Performance Assessment of Fault Locators and Fault Passage Indicators in Distribution Networks by the Non-Sequential Monte Carlo Simulation

Zeljković, Čedomir; Mršić, Predrag; Lekić, Đorđe; Erceg, Bojan; Matić, Petar; Zubic, Sinisa; Balcerek, P.

doi:10.1109/indel.2018.8637638

Cited by 5 publications

(7 citation statements)

References 14 publications

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“…The main steps of the proposed simulation algorithm are listed in the following procedure [23], [24] A detailed explanation of each step of the simulation algorithm is given in the following text.…”

Section: Simulation Algorithmmentioning

confidence: 99%

“…For that purpose, a random number is drawn from the Poisson probability distribution. The Poisson probability distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur with a known constant rate and independently of the time since the last event [23].…”

Section: ) Generating the Artificial Set Of Faultsmentioning

confidence: 99%

“…Based on long-term measurements, it is possible to determine the usual patterns of expected customer load in terms of hour, day and month. Expected load of the customer connected at some bus i, at the instant of fault occurred in hour h, day d and month m, is computed by the following expression [23]:…”

Section: ) Simulating the Customer Loadsmentioning

confidence: 99%

“…18), and P i is the annual peak load for the customer connected at bus i (given as a part of common input data, explained in the first step of the simulation algorithm). The actual simulated load is then sampled from the normal distribution using the following equation [23]:…”

Section: ) Simulating the Customer Loadsmentioning

confidence: 99%

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Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Mršić¹,

Lekić²,

Erceg³

et al. 2019

ELS

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Fault passage indicators (FPIs) and fault locators (FLs) are employed in modern distribution networks in order to enhance the process of fault localization, thus resulting in reduction of interruption time and improving the reliability of power supply. In this paper, a novel probabilistic techno-economic optimization method is proposed for determining the number and positions of FPIs that lead to maximum reduction of interruptiontime and investment costs in medium voltage (MV) distribution networks with and without FLs. The proposed method is basedon a probabilistic non-sequential Monte Carlo simulation model of the real network, which is a proper compromise between complicated sequential simulation models and too simplified analytical models. The main goal of the method is to obtain maximum improvement of the network reliability indices while using the minimum number of FPIs. The method is tested on a combinedurban/rural MV distribution network in Bosnia and Herzegovina and results are thoroughly discussed.

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Section: Simulation Algorithmmentioning

confidence: 99%

Section: ) Generating the Artificial Set Of Faultsmentioning

confidence: 99%

Section: ) Simulating the Customer Loadsmentioning

confidence: 99%

Section: ) Simulating the Customer Loadsmentioning

confidence: 99%

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Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Mršić¹,

Lekić²,

Erceg³

et al. 2019

ELS

Self Cite

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show abstract

“…In [20], Mršić et al, outlined the importance of FLs with FPIs and developed an algorithm for determining the location of FPIs in distribution network with installed FLs. Zeljković et al, in [21], assessed the performance of FLs and FPIs separately and by combining them together in distribution networks using non-sequential Monte-Carlo simulation and further highlighted the advantages of FPIs over FLs.…”

Section: Introductionmentioning

confidence: 99%

Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

Jain¹,

Ghosh²,

Mohanta³

2019

Prot Control Mod Power Syst

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Power distribution systems are profoundly inclined to disturbances like untimely switching of breakers & relays, sympathetic tripping, and uncertainties regarding fault location. Thus, system stability and reliability are greatly affected. In this way, situational awareness and system integrity are the crucial factors in developing power system security, as it empowers successful decision making & timely reaction by the operators to any disturbance and also maintaining continuity of power supply. This paper focuses on the enhancement of situational awareness by fault location through fault passage indicators (FPI) to improve nominal impedance-based methods in distribution networks. Also, the proposed method is validated by comparing it with Intelligent Electronic Device (IED) based fault location method. Further, simultaneous reconfiguration of the system is incorporated to maintain the continuity of supply. The analysis has been tested on IEEE 33 bus distribution system.

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Fault Detection in Overhead Lines Using IoT-Enabled Fault Passage Indicator

Yadav

Verma

Saini

2021

Advances in Intelligent Systems and Computing

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Performance Assessment of Fault Locators and Fault Passage Indicators in Distribution Networks by the Non-Sequential Monte Carlo Simulation

Cited by 5 publications

References 14 publications

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Probabilistic Techno-Economic Optimization in Medium Voltage Distribution Networks with Fault Passage Indicators and Fault Locators

Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

Fault Detection in Overhead Lines Using IoT-Enabled Fault Passage Indicator

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