Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls

Ebe, Falko; Idlbi, Basem; Stakic, D.; Chen, Shuo; Kondzialka, Christoph; Casel, Matthias; Heilscher, Gerd; Seitl, Christian; Bründlinger, Roland; Strasser, Thomas

doi:10.3390/en11123381

Cited by 29 publications

(17 citation statements)

References 35 publications

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“…A quasi-static power system setup can be applied in a quasi-dynamic multi-domain setups, where fidelity for dynamic states, e.g., in the heat domain, is preserved [16]. In [17], the reduced fidelity setup operates with a model using PowerFactory "quasi-dynamic" simulations and thus their setup is referred to as "quasi-dynamic" PHiL. Note that PowerFactory definition of "quasi-dynamic" is only quasi-dynamic for frequency, but quasi-static for voltage regulation at distribution grids, such that definitions may overlap.…”

Section: Reduced-fidelity Phil In the Literaturementioning

confidence: 99%

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

et al. 2020

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This paper presents an approach to extend the capabilities of smart grid laboratories through the concept of Power Hardware-in-the-Loop (PHiL) testing by re-purposing existing grid-forming converters. A simple and cost-effective power interface, paired with a remotely located Digital Real-time Simulator (DRTS), facilitates Geographically Distributed Power Hardware Loop (GD-PHiL) in a quasi-static operating regime. In this study, a DRTS simulator was interfaced via the public internet with a grid-forming ship-to-shore converter located in a smart-grid testing laboratory, approximately 40 km away from the simulator. A case study based on the IEEE 13-bus distribution network, an on-load-tap-changer (OLTC) controller and a controllable load in the laboratory demonstrated the feasibility of such a setup. A simple compensation method applicable to this multi-rate setup is proposed and evaluated. Experimental results indicate that this compensation method significantly enhances the voltage response, whereas the conservation of energy at the coupling point still poses a challenge. Findings also show that, due to inherent limitations of the converter’s Modbus interface, a separate measurement setup is preferable. This can help achieve higher measurement fidelity, while simultaneously increasing the loop rate of the PHiL setup.

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Section: Reduced-fidelity Phil In the Literaturementioning

confidence: 99%

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

et al. 2020

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“…The authors in [10] examined which IA were suitable for which PHIL experiments. In [14], two concrete approaches-a conventional PHIL design and a simplified structure based on a quasi-dynamic PHIL approach-were compared. Another important aspect of PHIL experiments is that the simulated system or its behaviour may be heavily dependent on whether the hardware being tested is connected.…”

Section: Hardware-in-the-loop Experimentsmentioning

confidence: 99%

Methods and Concepts for Designing and Validating Smart Grid Systems

2019

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“…However, the limitation of HIL modeling is the lack of real behavior and impact of equipment that is usually hard to fully capture in a simulation environment [19]. Therefore, the potential for studying HIL modeling of smart grids is using a combination of advanced validation techniques interfacing the real and virtual environments, i.e., real-time simulation, hardware-in-the-loop control, and power stage representation reaching real physical behavior of modeled systems [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

System Level Simulation of Microgrid Power Electronic Systems

et al. 2021

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In this paper, we describe a procedure for designing an accurate simulation model using a price-wised linear approach referred to as the power semiconductor converters of a DC microgrid concept. Initially, the selection of topologies of individual power stage blocs are identified. Due to the requirements for verifying the accuracy of the simulation model, physical samples of power converters are realized with a power ratio of 1:10. The focus was on optimization of operational parameters such as real-time behavior (variable waveforms within a time domain), efficiency, and the voltage/current ripples. The approach was compared to real-time operation and efficiency performance was evaluated showing the accuracy and suitability of the presented approach. The results show the potential for developing complex smart grid simulation models, with a high level of accuracy, and thus the possibility to investigate various operational scenarios and the impact of power converter characteristics on the performance of a smart gird. Two possible operational scenarios of the proposed smart grid concept are evaluated and demonstrate that an accurate hardware-in-the-loop (HIL) system can be designed.

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Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls

Cited by 29 publications

References 35 publications

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface

Methods and Concepts for Designing and Validating Smart Grid Systems

System Level Simulation of Microgrid Power Electronic Systems

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