Impact of the fault location methods on SAIDI of a resonant-earthed distribution system

Habib, Zakaria; Hoq, Tanbhir; Žarković, Sanja Duvnjak; Taylor, Nathaniel

doi:10.1109/powercon48463.2020.9230614

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Electric distribution systems are extensive and complex, they have many loads, and many external factors may have an incidence on these systems; hence these are the electric systems more susceptible to electric failures of multiple causes, which are primarily associated with lack of maintenance, aging of electric networks, the vulnerability of the system in the face of the environment, lack of frequent pruning, insufficient human and material resources, lack of isolator cleaning, animals, electric storms, defective managing equipment, accidents, overloads, and fortuitous causes. In the occurrence of an electric failure, the consumer of the electric energy is affected in two ways due to the frequency of electric service interruptions and the duration of such interruptions [1]. Therefore, the objective of electricity distribution companies is to reduce the frequency and duration of failures in distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

et al. 2023

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This work presents a novel methodology for the optimal location of reclosers in electric distribution systems. The proposal uses a multicriteria analysis to evaluate the reliability indicators for this level 3 (distribution) by generating scenarios from pseudo-random variables. The reliability indicators considered in the study are the System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), and Average Energy Not Supplied (AENS). It is employed a deterministic random generation in a defined range associated with each analysis variable (failure rate by elements and loads, failure duration, number of customers per load point, mean power consumed at each load point, etc.) The reliability indicators (criteria) are calculated for every possible location of a recloser in the candidate primary sections, thus obtaining the decision matrix, normalized and weighted by the CRITIC method to find the optimal location according to a minimum criterion. This analysis is repeated N times through the generation of scenarios using the Montecarlo method, establishing the probability of occurrence of each winning alternative and choosing the final optimal location of the first recloser within the distribution system. The methodology also proposes the switching coordination repeating the previously described analysis for locating a second recloser considering that the first was already a winning alternative within the generation of "many" scenarios. The scope of the proposed methodology is the number of reclosers that it is desired to analyze considering cost constraints and is general for any distribution system. The analysis is carried out with comprehensive programming in the Matlab software environment. The results successfully respond to the maneuver and switching tests with the joint criterion of minimizing all reliability indicators for level 3 (distribution). With this proposal, knowledge gaps in reliability studies are solved. The absence of data is completed with generations of pseudo-random variables, and the optimal location of the reclosers responds to all reliability criteria in distribution with weighting alternatives. The novel proposed methodology is validated with an exhaustive search analysis where all possible single or multiple reconnection scenarios are analyzed. The winning location alternative found coincides with the one determined by the proposed methodology in more than 90% of the generated random scenarios.

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Section: Introductionmentioning

confidence: 99%

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

et al. 2023

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“…Load maneuvering is not the only way that has been done by PT. PLN in maintaining the reliability of the system, several methods have been carried out and developed by electricity providers such as: SAIDI and SAIFI [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Network Maneuvers at Power Substantions

Marwan¹,

Naim²,

Qadarsih³

2021

Intek

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The purpose of this study is to simulate network maneuvers due to disruption in the distribution system. This research was conducted in the Daya substation from January to March 2019, transformer 20 MVA. To achieve the research goal, network maneuvers were carried out in accordance with the standard operation procedure (SOP) of PT. PLN by simulating the conditions before and after the maneuver under Digsilent. Based on the results of the study, it shows that there is a change in the loading value of several back-up feeders to cover consumers demand for day and night time.

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“…These indicators for level 3 of Reliability in electric power systems (distribution level) are known as Average Energy Not Supplied (AENS), System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), and Customer Average Interruption Duration Index (CAIDI) [5], [6]. Measures to reduce failure rates and interruption repair times require considerable investment in human, material, and technical resources for repair and preventive and corrective maintenance [7]. Different authors have established optimization methods that seek solutions for the sectioning location and automatic reconnection configuration.…”

mentioning

confidence: 99%

Multicriteria Analysis for Quality and Reliability in Electrical Systems

Aguila Téllez

2024

Digital Technology for Smart Grid Innovative Algorithmic Solutions for Engineering Problems

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Impact of the fault location methods on SAIDI of a resonant-earthed distribution system

Cited by 6 publications

References 7 publications

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

Simulation of Network Maneuvers at Power Substantions

Multicriteria Analysis for Quality and Reliability in Electrical Systems

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