Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm
Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed. The photovoltaic plants, considering the position of wind gaps, the illumination time, and other environmental factors, adopt...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2021-09-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-9-1169.shtml |
| _version_ | 1818738333375791104 |
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| author | LI Cuiming, WANG Ning, ZHANG Chen |
| author_facet | LI Cuiming, WANG Ning, ZHANG Chen |
| author_sort | LI Cuiming, WANG Ning, ZHANG Chen |
| collection | DOAJ |
| description | Aimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed. The photovoltaic plants, considering the position of wind gaps, the illumination time, and other environmental factors, adopt a hierarchical mission planning based on the cleaning priority, and use the Hamilton graph to turn the cleaning problem of photovoltaic panels into a travelling salesman problem (TSP). Considering the disadvantages of low efficiency and early convergence of the genetic algorithm, an improved genetic algorithm, which includes the hybrid selection operator combining the tournament selection with the roulette wheel selection and the crossover operator based on the segmentation rule is thus put forward. The improved genetic algorithm is applied to plan the cleaning order of robots to clean the photovoltaic panels. The experimental results show that in comparison with the adaptive genetic algorithm, the improved genetic algorithm has a higher efficiency and better results. |
| first_indexed | 2024-12-18T01:07:16Z |
| format | Article |
| id | doaj.art-ff628df163734d82ad11d2619486d8b4 |
| institution | Directory Open Access Journal |
| issn | 1006-2467 |
| language | zho |
| last_indexed | 2024-12-18T01:07:16Z |
| publishDate | 2021-09-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj.art-ff628df163734d82ad11d2619486d8b42022-12-21T21:26:13ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672021-09-015591169117410.16183/j.cnki.jsjtu.2020.254Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic AlgorithmLI Cuiming, WANG Ning, ZHANG Chen0School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, ChinaAimed at the mission planning for cleaning photovoltaic panels in large-area photovoltaic plants with mobile cleaning robots, a district planning strategy is hereby proposed. The photovoltaic plants, considering the position of wind gaps, the illumination time, and other environmental factors, adopt a hierarchical mission planning based on the cleaning priority, and use the Hamilton graph to turn the cleaning problem of photovoltaic panels into a travelling salesman problem (TSP). Considering the disadvantages of low efficiency and early convergence of the genetic algorithm, an improved genetic algorithm, which includes the hybrid selection operator combining the tournament selection with the roulette wheel selection and the crossover operator based on the segmentation rule is thus put forward. The improved genetic algorithm is applied to plan the cleaning order of robots to clean the photovoltaic panels. The experimental results show that in comparison with the adaptive genetic algorithm, the improved genetic algorithm has a higher efficiency and better results.http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-9-1169.shtmlphotovoltaic plantscleaning robotmission planninggenetic algorithmtravelling salesman problem (tsp) |
| spellingShingle | LI Cuiming, WANG Ning, ZHANG Chen Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm Shanghai Jiaotong Daxue xuebao photovoltaic plants cleaning robot mission planning genetic algorithm travelling salesman problem (tsp) |
| title | Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm |
| title_full | Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm |
| title_fullStr | Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm |
| title_full_unstemmed | Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm |
| title_short | Hierarchical Mission Planning for Cleaning Photovoltaic Panels Based on Improved Genetic Algorithm |
| title_sort | hierarchical mission planning for cleaning photovoltaic panels based on improved genetic algorithm |
| topic | photovoltaic plants cleaning robot mission planning genetic algorithm travelling salesman problem (tsp) |
| url | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-9-1169.shtml |
| work_keys_str_mv | AT licuimingwangningzhangchen hierarchicalmissionplanningforcleaningphotovoltaicpanelsbasedonimprovedgeneticalgorithm |