Evaluation of Operating Range of a Machine Emulator for a Back-to-Back Power-Hardware-in-the-Loop Test Bench

Sharma, Nimananda; Mademlis, Georgios; Liu, Yujing; Tang, Junfei

doi:10.1109/tie.2022.3142421

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…The selected pair V sd bac , I sd bac yields the base apparent power S sd b for the SDC, see (1), that can be lower than the rated (nameplate) value of the SDC. Moreover, the ac voltage and current base pair determines I sd bdc with (3) and the impedance bases on the LV side of the scaled-down transformer with (2). Now, the components of the LCL filter can be selected.…”

Section: Proposed Harmonic-invariant Scaling Methods (Hism)mentioning

confidence: 99%

“…It represents a sensible final step before deployment of an electric power component in the real world [1]. The applications of power hardware-in-the-loop (PHIL) span high performance motor drives [2], microgrids [3], renewable energy [4], and control of high-power converters [5]. Also, the research work that could not be validated with real world systems due to lack of resources, time, and space could gain additional confidence with a conscious fusion of real and virtual systems as software or simulations in the loop [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

Mota

Banda

Adeyemo

et al. 2023

IEEE Open J. Ind. Applicat.

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Power hardware-in-the-loop (PHIL) is an experimental technique that uses power amplifiers and real-time simulators for studying the dynamics of power electronic converters and electrical grids. PHIL tests provide the means for functional validation of advanced control algorithms without the burden of building high-power prototypes during early technology readiness levels. However, replicating the behavior of high-power systems with laboratory scaled-down converters (SDCs) can be complex. Inaccurate scaling of the SDCs coupled with an exclusive focus on instantaneous voltages and currents at the fundamental frequency can lead to PHIL results that are only partially relatable to the high-power systems under study. Test beds that fail to represent switching frequency harmonics cannot be used for studying harmonic penetration or loss characterization of large-scale converters. To tackle this issue, this paper proposes a harmonic-invariant scaling method (HISM) that exploits the VA rating of preexisting laboratory SDCs for more accurately replicating harmonic phenomena in a PHIL test bench. Firstly, a theoretical analysis of the proposed method is presented and, subsequently, the method is validated with MATLAB simulations and experimental tests.INDEX TERMS Hardware-in-the-loop, Power conversion harmonics, Real-time emulation, Voltage source converter, Large-scale systems.

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Section: Proposed Harmonic-invariant Scaling Methods (Hism)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

Mota

Banda

Adeyemo

et al. 2023

IEEE Open J. Ind. Applicat.

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show abstract

“…The study set the simulation method to discrete and the simulation time granularity to 5×10 -5 s. Single-phase fault elements were selected to implement different fault types. In the specific simulation process, the study uses the program loop call method to improve the efficiency with the flexibility of modelling and easy modification [20]. In this case, the fault parameters are set in the fault element as variables to be retrieved from the workspace.…”

Section: Fault Simulation Methods For Building Electrical Systems And...mentioning

confidence: 99%

The application of fault diagnosis techniques and monitoring methods in building electrical systems – based on ELM algorithm

Liu

2023

J. meas. eng.

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The reliability of modern building electrical systems are receiving increasing attention as they become more intelligent and complex. As the majority of building electrical systems use neutral point grounding, earth faults or short circuits can get worse over time and damage both the distribution system and the electrical equipment. To this end, the corresponding three phases and four categories, namely three-phase voltage, three-phase current after fault, three-phase voltage distortion rate, three-phase current distortion rate, a total of 12 dimensional fault feature vectors and 10 fault simulation types, were summarised and extracted in conjunction with the actual operating conditions of the system. Using traditional fault identification ideas and neural network algorithm as reference, a 12-dimensional fault feature vector is used as the model input to construct a building electrical fault diagnosis and detection model based on ELM algorithm. Results showed that the ELM-based model’s classification accuracy for this experimental sample was 97.56 %, its AUC was 0.92, and its RMSE was 0.3521. These figures were higher than the classification accuracy and performance of the BP algorithm and GA-BP algorithm fault diagnosis models, and they also demonstrate better robustness and generalizability. The model also has a 97.27 % correct rate in fault discrimination, while the computation time is only 0.201 s, and its fault identification and diagnosis speed is faster than other algorithmic models. At the same time, this research model has a good fault monitoring accuracy of up to 98.6 % for building electrical systems. The research can provide a more sensitive, accurate and rapid fault monitoring method for the current building electrical system. It also improves the reliability of the building electrical system in a complex environment and achieves better protection of the system. This has a certain significance for the development of the building electrical industry.

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“…It represents a sensible final step before deployment of an electric power component in the real world [1]. The applications of PHIL span high performance motor drives [2], microgrids [3], renewable energy [4], and control of high-power converters [5]. Also, the research work that could not be validated with real world systems due to lack of resources, time, and space could gain additional confidence with a conscious fusion of real and virtual systems as software or simulations in the loop [1].…”

Section: Introductionmentioning

confidence: 99%

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

Mota¹,

Banda²,

Adeyemo³

et al. 2023

Preprint

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<p>Manuscript submitted to the IEEE Industry Applications Society’s Open Journal of Industry Applications on January 2023.</p> <p>Abstract: Power hardware-in-the-loop (PHIL) is an experimental technique that uses power amplifiers and real-time simulators for studying the dynamics of power electronic converters and electrical grids. PHIL tests provide the means for functional validation of advanced control algorithms without the burden of building high-power prototypes during early technology readiness levels. However, replicating the behavior of high-power systems with laboratory scaled-down converters (SDCs) can be complex. Inaccurate scaling of the SDCs coupled with an exclusive focus on instantaneous voltages and currents at the fundamental frequency can lead to PHIL results that are only partially relatable to the high-power systems under study. Test beds that fail to represent switching frequency harmonics cannot be used for studying harmonic penetration or loss characterization of large-scale converters. To tackle this issue, this paper proposes a harmonic-invariant scaling method (HISM) that exploits the VA rating of preexisting laboratory SDCs for more accurately replicating harmonic phenomena in a PHIL test bench. Firstly, a theoretical analysis of the proposed method is presented and, subsequently, the method is validated with MATLAB simulations and experimental tests.</p>

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Evaluation of Operating Range of a Machine Emulator for a Back-to-Back Power-Hardware-in-the-Loop Test Bench

Cited by 8 publications

References 19 publications

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

The application of fault diagnosis techniques and monitoring methods in building electrical systems – based on ELM algorithm

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

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