Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm
Asset management of distribution systems is an important issue for smart grid. Maintenance scheduling, as an important part of asset management, affects the reliability of distribution equipment and power supply. This research focuses on long-term distribution system maintenance scheduling aided by...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/694086 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850172488577712128 |
|---|---|
| author | Jianxue Wang Jianming Lu Zhaohong Bie Shutang You Xiaoyu Cao |
| author_facet | Jianxue Wang Jianming Lu Zhaohong Bie Shutang You Xiaoyu Cao |
| author_sort | Jianxue Wang |
| collection | DOAJ |
| description | Asset management of distribution systems is an important issue for smart grid. Maintenance scheduling, as an important part of asset management, affects the reliability of distribution equipment and power supply. This research focuses on long-term distribution system maintenance scheduling aided by available operation information, which is a prominent advantage of smart grid over conventional distribution systems. In this paper, the historical and future operation information in smart grid is taken into account through a decoupled time-varying reliability model of equipment. Based on distribution system reliability assessment, a maintenance scheduling model is proposed to determine the optimal implementation time of maintenance activities to minimize distribution systems’ total cost, while satisfying reliability requirements. A combined algorithm that consists of particle swarm optimization and tabu search is designed and applied to the optimization problem. Numerical result verifies that the proposed method can schedule long-term maintenance of distribution systems in smart grid economically and effectively. |
| format | Article |
| id | doaj-art-c789bab9b47f4f7ab780cea068db35be |
| institution | OA Journals |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-c789bab9b47f4f7ab780cea068db35be2025-08-20T02:20:05ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/694086694086Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS AlgorithmJianxue Wang0Jianming Lu1Zhaohong Bie2Shutang You3Xiaoyu Cao4School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaAsset management of distribution systems is an important issue for smart grid. Maintenance scheduling, as an important part of asset management, affects the reliability of distribution equipment and power supply. This research focuses on long-term distribution system maintenance scheduling aided by available operation information, which is a prominent advantage of smart grid over conventional distribution systems. In this paper, the historical and future operation information in smart grid is taken into account through a decoupled time-varying reliability model of equipment. Based on distribution system reliability assessment, a maintenance scheduling model is proposed to determine the optimal implementation time of maintenance activities to minimize distribution systems’ total cost, while satisfying reliability requirements. A combined algorithm that consists of particle swarm optimization and tabu search is designed and applied to the optimization problem. Numerical result verifies that the proposed method can schedule long-term maintenance of distribution systems in smart grid economically and effectively.http://dx.doi.org/10.1155/2014/694086 |
| spellingShingle | Jianxue Wang Jianming Lu Zhaohong Bie Shutang You Xiaoyu Cao Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm Journal of Applied Mathematics |
| title | Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm |
| title_full | Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm |
| title_fullStr | Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm |
| title_full_unstemmed | Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm |
| title_short | Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm |
| title_sort | long term maintenance scheduling of smart distribution system through a pso ts algorithm |
| url | http://dx.doi.org/10.1155/2014/694086 |
| work_keys_str_mv | AT jianxuewang longtermmaintenanceschedulingofsmartdistributionsystemthroughapsotsalgorithm AT jianminglu longtermmaintenanceschedulingofsmartdistributionsystemthroughapsotsalgorithm AT zhaohongbie longtermmaintenanceschedulingofsmartdistributionsystemthroughapsotsalgorithm AT shutangyou longtermmaintenanceschedulingofsmartdistributionsystemthroughapsotsalgorithm AT xiaoyucao longtermmaintenanceschedulingofsmartdistributionsystemthroughapsotsalgorithm |