Real-time simulator and offline/online closed-loop test bed for power system modeling and development

Parizad, Ali; Baghaee, Hamid Reza; Iranian, Mohamad Esmaeil; Gharehpetian, Gevork B.; Guerrero, Josep M.

doi:10.1016/j.ijepes.2020.106203

Cited by 15 publications

(4 citation statements)

References 51 publications

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“…LabVIEW is unique among programming environments. Its development was not motivated by creating a new simulator but rather by the need to provide a tool to assist nonprogrammer scientists and engineers in automating the test and measurement systems they work on [86]. Since its introduction over two decades ago, the LabVIEW development environment has assisted in creating testing, measurement, and control applications, including WSNs simulation purposes [87].…”

Section: ) Labview (Laboratory Virtual Instrument Engineering Workbench)mentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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Section: ) Labview (Laboratory Virtual Instrument Engineering Workbench)mentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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“…The choice of the network is justified by its potential for hardware implementations and conceptual similarity of ECG signals used in [7] to the HIL model outputs under research. Typical signals present in HIL systems are 1D time sequences which are used to imitate the behavior of real power converters [10]. These are state variable waves, such as inductor current and capacitor voltage.…”

Section: Introductionmentioning

confidence: 99%

Convolutional neural network for subharmonics detection in Hardware-In-the-Loop

Yushkova,

Zambreno,

Sanchez

et al. 2023

Preprint

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Hardware-In-the-Loop (HIL) has become a popular technique for testing real-time complex systems.One of its possible applications is power converter modeling in order to test digital controllers.When a switching converter model is used, the output of the controller can be read incorrectly by the model due to the lack of synchronization of their clocks.Therefore, undesirable oscillations (subharmonics) can appear in the output due to the aliasing effects, which prevent the HIL model from its normal functionality.While there are various solutions present in academic and industrial research in order to address this arising problem, there is no automatic algorithm to detect it when a reference model is not available. In this paper, we implement a one-dimensional convolutional neural network which allows detecting the aliasing distortions.The 1D network was chosen due to the kind of the signal to be classified - an inductor current of the converter model, which is in effect a 1D time sequence.The proposed CNN architecture is shallow and consists of 27 layers only.Despite its simplicity, it shows remarkable performance of more than 99% for both validation and testing datasets, and for the post-training characteristics.Moreover, it makes the architecture potentially implementable in embedded systems, like a real-time HIL system, what can be a good objective for future research.

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“…There are and continue to appear various methods of offline [14,15] and online testing [16,17] computer systems, which significantly take into of account the features of architecture, technology, level, decomposition. Their methodological division into two basic classes is preserved: structural [18,19] and functional [20,21] classes, and, as a rule, complexes [22,23] of different methods are used in implementations.…”

Section: Introductionmentioning

confidence: 99%

Control optimization of automatic multistage transmission in cityelectric bus

Martynyuk¹,

Nesterenko²,

Thuong³

et al. 2022

AAIT

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Early testing of the reliability of functioning, performed before the occurrence of critical emergency situations, plays an important role in the theory and practice of monitoring and diagnosing various technical systems, including computer distributed information systems. Many checking and diagnostic methods directly or indirectly use the energy characteristics of systems, that are directly related to the work they execute, that is, their performance. The proposed elements of the technology of behavioral energy-consumption testing are based on the corresponding models and methods, supplemented by the registration and analysis of inertial temperature and operational volt/ampere characteristics of the test behavior of systems, at the model level represented by extended energy-consumption Petri nets. The elements of behavioral testing technology, proposed in this work, are distinguished by an additional set of calculated and empirical boundary temperature and volt/ampere characteristics of both systems and their components. These characteristics represent states/vertexes, positions/transitions, fragments and scenarios of operation, that are critical in terms of energy consumption, which gives grounds for their monitoring. A feature of these elements of the technology is also the possibility of determining and using natural identifying properties of energy characteristics in behavioral testing, which allows them to be used in check and recognition experiments for the reliability of functioning, both independently and in conjunction with behavioral analysis. The use of additional analysis of energy consumption by temperature and volt/ampere characteristics, as part of complex testing technologies and automatic systems of technical diagnostic, based on them, makes it possible to increase the efficiency, completeness and flexibility of behavioral online and offline testing for computer distributed information systems.

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Real-time simulator and offline/online closed-loop test bed for power system modeling and development

Cited by 15 publications

References 51 publications

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Convolutional neural network for subharmonics detection in Hardware-In-the-Loop

Control optimization of automatic multistage transmission in cityelectric bus

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