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Relevant bibliographies by topics / Fault analysis/power systems

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Journal articles

Academic literature on the topic 'Fault analysis/power systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Fault analysis/power systems"

1

Tiwari, Ravi Kumar, Nidhi Singh, Ambarish Kumar, and D. Suresh Babu. "Analysis of Symmetrical Fault with Fault Impedance in Power System." Global Journal For Research Analysis 2, no. 1 (2012): 64–66. http://dx.doi.org/10.15373/22778160/january2013/63.

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2

Guo, Xiaoxiao, Yanghong Tan, and Feng Wang. "Modeling and Fault Propagation Analysis of Cyber–Physical Power System." Energies 13, no. 3 (2020): 539. http://dx.doi.org/10.3390/en13030539.

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In cyber–physical power systems (CPPSs), the interaction mechanisms between physical systems and cyber systems are becoming more and more complicated. Their deep integration has brought new unstable factors to the system. Faults or attacks may cause a chain reaction, such as control failure, state deterioration, or even outage, which seriously threatens the safe and stable operation of power grids. In this paper, given the interaction mechanisms, we propose an interdependent model of CPPS, based on a characteristic association method. Utilizing this model, we can study the fault propagation mechanisms when faulty or under cyber-attack. Simulation results quantitatively reveal the propagation process of fault risks and the impacts on the CPPS due to the change of state quantity of the system model.

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3

Amanze, Fortune Chukwuebuka, and Amanze Destiny Josiah. "Fault analysis in power system using power systems computer aided design." International Journal of Advances in Applied Sciences 9, no. 3 (2020): 171. http://dx.doi.org/10.11591/ijaas.v9.i3.pp171-179.

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<span>This work presents a fault analysis simulation model of an IEEE 30 bus system in a distribution network. This work annalysed the effect of fault current and fault voltage in a distribution system. A circuit breaker was introduced into the system to neutralize the effect of the fault. The system was run on a PSCAD software and results were obtained. The system was monitored based on the start time and the end time of the fault and how well the circuit breaker reacts with those times. Fault occurred from 0.100 to 0.300 seconds before it was removed. At the time fault was not applied (i.e. from 0.00 to 0.100 and from 0.300 to 0.72), the circuit breaker was close and became open when fault was applied so as to cut off current flow through the line.The result obtained gave the disruption caused by the fault and the quick response of the circuit breaker in neutralizing it. Results gotten are based on when the circuit breaker is close and no fault is applied and when the circuit breaker is open due to fault. From this work, it was obtained that circuit breakers are very essential in system protection and reliability.</span>

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4

Djibo, Marounfa `., Paul Moses, and Ike Flory. "Fault Protection Considerations for MVDC Shipboard Power Systems Operating with Pulsed-Power Loads." WSEAS TRANSACTIONS ON POWER SYSTEMS 16 (August 2, 2021): 139–48. http://dx.doi.org/10.37394/232016.2021.16.14.

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Medium Voltage Direct Current (MVDC) power distribution architectures are of immense interest for various shipboard power applications due to their advantages over classical MVAC distribution systems with respect to power quality, power density, and efficiency. However, MVDC are far away from maturity when compared to MVAC with respect to fault detection and isolation. Currently, there are no standards available for applying MVDC protection systems in shipboard applications. Furthermore, due to the absence of zero crossings in DC waveforms and unique transient fault signatures, it is challenging to design effective protection system schemes to isolate faults via conventional protection systems. This paper investigates and analyses various types of shipboard MVDC dynamic fault behaviours and signatures under different DC bus disturbances such as: bus to ground, bus to bus to ground, and impact of Pulsed-Power Load (PPL) with and without faults on a shipboard MVDC distribution system. Furthermore, a communication-based fault detection and isolation system controller that improves upon a directional ac overcurrent relay protection system is proposed offering additional protection discrimination between faults and PPLs in MVDC systems. To validate the effectiveness of the proposed protection controller, different bus current disturbances are simulated within a time-domain electromagnetic transient simulation of a shipboard power system including a PPL system operating with different ramp rate profiles, pulse widths, peak powers, and fault locations

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5

Gururajapathy, Sophi Shilpa, Hazlie Mokhlis, and Hazlee Azil Illias. "Fault location using mathematical analysis and database approach." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (2019): 415–30. http://dx.doi.org/10.1108/compel-02-2018-0077.

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PurposeThe purpose of this paper is to identify faults in distribution systems which are unavoidable because of adverse weather conditions and unexpected accidents. Hence, quick fault location is vital for continuous power supply. However, most fault location methods depend on the stored database for locating fault. The database is created by simulation, which is time consuming. Therefore, in this work, a comprehensive fault location method to detect faulty section and fault distance from one-ended bus using limited simulated data is proposed.Design/methodology/approachThe work uses voltage sag data measured at a primary substation. Support vector machine estimates the data which are not simulated. The possible faulty section is determined using matching approach and fault distance using mathematical analysis.FindingsThis work proposed a ranking analysis for multiple possible faulty sections, and the fault distance is calculated using Euclidean distance approach.Practical implicationsThe research work uses Malaysian distribution system as it represents a practical distribution system with multiple branches and limited measurement at primary substation. The work requires only metering devices to identify fault which is cost effective. In addition, the distribution system is simulated using real-time PSCAD by which the capability of proposed method can be fully tested.Originality/valueThe paper presents a new method for fault analysis. It reduces simulation time and storage space of database. The work identifies faulty section and ranks the prior faulty section. It also identifies fault distance using a mathematical approach.

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6

Lu, Cheng, Xi Lin Zhang, Biao Long Su, and Yi Jun Wang. "Simulation of Fault Treatment Performance for Distribution Automation Systems and Key Technologies of Training Systems." Advanced Materials Research 1092-1093 (March 2015): 345–51. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.345.

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The simulation of fault treatment performance for distribution automation systems and the key technologies of training systems are discussed in this paper, which include key technologies for basic platform, auxiliary decision-making analysis for grid faults, load-transfer analysis for power system operating mode, loop closing analysis for power system operating mode and distribution network training simulation and so on. The results of simulation of fault treatment performance for distribution automation systems and training systems operation show a good accuracy and effectiveness of the method.

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7

Parzinger, Michael, Lucia Hanfstaengl, Ferdinand Sigg, Uli Spindler, Ulrich Wellisch, and Markus Wirnsberger. "Residual Analysis of Predictive Modelling Data for Automated Fault Detection in Building’s Heating, Ventilation and Air Conditioning Systems." Sustainability 12, no. 17 (2020): 6758. http://dx.doi.org/10.3390/su12176758.

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Faults in Heating, Ventilation and Air Conditioning (HVAC) systems affect the energy efficiency of buildings. To date, there rarely exist methods to detect and diagnose faults during the operation of buildings that are both cost-effective and sufficient accurate. This study presents a method that uses artificial intelligence to automate the detection of faults in HVAC systems. The automated fault detection is based on a residual analysis of the predicted total heating power and the actual total heating power using an algorithm that aims to find an optimal decision rule for the determination of faults. The data for this study was provided by a detailed simulation of a residential case study house. A machine learning model and an ARX model predict the building operation. The model for fault detection is trained on a fault-free data set and then tested with a faulty operation. The algorithm for an optimal decision rule uses various statistical tests of residual properties such as the Sign Test, the Turning Point Test, the Box-Pierce Test and the Bartels-Rank Test. The results show that it is possible to predict faults for both known faults and unknown faults. The challenge is to find the optimal algorithm to determine the best decision rules. In the outlook of this study, further methods are presented that aim to solve this challenge.

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8

WANG, C., and Y. ZHANG. "Fault Correspondence Analysis in Complex Electric Power Systems." Advances in Electrical and Computer Engineering 15, no. 1 (2015): 11–16. http://dx.doi.org/10.4316/aece.2015.01002.

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9

Xiu, Wanjing, and Yuan Liao. "Fault-location Observability Analysis on Power Distribution Systems." Electric Power Components and Systems 42, no. 16 (2014): 1862–71. http://dx.doi.org/10.1080/15325008.2014.956953.

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10

Zhu Yongli, Y. H. Yang, B. W. Hogg, W. Q. Zhang, and S. Gao. "An expert system for power systems fault analysis." IEEE Transactions on Power Systems 9, no. 1 (1994): 503–9. http://dx.doi.org/10.1109/59.317573.

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