Novel Method of Calculating the Coefficient of Asymmetry in the Negative Sequence

Khosiljonovich, Kholiddinov Ilkhombek; Saleem, Adeel; Iqbal, Atif; qizi, Kholiddinova Mashkhurakhon Mutalibjon; Khojiakbar, Eraliev; Mateen, Muhammad

doi:10.1109/icomet57998.2023.10099113

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Find the eigenvector corresponding to the maximum eigenvalue from the corresponding system of equations as in (9). Here for this purpose have three equations as discussed earlier.…”

Section: Implementating Fuzzy Logic Theorymentioning

confidence: 99%

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Estimation of powerquality in distribution system using fuzzy logic theory

Saleem,

Ilkhombek Khosiljonovich,

Mashkhurakhon Mutalibjon Qizi

et al. 2023

IJEECS

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There are several methods are used to calculate the power quality indicators. These objectives are now served by the most recent soft computing theories, such as neural networks, fuzzy time series, fuzzy logic theory, and other techniques. The fuzzy logic theory is one of the methods used to calculate the power quality indicators for the distribution electric network in this paper. It resolves the issue of forecasting the voltage values on distribution electrical networks' buses and enhances the quality of electricity in the face of fluctuating consumer loads and uncertainty. This paper proposed a device that has the ability for monitoring the quality of electricity domestically which leads to getting rid of many problems such as voltage deviations and asymmetrical faults. The fuzzy logic theory is implemented to develop the algorithm for this purpose. The actual data is recorded at the distribution transformer and implement the fuzzy logic theory by using a mathematical model as well as the simulation on MATLAB for optimizing the power quality indicators with the help of fuzzy logic theory and results are discussed at the end of the paper.

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“…Find the eigenvector corresponding to the maximum eigenvalue from the corresponding system of equations as in (9). Here for this purpose have three equations as discussed earlier.…”

Section: Implementating Fuzzy Logic Theorymentioning

confidence: 99%

“…Monitoring power quality disturbances is the preliminary step for electrical networks [8]. The list of different power quality disturbances that could occur in a power distribution situation is provided in [9]. It was determined that the majority of the voltage sags have an approximate magnitude of 80%.…”

Section: Introductionmentioning

confidence: 99%

Estimation of powerquality in distribution system using fuzzy logic theory

Saleem,

Ilkhombek Khosiljonovich,

Mashkhurakhon Mutalibjon Qizi

et al. 2023

IJEECS

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Development of simulation model of smart phase selector device

Khojiakbar,

Kholiddinov,

Eraliev

et al. 2023

E3S Web Conf.

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In the quest for efficient and reliable power distribution systems, voltage asymmetry has emerged as a significant challenge. Voltage imbalances across different phases can lead to increased energy losses, compromised power quality, and reduced equipment lifespan. To address these issues, smart phase selector devices have gained attention as advanced electronic solutions for monitoring and managing voltage imbalances in low-voltage networks. This paper presents the development of a simulation model of a smart phase selector device using the Proteus software platform. Proteus offers a versatile environment for simulating electronic circuits and systems, making it an ideal choice for developing and evaluating the performance of the smart phase selector device. The primary objective of this research is to create a comprehensive simulation model that accurately represents the behavior and functionality of the smart phase selector device. Through a thorough literature review, the key principles and concepts underlying smart phase selector devices, voltage asymmetry, and related simulation techniques are explored. The developed simulation model incorporates the necessary circuit components, algorithms, and control mechanisms to faithfully simulate the operation of the smart phase selector device.

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Estimation the state of power quality in distribution networks using fuzzy logic

Kholiddinov,

Eraliyev,

Sharobiddinov

et al. 2024

E3S Web Conf.

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The development of future generation computer systems based on approximate models of human thinking and their use is one of the main tasks of science today. The ability to make correct decisions in the face of incomplete and unclear information is the main property of human intelligence. However, to take into account various types of uncertainties that necessarily arise in the mathematical description of reality, it is necessary to use Fuzzy logic . This article presents a generalized method for assessing power quality indicators in distribution networks using fuzzy logic. This allows you to significantly expand the possibilities of taking into account fuzzy information and increase the accuracy of the assessment. In conditions of limited and unreliable information about processes, as well as incomplete and inaccurate knowledge and subjectivity, an effective solution to the problems of improving the transmission and distribution of electricity can be achieved through an approach that is based on comprehensive analysis and the use of modern technologies and methods.

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Novel Method of Calculating the Coefficient of Asymmetry in the Negative Sequence

Cited by 3 publications

References 15 publications

Estimation of powerquality in distribution system using fuzzy logic theory

Estimation of powerquality in distribution system using fuzzy logic theory

Development of simulation model of smart phase selector device

Estimation the state of power quality in distribution networks using fuzzy logic

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