2017
DOI: 10.3390/en10121946
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Operational Range of Several Interface Algorithms for Different Power Hardware-In-The-Loop Setups

Abstract: Abstract:The importance of Power Hardware-in-the-Loop (PHIL) experiments is rising more and more over the last decade in the field of power system and components testing. Due to the bidirectional exchange between virtual and physical systems, a true-to-reality interface is essential; however, linking several dynamic systems, stability issues can challenge the experiments, the components under test, and the individuals performing the experiments. Over the time, several interface algorithms (IA) have been develo… Show more

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Cited by 38 publications
(34 citation statements)
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“…Since the interface between the virtual part (simulated environment) and the real part (for example, the controller) is of the highest importance here, so far, many interface algorithms (IA) have been developed. 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.…”
Section: Hardware-in-the-loop Experimentsmentioning
confidence: 99%
“…Since the interface between the virtual part (simulated environment) and the real part (for example, the controller) is of the highest importance here, so far, many interface algorithms (IA) have been developed. 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.…”
Section: Hardware-in-the-loop Experimentsmentioning
confidence: 99%
“…A number of studies have investigated the stability of PHIL simulations [11][12][13][14][15], where the main findings include the establishment of stability thresholds imposed by the interface algorithms used for the PHIL implementation. Improvements to alleviate the identified stability limitations have been proposed in [12,16,17].…”
Section: Phil Initialization and Synchronizationmentioning
confidence: 99%
“…Furthermore, developments towards real implementation can be achieved as real initialization of the control to avoid damage to the hardware components and real limits of the hardware have to be taken into account, this being an aspect typically overlooked when controllers are validated by simulation only. In this case one of the controllable devices (power inverter) is interfaced with the rest of the power simulation in the DRTS with the use of a power amplifier in a PHIL setup, using an ideal transformer method (ITM) interface algorithm that employs an analog communication link [20]. In order to improve the accuracy of such implementation a time delay compensation algorithm as in [21] is also implemented.…”
Section: A Distributed Laboratory Platformmentioning
confidence: 99%