A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks
The estimation of the lightning performance of a power distribution network is of great importance to design its protection system against lightning. An accurate evaluation of the number of lightning events that can create dangerous overvoltages requires a huge computational effort, as it implies th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-11-01
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| Series: | Atmosphere |
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| Online Access: | http://www.mdpi.com/2073-4433/7/11/147 |
| _version_ | 1818960585712205824 |
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| author | Ilaria Bendato Massimo Brignone Federico Delfino Renato Procopio Farhad Rachidi |
| author_facet | Ilaria Bendato Massimo Brignone Federico Delfino Renato Procopio Farhad Rachidi |
| author_sort | Ilaria Bendato |
| collection | DOAJ |
| description | The estimation of the lightning performance of a power distribution network is of great importance to design its protection system against lightning. An accurate evaluation of the number of lightning events that can create dangerous overvoltages requires a huge computational effort, as it implies the adoption of a Monte Carlo procedure. Such a procedure consists of generating many different random lightning events and calculating the corresponding overvoltages. The paper proposes a methodology to deal with the problem in two computationally efficient ways: (i) finding out the minimum number of Monte Carlo runs that lead to reliable results; and (ii) setting up a procedure that bypasses the lightning field-to-line coupling problem for each Monte Carlo run. The proposed approach is shown to provide results consistent with existing approaches while exhibiting superior Central Processing Unit (CPU) time performances. |
| first_indexed | 2024-12-20T11:59:53Z |
| format | Article |
| id | doaj.art-07e31e57f925469d9d49bbe8f3abaa88 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-12-20T11:59:53Z |
| publishDate | 2016-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-07e31e57f925469d9d49bbe8f3abaa882022-12-21T19:41:34ZengMDPI AGAtmosphere2073-44332016-11-0171114710.3390/atmos7110147atmos7110147A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution NetworksIlaria Bendato0Massimo Brignone1Federico Delfino2Renato Procopio3Farhad Rachidi4Department of Mechanical, Energy, Management and Transportation Engineering, University of Genoa, I-16145 Genoa, ItalyDepartment of Naval, Electrical, and ICT Engineering, University of Genoa, I-16145 Genoa, ItalyDepartment of Naval, Electrical, and ICT Engineering, University of Genoa, I-16145 Genoa, ItalyDepartment of Naval, Electrical, and ICT Engineering, University of Genoa, I-16145 Genoa, ItalyEMC Laboratory, Swiss Federal Institute of Technology, CH-1015 Lausanne, SwitzerlandThe estimation of the lightning performance of a power distribution network is of great importance to design its protection system against lightning. An accurate evaluation of the number of lightning events that can create dangerous overvoltages requires a huge computational effort, as it implies the adoption of a Monte Carlo procedure. Such a procedure consists of generating many different random lightning events and calculating the corresponding overvoltages. The paper proposes a methodology to deal with the problem in two computationally efficient ways: (i) finding out the minimum number of Monte Carlo runs that lead to reliable results; and (ii) setting up a procedure that bypasses the lightning field-to-line coupling problem for each Monte Carlo run. The proposed approach is shown to provide results consistent with existing approaches while exhibiting superior Central Processing Unit (CPU) time performances.http://www.mdpi.com/2073-4433/7/11/147lightning performanceMonte Carlo methodCritical Flashover Voltage |
| spellingShingle | Ilaria Bendato Massimo Brignone Federico Delfino Renato Procopio Farhad Rachidi A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks Atmosphere lightning performance Monte Carlo method Critical Flashover Voltage |
| title | A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks |
| title_full | A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks |
| title_fullStr | A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks |
| title_full_unstemmed | A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks |
| title_short | A Methodology to Reduce the Computational Effort in the Evaluation of the Lightning Performance of Distribution Networks |
| title_sort | methodology to reduce the computational effort in the evaluation of the lightning performance of distribution networks |
| topic | lightning performance Monte Carlo method Critical Flashover Voltage |
| url | http://www.mdpi.com/2073-4433/7/11/147 |
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