Banshee distribution network benchmark and prototyping platform for hardware‐in‐the‐loop integration of microgrid and device controllers

Salcedo, Reynaldo; Corbett, Edward G.; Smith, Christopher L.; Limpaecher, Erik; Rekha, Raajiv; Nowocin, John Kendall; Lauss, Georg; Fonkwe, Edwin; Almeida, Murilo; Gärtner, Peter; Manson, Scott; Nayak, Bharath; Čelanović, Ivan; Dufour, Christian; Faruque, M. Omar; Schoder, Karl; Brandl, Ron; Kotsampopoulos, Panos; Ha, Thrung Ham; Davoudi, Ali; Dehkordi, Ali Banitalebi; Strunz, Kai

doi:10.1049/joe.2018.5174

Cited by 50 publications

(21 citation statements)

References 18 publications

(19 reference statements)

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“…With (14) and 15 The important advantage of this technique consists in the transformation of the system impedance ratio to a certain value such as to guarantee system stability according to the Nyquist stability criterion.…”

Section: Partial Shifting Impedance (Psi) Methodsmentioning

confidence: 99%

“…The increasing system complexity asks for accurate and efficient simulation techniques for the analysis of electric power systems [2]- [4]. In this context, real-time simulation and in particular PHIL simulation have already been applied for the validation and testing of system behavior, closely emulating the behavior of power electric and electronic systems [5]- [14].…”

mentioning

confidence: 99%

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Accurate and Stable Hardware-in-the-Loop (HIL) Real-Time Simulation of Integrated Power Electronics and Power Systems

Lauss

Strunz

2021

IEEE Trans. Power Electron.

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Power hardware-in-the-loop (PHIL) technology allows for the testing of physical equipment in a real-time simulation environment. An important role is attributed to the power interface. This power interface connects a power system model, which is implemented on a digital computer, to physical hardware under test, such as a power electronic converter. Several hardware-in-the loop (HIL) test setups with distinct power interfaces are proposed and compared. Based on detailed modeling of the different interfaces, system analysis is performed for each HIL test setup with respect to overall stability and accuracy. To verify stability for PHIL simulation systems, transfer function representations of the entire PHIL simulation processes are developed, and all involved time delays are quantified. The Nyquist stability criterion is applied to analyze all considered interfacing methods to enhance PHIL simulation stability, and the accuracy is evaluated. Moreover, experimental test results are given to demonstrate both the applicability and the functioning of the proposed interfacing methods. A particular focus is laid on the interfacing of physical power electronic inverters tested as part of a network in a PHIL real-time simulation.

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Section: Partial Shifting Impedance (Psi) Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Accurate and Stable Hardware-in-the-Loop (HIL) Real-Time Simulation of Integrated Power Electronics and Power Systems

Lauss

Strunz

2021

IEEE Trans. Power Electron.

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“…1. Microgrid prototyping and validation: Testing AC, DC, and Hybrid MGs requires a wide variety of techniques and methodologies including: benchmarks and prototyping platforms [32][33][34][35], testing chains and procedures for centralized and decentralized controllers [36][37][38][39][40][41], and rapid control prototyping (RCP) for a quick development of new control strategies in a real hardware environments [42][43][44]. 2.…”

Section: Introductionmentioning

confidence: 99%

Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

et al. 2020

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The integration of smart grid technologies in interconnected power system networks presents multiple challenges for the power industry and the scientific community. To address these challenges, researchers are creating new methods for the validation of: control, interoperability, reliability of Internet of Things systems, distributed energy resources, modern power equipment for applications covering power system stability, operation, control, and cybersecurity. Novel methods for laboratory testing of electrical power systems incorporate novel simulation techniques spanning real-time simulation, Power Hardware-in-the-Loop, Controller Hardware-in-the-Loop, Power System-in-the-Loop, and co-simulation technologies. These methods directly support the acceleration of electrical systems and power electronics component research by validating technological solutions in high-fidelity environments. In this paper, members of the Survey of Smart Grid International Research Facility Network task on Advanced Laboratory Testing Methods present a review of methods, test procedures, studies, and experiences employing advanced laboratory techniques for validation of range of research and development prototypes and novel power system solutions.

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“…This is time-consuming and prone to errors. On the other hand, a new approach called hardware-in-the-loop (HIL) simulation provides flexibility and yields very precise results [9]. Each validation method should be selected depending on the development stages, while HIL is a reasonable option from the viewpoint of testing the prototype and the final product of commercial microgrid controllers.…”

Section: Introductionmentioning

confidence: 99%

Microgrid Controller Testing Using Power Hardware-in-the-Loop

Kikusato¹,

Ustun²,

Suzuki³

et al. 2020

Energies

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Required functions of a microgrid become divers because there are many possible configurations that depend on the location. In order to effectively implement the microgrid system, which consists of a microgrid controller and components with distributed energy resources (DERs), thorough tests should be run to validate controller operation for possible operating conditions. Power-hardware-in-the-loop (PHIL) simulation is a validation method that allows different configurations and yields reliable results. However, PHIL configuration for testing the microgrid controller that can evaluate the communication between a microgrid controller and components as well as the power interaction among microgrid components has not been discussed. Additionally, the difference of the power rating of microgrid components between the deployment site and the test lab needs to be adjusted. In this paper, we configured the PHIL environment, which integrates various equipment in the laboratory with a digital real-time simulation (DRTS), to address these two issues of microgrid controller testing. The test in the configured PHIL environment validated two main functions of the microgrid controller, which supports the diesel generator set operations by controlling the DER, regarding single function and simultaneously activated multiple functions.

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Banshee distribution network benchmark and prototyping platform for hardware‐in‐the‐loop integration of microgrid and device controllers

Cited by 50 publications

References 18 publications

Accurate and Stable Hardware-in-the-Loop (HIL) Real-Time Simulation of Integrated Power Electronics and Power Systems

Accurate and Stable Hardware-in-the-Loop (HIL) Real-Time Simulation of Integrated Power Electronics and Power Systems

Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities

Microgrid Controller Testing Using Power Hardware-in-the-Loop

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