Impact of Online Testing of Distribution Transformers- A Case Study

Singh, Manohar; Prakasha, Anand; Meera, K. S.

doi:10.1109/ichvet.2019.8724291

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Digitization has transformed modern society, promoting innovation, efficiency and information availability, but it has also created new challenges for national security, such as cyber threats and information warfare. According to (OECD, 2018; Terlizzi, 2021; Kazachenko & Arminda, 2022;Singh, 2019;Lyeonov et al, 2023;Hrytsenko et al, 2022). National security now requires not only the physical protection of borders, but also the protection of digital space.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, on the other hand, increased transparency and openness create new challenges for national security. The increased availability of information can become a weak spot used by attackers for cyber-attacks, disinformation and information operations (Singh, 2019). This requires governments and security agencies to develop new strategies to protect critical infrastructure and improve legislation to ensure cyber security.…”

Section: Introductionmentioning

confidence: 99%

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Research Trends in the Impact of Digitization and Transparency on National Security: Bibliometric Analysis

Zámek,

Zakharkina

2024

FMIR

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In the context of rapid technological development, digitalization and transparency have a critical impact on national security, promoting transparency and combating corruption, while posing challenges to cybersecurity due to the increased availability of information. The purpose of this study is to identify, based on bibliometric analysis, trends and subject areas in research on the impact of digitalization and transparency on national security. To achieve this goal, a comprehensive bibliometric analysis of scientific works on the role of digitalization and transparency in national security published in the publications indexed by the Scopus database for 1991-2023 was conducted, which formed the statistical basis of the analysis. The bibliometric programs Vosviewer and SciVal were chosen as research tools, which allowed for an in-depth analytical review and identification of the main trends and interrelationships between different research areas, confirming the hypothesis of increasing interest in the study of digitalization and transparency in the context of national security. Based on the analysis of the common use of keywords, seven clusters were identified, covering a wide range of topics from digital transformation and adaptive governance for national security to global political and economic strategies, each of which reveals unique interrelationships between digitalization, transparency, innovation and their impact on national security, including cybersecurity challenges, ethics in governance, and the importance of transparency for democracy and human rights. The analysis of the evolutionary trends in research allowed us to identify four key periods of development of scientific interest in the impact of digitalization and transparency on national security: 1) the period from 2014 to 2016 is characterized by initial research on the role of digitalization in national security and mainly concerns e-government studies; 2) during 2017-2018, research focuses on the growing attention to transparency and its role in national security 3) in the period from 2019 to 2021, there is an increase in the number of studies related to cybersecurity and the impact of digital technologies on democracy; 4) from 2022 to the present, there is further in-depth research on topics related to artificial intelligence The spatial clustering of studies shows a high level of international integration in research on the impact of digitalization and transparency on national security. The findings can be used by state institutions to improve national security strategies, in particular by adapting the legislative framework to the challenges of digitalization and ensuring transparency at all levels of government and public life, including macro (national), meso (regional) and micro (local) levels, ensuring openness and accountability in all spheres of government and public control, which will ultimately contribute to ensuring stability and security at the national level.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research Trends in the Impact of Digitization and Transparency on National Security: Bibliometric Analysis

Zámek,

Zakharkina

2024

FMIR

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“…Además, se requieren de fuentes controladas de inyección de tensión y corriente constante, lo cual para transformadores de gran potencia y tensión sólo está disponible en laboratorios especializados [9]. Por lo anterior, a los transformadores de distribución en campo (a lo largo del sistema de distribución) no se les puede aplicar esta metodología, ya que implicaría desconexión de usuarios y por consecuencia, penalizaciones en la prestación del servicio [10].…”

Section: Contexto Generalunclassified

Estimación de parámetros entransformadores monofásicos empleandomedidas de tensión y corriente

Bocanegra¹,

Montoya²,

Molina-Cabrera³

2020

revuin

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En este artículo se presenta una metodología para la estimación de parámetros en transformadores de distribuciónconsiderando medidas de tensión y corriente mediante un modelo matemático de programación no lineal (PNL).Este modelo de programación es desarrollado a través de la aplicación de las leyes de Kirchhoff al modelo del circuitoequivalente del transformador. Para resolver el modelo de PNL resultante se emplea el sistema de modelado algebraicogeneral conocido como GAMS. La metodología de optimización propuesta se desarrolla a manera de tutorial conun ejemplo de implementación el cual corresponde a un transformador monofásico de 20 kVA y una relación detransformación de 8000/240 V. Los resultados numéricos muestran que la estimación paramétrica en transformadoresmediante el modelo de PNL propuesto representa adecuadamente el comportamiento eléctrico de estos dispositivosen relación consu funcionamiento para diferentes escenarios de carga a los que se encuentren sometidos. Todas lassimulaciones fueron realizadas con la versión 25.1.3 de GAMS licenciado por la Universidad Tecnológica de Bolívar

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“…For a proper analysis at any power system with transformers, a precise model should be considered, that allows to know the parameters of the equivalent circuit of the transformer, as these can provide its characterization and behavior within the network [7]. Furthermore, this is not an easy task as the factory parameters of the transformer can vary, with respect to its nominal values, along its useful life due to winding isolating and dielectric paper deterioration [8][9][10].…”

Section: Introduction 1general Contextmentioning

confidence: 99%

Application of the Hurricane Optimization Algorithm to Estimate Parameters in Single-Phase Transformers Considering Voltage and Current Measures

2022

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In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals. This problem is represented through a nonlinear programming model (NLP), whose objective is to minimize the root mean square error between the measured voltage and current values and the calculated values from the equivalent model of the single-phase transformer. These values of voltage and current can be determined by applying Kirchhoff’s Laws to the model T of the transformer, where its parameters, series resistance and reactance as well as the magnetization resistance and reactance, i.e., R1, R2′, X1, X2′, Rc y Xm, are provided by the Hurricane Optimization Algorithm (HOA). The numerical results in the 4 kVA, 10 kVA and 15 kVA single-phase test transformers demonstrate the applicability of the proposed method since it allows the reduction of the average error between the measured and calculated electrical variables by 1000% compared to the methods reported in the specialized literature. This ensures that the parameters estimated by the proposed methodology, in each test transformer, are close to the real value with an accuracy error of less than 6%. Additionally, the computation times required by the algorithm to find the optimal solution are less than 1 second, which makes the proposed HOA robust, reliable, and efficient. All simulations were performed in the MATLAB programming environment.

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Impact of Online Testing of Distribution Transformers- A Case Study

Cited by 5 publications

References 3 publications

Research Trends in the Impact of Digitization and Transparency on National Security: Bibliometric Analysis

Research Trends in the Impact of Digitization and Transparency on National Security: Bibliometric Analysis

Estimación de parámetros entransformadores monofásicos empleandomedidas de tensión y corriente

Application of the Hurricane Optimization Algorithm to Estimate Parameters in Single-Phase Transformers Considering Voltage and Current Measures

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