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

Vogel, Steffen; Nguyen, Ha Thi; Stevic, Marija; Jensen, T.; Heussen, Kai; Rajkumar, Vetrivel Subramaniam; Monti, Antonello

doi:10.3390/en13153770

Cited by 18 publications

(8 citation statements)

References 23 publications

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“…Otherwise, it includes distributed power. If the internal distribution network system fails, it will not be able to remove one of the faults in time and accurately, and it will not be able to effectively ensure the safety and stability of the power supply network and the normal operation of the equipment [9,10]. Note that the advantages of distributed generation mainly include being economical, environmental protection, flexibility, and safety.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Current Protection Technology for Distribution Network with Distributed Power Sources Based on Local Information

Cui

Zeng

Wang

et al. 2021

Mobile Information Systems

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Because the distributed power supply is connected to the distribution network, its structure has also changed the original traditional method. The original single power supply method was originally used. The network provided is a radial network and it is connected to the distributed power supply. Later, it became a structure with small- and medium-sized power supplies inside, and its network power supply became dual or multiple power supplies. Such a structural change affected the coordination of power distribution protection devices, which would impose current on the distribution network. Protection has a negative impact. This paper aims to study the adaptive current protection technology of distribution network with distributed power based on local information. On the basis of analyzing the characteristics of distributed power, the classification of distributed power, and the operation mode of distributed power, according to the access of IIDG, as well as different influences of relay protection of distribution network, an improved protection scheme with adaptive current quick-break protection as the main protection is proposed, so that different fault characteristics of the distribution network have different setting values, and then simulation experiments are carried out on this scheme. The experimental results show that the setting value of three-phase short-circuit fault proposed in this paper can well protect the protection range, which is larger than the traditional protection setting and self-adaptive setting.

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Section: Introductionmentioning

confidence: 99%

Adaptive Current Protection Technology for Distribution Network with Distributed Power Sources Based on Local Information

Cui

Zeng

Wang

et al. 2021

Mobile Information Systems

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“…Interest in PHIL testing methods has been increasing within the field of power systems engineering [8], [19]- [28]. Technological advancements in Real-Time Simulation (RTS) and power interfacing devices have improved the fidelity of PHIL test environments for studying the complex dynamic behavior of electricity networks [29], [30].…”

Section: Phil Testingmentioning

confidence: 99%

Power Hardware-In-the-Loop Testing of a Peer-to-Peer Energy Trading Framework

Perrau¹,

Stojkovic²,

Verbič³

2022

Preprint

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This paper demonstrates the value of power hardware-in-the-loop (PHIL) testing for the study of peer-topeer (P2P) energy trading. P2P has emerged as a promising candidate for coordinating large numbers of distributed energy resources (DER) that pose a risk to network operations if left unmanaged. The existing literature has so far relied on pure software simulations to study DER and distribution networks within this context. This requires the development of simplified models for complex components due to the computational limitations involved. Issues that arise through the operation of physical hardware in real-world applications are therefore neglected. We present PHIL testing as a solution to this problem by exhibiting its ability to capture the complex behaviors of physical DER devices. A high-fidelity PHIL test environment is introduced that combines key hardware elements with a simulated network model to study a P2P trading scenario. The initial findings reveal several underlying challenges of coordinating DER that are not typically discussed in prior works.

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“…Also researches that integrate IoT and HIL in energy systems have been reported: in [18] a centralized energy management system for a micro-grid (µG) is proposed, the µG is emulated using the HIL technique and the centralized controller maintains communication with the µG through the Internet. In [19] the development of a power HIL (PHIL) simulation is described using a geographically distributed infrastructure that is composed of a real-time simulator and a Back-to-Back PEC, separated from each other by approximately 40 km of distance and maintaining communication over the internet. In [20] the development of a geographically distributed PHIL simulation is detailed, the infrastructure of this simulation is composed of two laboratories, one in Bari and the other in Turin, separated by approximately 1000 km.…”

mentioning

confidence: 99%

Control Hardware in the Loop and IoT Integration: A Testbed for Residential Photovoltaic System Evaluation

et al. 2022

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This article presents the development of a platform for the validation of controllers applied to photovoltaic systems (PVS) interconnected with the main grid (MG), integrating simulation real-time Hardware in the Loop (HIL) and Internet of Things (IoT). The proposed platform is made up of 5 parts: 1) a control HIL emulator (CHILE) that reproduces the behavior of a photovoltaic array, a power electronic converter for interconnection with the MG, and AC loads, 2) a cloud database implemented in ThingSpeak, 3) a smart sensor (SS) that monitors the behavior of AC loads, 4) a residential PVS with internet connection, and 5) an Android application for remote monitoring. The data generated by the residential system and the SS are stored in the database and from this information the CHILE reproduces its behavior in real time. The CHILE generates the variables related to the behavior of the PVS and transfers this information to the database. The mobile application allows users to view the behavior of the platform remotely. The usefulness of the platform is verified with a controller for the maximum power point tracking and the interconnection of the system with the MG in a 24-hour experiment, during which the behavior of the residential PVS and the AC loads are reproduced in the CHILE. The platform successfully emulates the behavior of the installed PVS with a mean relative error of 0.42 % and the AC load with a mean absolute error of 10 mA. Regarding data transfer in the IoT network, a mean time response of the server of 441.9 ms was observed without data loss during the 24-hours experiment.INDEX TERMS Control Hardware in the Loop, IoT, Photovoltaic System.

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

Cited by 18 publications

References 23 publications

Adaptive Current Protection Technology for Distribution Network with Distributed Power Sources Based on Local Information

Adaptive Current Protection Technology for Distribution Network with Distributed Power Sources Based on Local Information

Power Hardware-In-the-Loop Testing of a Peer-to-Peer Energy Trading Framework

Control Hardware in the Loop and IoT Integration: A Testbed for Residential Photovoltaic System Evaluation

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