Optimizing the Surge Arresters Location for Improving Lightning Induced Voltage Performance of Distribution Network

Pérez, Ernesto; Delgadillo, A.; Urrutia, Diego; Torres, Horacio

doi:10.1109/pes.2007.385697

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…Many works can be found in the literature whose focus is the allocation of surge arresters using metaheuristics (e.g., [2][3][4][5][6][7][8]). Several intelligent techniques may be used for the allocation procedure, for example, the use of Fuzzy Logic technique [2], the Discrete Imperialist Competition Algorithm [7], and the Genetic Algorithm, which is one of the computational intelligence techniques that seems to be quite consolidated in the optimal solution of this type of problem [3][4][5][6]8].…”

Section: Introductionmentioning

confidence: 99%

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

et al. 2019

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The efficient protection of electric power distribution networks against lightning discharges is a crucial problem for distribution electric utilities. To solve this problem, the great challenge is to find a solution for the installation of surge arresters at specific points in the electrical grid and in a sufficient quantity that can ensure an adequate level of equipment protection and be within the utility’s budget. As a solution to this problem of using ATP (Alternative Transient Program), this paper presents a methodology for optimized surge arrester allocation based on genetic algorithm (GA), with a fitness function that maximizes the number of protected equipment according to the financial availability for investment in surge arresters. As ATP may demand too much processing time when running large distribution grids, an innovative procedure is implemented to obtain an overvoltage severity description of the grid and select only the most critical electric nodes for the incidence of lightning discharges, in the GA allocation procedure. The results obtained for the IEEE-123 bus electric feeder indicate a great reduction of flashover occurrence, thus increasing the equipment protection level.

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Section: Introductionmentioning

confidence: 99%

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

et al. 2019

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“…The dissipated energy and the response of low voltage protective devices in the presence of current impulses and induced voltages generated by subsequent strokes were analyzed in [36]- [38]. Pérez et al [39] presented a feasible technical and economical solution to optimize the location of surge arresters on distribution networks by implementing a genetic algorithm technique.…”

Section: Protective Devicesmentioning

confidence: 99%

La investigación del rayo en Colombia: Parámetros del rayo, sistemas de protección, evaluación de riesgos y sistemas de alerta

Rojas

Santamaría

Escobar

et al. 2017

inde

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“…where V pk is the peak value of induced voltage calculated by (4). However, no flashover will occur on the protected pole.…”

Section: Induced Voltages Caused By Nearby Strokesmentioning

confidence: 99%

“…In [4][5][6], an optimisation method based on genetic algorithm (GA) which is applicable for large networks and belongs to discrete methods is introduced.…”

Section: Introductionmentioning

confidence: 99%

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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Optimizing the Surge Arresters Location for Improving Lightning Induced Voltage Performance of Distribution Network

Cited by 17 publications

References 12 publications

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

Optimized Surge Arrester Allocation Based on Genetic Algorithm and ATP Simulation in Electric Distribution Systems

La investigación del rayo en Colombia: Parámetros del rayo, sistemas de protección, evaluación de riesgos y sistemas de alerta

Optimisation of arrester location in risk assessment in distribution network

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