Placement optimization of Multi-Type fault current limiters based on genetic algorithm
The fault current limiter (FCL) is an effective measure for improving system stability and suppressing short-circuit fault current. Because of space and economic costs, the optimum placement of FCLs is vital in industrial applications. In this study, two objectives with the same dimensional measurem...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-10-01
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| Series: | Global Energy Interconnection |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S209651172100102X |
| _version_ | 1818404227256418304 |
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| author | Guofeng Jin Jie Tan Lingling Liu Chuan Wang Tiejiang Yuan |
| author_facet | Guofeng Jin Jie Tan Lingling Liu Chuan Wang Tiejiang Yuan |
| author_sort | Guofeng Jin |
| collection | DOAJ |
| description | The fault current limiter (FCL) is an effective measure for improving system stability and suppressing short-circuit fault current. Because of space and economic costs, the optimum placement of FCLs is vital in industrial applications. In this study, two objectives with the same dimensional measurement unit, namely, the total capital investment cost of FCLs and circuit breaker loss related to short-circuit currents, are considered. The circuit breaker loss model is developed based on the attenuation rule of the circuit breaker service life. The circuit breaker loss is used to quantify the current-limiting effect to avoid the problem of weight selection in a multi-objective problem. The IEEE 10-generator 39-bus system in New England is used to evaluate the performance of the proposed genetic algorithm (GA) method. Comparative and sensitivity analyses are performed. The results of the optimized plan are validated through simulations, indicating the significant potential of the GA for such optimization. |
| first_indexed | 2024-12-14T08:36:48Z |
| format | Article |
| id | doaj.art-a694bafdc3e04fac88eb9b795ac9b5dd |
| institution | Directory Open Access Journal |
| issn | 2096-5117 |
| language | English |
| last_indexed | 2024-12-14T08:36:48Z |
| publishDate | 2021-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Global Energy Interconnection |
| spelling | doaj.art-a694bafdc3e04fac88eb9b795ac9b5dd2022-12-21T23:09:24ZengKeAi Communications Co., Ltd.Global Energy Interconnection2096-51172021-10-0145501512Placement optimization of Multi-Type fault current limiters based on genetic algorithmGuofeng Jin0Jie Tan1Lingling Liu2Chuan Wang3Tiejiang Yuan4Economic Research Institute, East Inner Mongolia Electric Power Company, Huhhot 010010, PR ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, PR ChinaEconomic Research Institute, East Inner Mongolia Electric Power Company, Huhhot 010010, PR ChinaAnhui Huidian Science and Technology Co., Ltd., Hefei 230088, PR ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, PR ChinaThe fault current limiter (FCL) is an effective measure for improving system stability and suppressing short-circuit fault current. Because of space and economic costs, the optimum placement of FCLs is vital in industrial applications. In this study, two objectives with the same dimensional measurement unit, namely, the total capital investment cost of FCLs and circuit breaker loss related to short-circuit currents, are considered. The circuit breaker loss model is developed based on the attenuation rule of the circuit breaker service life. The circuit breaker loss is used to quantify the current-limiting effect to avoid the problem of weight selection in a multi-objective problem. The IEEE 10-generator 39-bus system in New England is used to evaluate the performance of the proposed genetic algorithm (GA) method. Comparative and sensitivity analyses are performed. The results of the optimized plan are validated through simulations, indicating the significant potential of the GA for such optimization.http://www.sciencedirect.com/science/article/pii/S209651172100102XFault current limiterGenetic algorithmMulti-objectiveCircuit breaker lossShort-circuit currentPlacement |
| spellingShingle | Guofeng Jin Jie Tan Lingling Liu Chuan Wang Tiejiang Yuan Placement optimization of Multi-Type fault current limiters based on genetic algorithm Global Energy Interconnection Fault current limiter Genetic algorithm Multi-objective Circuit breaker loss Short-circuit current Placement |
| title | Placement optimization of Multi-Type fault current limiters based on genetic algorithm |
| title_full | Placement optimization of Multi-Type fault current limiters based on genetic algorithm |
| title_fullStr | Placement optimization of Multi-Type fault current limiters based on genetic algorithm |
| title_full_unstemmed | Placement optimization of Multi-Type fault current limiters based on genetic algorithm |
| title_short | Placement optimization of Multi-Type fault current limiters based on genetic algorithm |
| title_sort | placement optimization of multi type fault current limiters based on genetic algorithm |
| topic | Fault current limiter Genetic algorithm Multi-objective Circuit breaker loss Short-circuit current Placement |
| url | http://www.sciencedirect.com/science/article/pii/S209651172100102X |
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