Statistical evaluation of lightning-related failures for the optimal location of surge arresters on the power networks

Shariatinasab, Reza; Vahidi, B.; Hosseinian, Seyed Hossein

doi:10.1049/iet-gtd:20070373

Cited by 37 publications

(33 citation statements)

References 19 publications

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“…This leads to the need to develop a method to establish the number of surge arresters and their location in a distribution network according to an economical criterion. Several related studies have been done [2] [3] [4] using an optimization procedure for number and location of surge arresters based on heuristic techniques. In [2], the optimization is done by fuzzy logic techniques while [3] and [4] have applied evolutionary strategies based on genetic algorithms (GA).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surge Arrester Locations in Overhead Distribution Networks

Bullich‐Massagué

Villafáfila‐Robles

Rull-Duran

2015

IEEE Trans. Power Delivery

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Lightning is considered one of the main causes of faults in overhead distribution networks. Direct strokes usually lead to flashovers due to the insulation levels that are used. Induced overvoltages caused by indirect lightning are usually lower and can be efficiently reduced by metaloxide surge arresters. Hence, its associated flashover rate can be reduced. In this paper, a heuristic method is proposed to optimize the number of surge arresters as well as their locations. The method presented is based on genetic algorithms and an economic approach is taken into account by means of evaluating the cost of insulation flashover. © 19862012 IEEE. Abstract-Lightning is considered one of the main causes of faults in overhead distribution networks. Direct strokes lead usually to flashovers due to the used insulation levels in those networks. Induced overvoltages caused by indirect lightning are usually lower and can be efficiently reduced by metal oxide surge arresters, hence its associated flashover rate can be reduced. In this paper an heuristic method is proposed to optimize the number of surge arrester as well as their location. The presented method is based on genetic algorithms (GA) and an economic approach is taken into account by means of evaluation the cost of insulation flashover. Author keywords

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Section: Introductionmentioning

confidence: 99%

Optimization of Surge Arrester Locations in Overhead Distribution Networks

Bullich‐Massagué

Villafáfila‐Robles

Rull-Duran

2015

IEEE Trans. Power Delivery

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“…The calculation of random values of lightning parameters is based on the theoretical function given by (1), and the values of footing resistance are obtained assuming a normal distribution function with the mean value equal to footing resistance at low current of each region R o and a standard deviation σ = 5 Ω [5]. Convergence of Monte Carlo method was checked by comparing the probability density function of all the random variables to their theoretical functions, Fig.…”

Section: Case Studymentioning

confidence: 99%

“…So far, some researches have been carried out on effective installation of surge arresters on power networks [2][3][4][5][6]. Actually, only a few spans on each side of the struck point are affected by a lightning surge; then, lightning-related studies should be considered as a discrete problem.…”

Section: Introductionmentioning

confidence: 99%

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Optimisation of arrester location in risk assessment in distribution network

Shariatinasab

Safar

Falaghi

2014

IET Generation, Transmission & Distribution

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This study describes a cost-effective solution for distribution network protection against lightning surges by selective installation of arresters. To go through this, a probabilistic approach based on IEEE Std. 1410 has been implemented and an optimisation method based on discrete imperialist competition algorithm has been developed. The proposed method considers both technical and economic criteria to achieve the best solution. Consequently, the investment costs and the annual total costs including line investment, maintenance and outage costs are being reduced considering the cost of protective devices. In the optimisation procedure, lightning occurrence and network characteristics as well as transmitted power are considered. The obtained results confirm more efficiency of the proposed method than the conventional methods, from either economical or technical point of view.

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“…IEC 62305-2 "Protection against lightning" gives the risk assessment method and its evaluation. It requires a risk assessment to be carried out to determine the characteristics of any lightning protection system to be installed [6].…”

Section: Introductionmentioning

confidence: 99%

Risk Analysis of Lightning and Surge Protection Devices for Power Energy Structures

et al. 2018

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This paper studies the risk data and protection measurements of lightning based on the IEC62305 standard. In addition, Visual Basic (VB) is used to build a lightning risk calculation program with a Graphical User Interface (GUI). The data structure, including environment data, line data, zone data, economic data, and protection measures is designed to simulate risk of loss of human life (R1) and risk of loss of economic value (R4). To achieve the most economical protection structure design, additional protection measurements and annual savings are considered. In the practical application, the main purpose is to discuss effective protection distances of surge protective devices (SPDs) for low-voltage power distribution. This paper takes advantage of Electromagnetic Transients Program (EMTP) to simulate the voltage of equipment with different types of loads and length of the cable. After using the protection measures, the value of risk of human life reduces form 21.299 × 10 −5 to 0.439 × 10 −5 and the value of risk of economic value reduces from 2696.754 × 10 −5 to 98.062 × 10 −5 . The results mean that the protection measures let the values of the risk below the tolerance. By considering the annual cost saving. Assume the cost of protection measures, the interest rate, the depreciation rate, and the maintenance rate are 150,000 $, 4%, 5%, and 1%, respectively. The annual cost before using protective measures, the annual cost after using protective measures, the annual cost of protective measures, and the annual cost saving are $925,000, $33,635, $15,000 and $876,365, respectively. Consequently, it is feasible that the simulation result can provide users with great suggestions to choose the best installation location and achieve the most effective protection design.

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Statistical evaluation of lightning-related failures for the optimal location of surge arresters on the power networks

Cited by 37 publications

References 19 publications

Optimization of Surge Arrester Locations in Overhead Distribution Networks

Optimization of Surge Arrester Locations in Overhead Distribution Networks

Optimisation of arrester location in risk assessment in distribution network

Risk Analysis of Lightning and Surge Protection Devices for Power Energy Structures

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