An advanced model for automatic fault management in distribution networks

Lehtonen, Matti; Matsinen, A.; Antila, Erkki; Kuru, Jukka

doi:10.1109/pesw.2000.847643

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…High measured current means that the fault is downstream and consequently the next substation is evaluated until the faulty section is identified. This concept can be applied for self-healing approach either by centralized or decentralized control [8][9][10][11][12][13][14][15]. In the future, this approach does not work anymore since the penetration of DGs will drastically change the amplitude and even the direction of phase fault currents.…”

Section: Introductionmentioning

confidence: 99%

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Transient selectivity for enhancing autonomous fault management in unearthed distribution networks with DFIG-based distributed generations

Elkalashy

Kawady

Ashmawy

et al. 2016

Electric Power Systems Research

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Section: Introductionmentioning

confidence: 99%

“… 12. illustrates the performance when the distributed generation interconnected at busbar D in the network shown inFig.…”

mentioning

confidence: 99%

Transient selectivity for enhancing autonomous fault management in unearthed distribution networks with DFIG-based distributed generations

Elkalashy

Kawady

Ashmawy

et al. 2016

Electric Power Systems Research

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“…In fact, the main works D presented in the correlated literature treat the fault indicators as guide elements to automate the restoration processes of faulting sections [6][7][8][9][10][11]. However, if the fault indicators were positioned at improper places, the global efficiency of this automation process can then be substantially affected [3].…”

Section: Introductionmentioning

confidence: 99%

Efficient allocation of fault indicators in distribution circuits using fuzzy logic

Souza¹,

Silva

Ziolkowski³

et al. 2009

2009 IEEE Power &Amp; Energy Society General Meeting

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This paper evaluates the behavior related to the main variables that influence in the quantification of potential points for installation of fault indicators along electric power distribution feeders. Moreover, based on these behavioral characteristics, fuzzy inference systems are also used to estimate the best positions to allocate fault indicators, which take into account the distance in that a particular bus is in relation to more adjacent protection devices, load profile and short-circuit current levels of the downstream system to the respective points. Results with real data highlight the efficiency of the proposed methodology.Index Terms--Artificial intelligence, fault indicator, fuzzy inference system, power system protection.

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“…In fact, the main works presented in the correlated literature treat the fault indicators as guide elements to automate the restoration processes of faulting sections [6][7][8]. However, if the fault indicators were positioned at improper places, the global efficiency of this automation process can then be substantially affected [3].…”

Section: Introductionmentioning

confidence: 99%

Efficient fuzzy approach for allocating fault indicators in power distribution lines

Souza¹,

Assis²,

Silva

et al. 2008

2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

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This paper evaluates the behavior related to the main variables that influence in the quantification of potential points for installation of fault indicators along electric power distribution feeders. Moreover, based on these behavioral characteristics, fuzzy inference systems are also used to estimate the best positions to allocate fault indicators, which take into account the distance in that a particular bus is in relation to more adj acent protection devices, load profile and short-circuit current levels of the downstream system to the respective points. Results with real data highlight the efficiency of the proposed methodology.Index Terms--Artificial intelligence, fault indicator, fuzzy inference system, power system protection.

show abstract

An advanced model for automatic fault management in distribution networks

Cited by 5 publications

References 1 publication

Transient selectivity for enhancing autonomous fault management in unearthed distribution networks with DFIG-based distributed generations

Transient selectivity for enhancing autonomous fault management in unearthed distribution networks with DFIG-based distributed generations

Efficient allocation of fault indicators in distribution circuits using fuzzy logic

Efficient fuzzy approach for allocating fault indicators in power distribution lines

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