Predictor for Enhanced Stability of Power Hardware-in-the-Loop Setups

Feng

Peña-Alzola

Syed

et al. 2023

IEEE Trans. Ind. Electron.

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The stability and accuracy of power hardware-inthe-loop (PHIL) setups are sensitive to and deteriorated by the dynamics and non-ideal characteristics of their power interfaces, such as time delay, noise perturbation, and signal distortion. In this paper, a compensation scheme comprising a Smith predictor compensator is proposed to mitigate the impact of time delay on PHIL stability. Furthermore, an online system impedance identification technique is leveraged to enhance the robustness of the compensator and facilitate the compensation scheme with adaptivity to system impedance variation. Analytical assessment, simulation results, and PHIL experimental results are presented to verify the proposed compensation scheme. This scheme enables robust and stable testing of novel power technologies under varying impedance ratios representative of the complex scenarios emerging within the power sector.

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