Architecture of a Network-in-the-Loop Environment for Characterizing AC Power-System Behavior

Roscoe, Andrew; Mackay, Andrew J.; Burt, Graeme; McDonald, J.R.

doi:10.1109/tie.2009.2025242

Cited by 77 publications

(76 citation statements)

References 24 publications

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“…Part of the microgrid available at Strathclyde University [4] has been configured to allow the integration and testing process of an ANM function or scheme. The subsection of the microgrid network, used for this purpose, can include a wide variety of loads, generation equipment and measurement sensors that can easily be reconfigured to emulate different future smart grid network scenarios.…”

Section: A Realistic Test Environmentmentioning

confidence: 99%

Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Venturi¹,

Dolan²,

Clarkson

et al. 2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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This version is available at https://strathprints.strath.ac.uk/44468/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. C I R E D E EV VA AL LU UA AT TI IN NG G T TH HE E R RO OB BU US ST TN NE ES SS S O OF F A AN N A AC CT TI IV VE E N NE ET TW WO OR RK K M MA AN NA AG GE EM ME EN NT T F FU UN NC CT TI IO ON N I IN N A AN N O OP PE ER RA AT TI IO ON NA AL L E EN NV VI IR RO ON NM ME EN NT T

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Section: A Realistic Test Environmentmentioning

confidence: 99%

Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Venturi¹,

Dolan²,

Clarkson

et al. 2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

Self Cite

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“…It should be noted that while this paper refers specifically to scenarios where the simulated part consists of a diesel reciprocating engine, the hardware-in-theloop design, functionality and fidelity is applicable to many other types of simulated prime movers, machines or electrical networks. When entire electrical networks are required to be simulated, an appropriate electrical real-time simulator is required [7].…”

Section: Hardware In the Loop Implementationmentioning

confidence: 99%

“…The essential details of this implementation are described in [7]. However, in this case the simulation of the diesel engine can be executed on the same computer as the HIL control (the simulator and controller in Fig.…”

Section: Hardware In the Loop Implementationmentioning

confidence: 99%

“…are used to represent certain parts of the system, while others are represented using simulation models. Key advantages of this approach, which is described in more detail in [7], include the ability to evaluate the actual performance of physical drives, controllers, etc., as well as the option to scale the output from large simulated devices such as prime movers in a way which would not be possible in hardware.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the fidelity of the HIL experiments, pre-existing laboratory HIL capability described in [7] is augmented; firstly with more powerful field controls, and secondly using a dual nested control loop using PIDA controllers, which are tuned in turn using the "Iambda tuning" approach. To demonstrate the effectiveness of the approach, measurements of the HIL network behaviour are compared with equivalent simulations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Integration of a mean-torque diesel engine model into a hardware-in-the-loop shipboard network simulation using lambda tuning

Roscoe¹,

Elders²,

Hill

et al. 2011

IET Electr. Syst. Transp.

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This version is available at https://strathprints.strath.ac.uk/34266/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.This paper is a postprint of a paper submitted to and accepted for publication in IET Electric Systems in Transportation (EST) and is subject to IET copyright. AbstractThis paper describes the creation of a hardware-in-the-loop (HIL) environment for use in evaluating network architecture, control concepts and equipment for use within marine electrical systems. The environment allows a scaled hardware network to be connected to a simulation of a multi-megawatt marine diesel prime-mover, coupled via a synchronous generator. This allows All-Electric marine scenarios to be investigated without large-scale hardware trials. The method of closing the loop between simulation and hardware is described, with particular reference to the control of the laboratory synchronous machine which represents the simulated generator(s). The fidelity of the HIL simulation is progressively improved in this paper. Firstly a faster and more powerful field drive is implemented to improve voltage tracking. Secondly the phase tracking is improved by using two nested PIDA (proportional integral derivative acceleration) controllers for torque control, tuned using lambda-tuning. The HIL environment is tested using a scenario involving a large constant-power load step. This both provides a very severe test of the HIL environment, and also reveals the potentially adverse effects of constant-power loads within marine power systems.

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Physical Hardware‐in‐the‐Loop Modeling and Simulation

Roscoe¹,

Guillo-Sansano²,

Burt³

2016

Smart Grid Handbook

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It is too risky to install a newly designed device, component, or controller, directly into a real power system without rigorous testing. To help derisk the system integration, and to assist in the design process, computer simulation is an accepted and widely adopted tool. However, in a simulation‐only environment, many real‐world issues such as noise, randomness of event timings, and hardware design issues are not well explored. In addition, there are limits on the size and fidelity of system, which can be simulated, due to the required computational intensity, and because control systems for devices often contain software that is proprietary and cannot be modeled accurately. Physical hardware‐in‐the‐loop simulation provides an interim stage between purely computer‐based simulation and real device deployment. Part of the power system (or “smart grid”) is simulated, but specific components are implemented in actual hardware. The hardware may consist of instrumentation, relays, or controllers, carrying no primary current. Such testing is termedsecondary hardware‐in‐the‐loop, as the signals exchanged between the simulation and hardware consist only of measurements and control values. A more advanced environment is created where primary power flow is exchanged with the hardware. This is termedprimary hardware‐in‐the‐looporpower hardware‐in‐the‐looptesting. In addition to measurement and control signals being exchanged with the simulation, an interface is required at which primary power is exchanged between the simulation and the hardware, at the voltage and current levels suitable for the hardware under test. Creation of such environments is complex, but allows steady‐state, dynamic, and worst‐case scenarios to be recreated in a controlled environment. Therefore, hardware‐in‐the‐loop testing offers a cheaper, safer, faster, and more comprehensive derisking process than trying the hardware for the first time on a real network. The complexity and interconnected nature of the smart grid means that such hardware‐in‐the‐loop‐based testing is becoming even more critical to understanding the behavior of systems and schemes, and consequently the safe and secure introduction of new technologies.

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Architecture of a Network-in-the-Loop Environment for Characterizing AC Power-System Behavior

Cited by 77 publications

References 24 publications

Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Evaluating the Robustness of an Active Network Management Function in an Operational Environment

Integration of a mean-torque diesel engine model into a hardware-in-the-loop shipboard network simulation using lambda tuning

Physical Hardware‐in‐the‐Loop Modeling and Simulation

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