|
| A bidirectional fault diagnosis method for grounding networks based on target branch dimension reduction |
| DOI：10.19783/j.cnki.pspc.240942 |
| Key Words:grounding network corrosion fault bidirectional diagnosis target branch dimension reduction improved firefly algorithm |
|
| Hits: 389 |
| Download times: 142 |
| Abstract:To reduce the frequent occurrence of misdiagnosis and missed diagnosis in the fault diagnosis of substation grounding networks, a bidirectional fault diagnosis method based on target branch dimension reduction for grounding networks is proposed. First, a model of grounding network based on electrical network theory is established. Next, fault branch detection direction and healthy branch reduction direction are set. The fault branch detection direction transforms the fuzzy fault branches into clear fault branches, while the healthy branch reduction direction defines the fault influence coefficient based on the evaluation function. The branch with the highest influence coefficient is selected as the target dimension reduction object each time, achieving the reduction of fuzzy health branch topology structure. Finally, the improved firefly algorithm (IFA) with Logistic mapping and adaptive weight optimization is used to solve the objective function. Through simulation experiments on specific cases, the proposed method is verified to ensure diagnosis accuracy, while minimizing misdiagnosis and missed diagnosis. |
| View Full Text View/Add Comment Download reader |
|
|
|