The reliability and efficiency of power companies

Akhmetova, Irina; Чичирова, Н. Д.

doi:10.1051/shsconf/20173501108

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Per the IEEE 1159 standards, and as shown in [8,9], constant observation for power system fault detection is required at all times to guarantee system reliability. Therefore, many researchers have studied power systems generation and distribution in terms of detecting faults and improving efficiency [10][11][12][13][14]. In [8,15], about 70% of blackouts can be associated with power relay malfunction, which allows faulty tripping.…”

Section: Introductionmentioning

confidence: 99%

Discrete Wavelet Transform Application to Three-Phase Power System Short Circuit Fault Detection

Alshrouf,

M. Akujuobi,

Awada

2023

Modern Applications of Wavelet Transform

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In power system distribution, the transmission line is the bottleneck between power generation and consumers. Therefore, any fault or failure in the transmission line is critical and must be detected in a very short time. Meanwhile, as Discrete Wavelet Transform has special characteristics, it can be implemented to analyze and detect short circuit faults for the three-phase power system transmission line and identify the types based on phase-to-phase and phase-to-ground faults analysis. In this work, MATLAB Simulink was used to generate faults using a power distribution system simulator. The three-phase currents were analyzed using the Discrete Wavelet transform algorithm by decomposing the three-phase and ground currents and obtaining the detailed coefficients. As a result, the maximum value of the detailed coefficients is used to distinguish between different types of faults. Simulation results of the proposed method have shown promising results in detecting short circuit faults and identifying types of faults effectively.

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Section: Introductionmentioning

confidence: 99%

Discrete Wavelet Transform Application to Three-Phase Power System Short Circuit Fault Detection

Alshrouf,

M. Akujuobi,

Awada

2023

Modern Applications of Wavelet Transform

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“…Therefore, per IEEE 1159 standards, continuous monitoring for voltage fault detection is required for fault detection and classification to ensure the reliability and energy conservation of electrical power systems as in [9,10]. As a result, many researchers have investigated power system faults and relay response in terms of generation, distribution, and load to determine the reliability and energy efficiency of the system as in [11]- [15]. In fact, in [9], accidental power and outages cause a significant capital loss where 70% of blackouts could be related to relay malfunction to define abnormality as shown in [16]- [17].…”

Section: Introductionmentioning

confidence: 99%

Numerical Voltage Relay Enhancement by Integrated Discrete Wavelet Transform

Awada¹

2021

Journal of Southwest Jiaotong University

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In today’s advanced technology and fast past energy demands, dependency on electrical power systems have reached the peak for daily human function in all life aspects. From high-voltage to low-voltage, big machines to a very articulated chipset, voltage optimization plays an important role in work operation and energy saving of electrical devices. Therefore, the importance of voltage relay in power systems is very significant to ensure normal operation, power system efficiency, power elements protection, and load safety. However, power system failures occur all the time due to numerous reasons which may lead to voltage variation (over-voltage or under-voltage). Such a variation can disrupt the essential elements of the power system and harm consumer load. Therefore, as network distribution cannot assure the same exact voltage at all day times, the need to optimize voltage relay has been a major issue in power system reliability and protection enhancements over the past few years. This paper aims to develop a unique technique to implement and test a new wavelet-based algorithm to modern numerical voltage relay to expedite voltage fault detection and precisely distinguish harmful voltage fluctuation levels. This enhancement will advance voltage waveform analysis to detect over-voltage/under-voltage phenomena, improve relay-tripping accuracy and relay response time. That is, wavelet transform has shown the ability to advance voltage relay operation with special properties of waveform de-noising, data extraction in an adjusted window, and data decomposition. Simulation of the Discrete Wavelet transform bank filters implemented into numerical voltage relay using MATLAB/Simulink has confirmed promising results as a quick voltage error detection based on few waveform data samples, faster data compiling process, and less complexity compared to typical conventional numerical voltage relay.

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“…This estimation may include different approaches for improving an energy performance of buildings as geothermal heat pump [5] and energy performance of domestic hot water systems [6]. Housing and utilities infrastructure objects include building of kindergarten [7], residential buildings [8,9], district heating [10,11] and other objects. The thermal behavior of buildings changes from quasi-stationary [12] to dynamic [13,14].…”

Section: Introductionmentioning

confidence: 99%