Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method
In this paper we have treated the reliability assessment problem of low and high DG penetration level of active distribution system using the Monte Carlo simulation method. The problem is formulated as a two-case program, the program of low penetration simulation and the program of high penetration...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/421347 |
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| _version_ | 1832545282884108288 |
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| author | Shaoyun Ge Li Xu Hong Liu Mingxin Zhao |
| author_facet | Shaoyun Ge Li Xu Hong Liu Mingxin Zhao |
| author_sort | Shaoyun Ge |
| collection | DOAJ |
| description | In this paper we have treated the reliability assessment problem of low and high DG penetration level of active distribution system using the Monte Carlo simulation method. The problem is formulated as a two-case program, the program of low penetration simulation and the program of high penetration simulation. The load shedding strategy and the simulation process were introduced in detail during each FMEA process. Results indicate that the integration of DG can improve the reliability of the system if the system was operated actively. |
| format | Article |
| id | doaj-art-1791c4919c794c268c281d2ab4a24ca2 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-1791c4919c794c268c281d2ab4a24ca22025-02-03T07:26:17ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/421347421347Reliability Assessment of Active Distribution System Using Monte Carlo Simulation MethodShaoyun Ge0Li Xu1Hong Liu2Mingxin Zhao3Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaIn this paper we have treated the reliability assessment problem of low and high DG penetration level of active distribution system using the Monte Carlo simulation method. The problem is formulated as a two-case program, the program of low penetration simulation and the program of high penetration simulation. The load shedding strategy and the simulation process were introduced in detail during each FMEA process. Results indicate that the integration of DG can improve the reliability of the system if the system was operated actively.http://dx.doi.org/10.1155/2014/421347 |
| spellingShingle | Shaoyun Ge Li Xu Hong Liu Mingxin Zhao Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method Journal of Applied Mathematics |
| title | Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method |
| title_full | Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method |
| title_fullStr | Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method |
| title_full_unstemmed | Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method |
| title_short | Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method |
| title_sort | reliability assessment of active distribution system using monte carlo simulation method |
| url | http://dx.doi.org/10.1155/2014/421347 |
| work_keys_str_mv | AT shaoyunge reliabilityassessmentofactivedistributionsystemusingmontecarlosimulationmethod AT lixu reliabilityassessmentofactivedistributionsystemusingmontecarlosimulationmethod AT hongliu reliabilityassessmentofactivedistributionsystemusingmontecarlosimulationmethod AT mingxinzhao reliabilityassessmentofactivedistributionsystemusingmontecarlosimulationmethod |