Fault Diagnosis for Distribution Feeder Base on Fuzzy Logic

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Nugroho, A.^1 ; Mulyadi, Y.^1 ; Abdullah, A.G.^1 ; Nandiyanto, A.B.D.^2

Electrical Engineering Department, Universitas Pendidikan Indonesia, Indonesia^1

Departemen Pendidikan Kimia, Universitas Pendidikan Indonesia, Indonesia^2

关键词: Accuracy level;    Data flow;    Distribution feeders;    Energy demands;    Fuzzy rule based;    Soft computing approaches;    Substation feeders;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012009/pdf
DOI  :  10.1088/1757-899X/288/1/012009

来源: IOP

【 摘 要 】

Changes in the increased energy demand of the community cause a disturbance flow to the substation feeder. This paper describes fault diagnosis result in feeder distribution using soft computing approach namely, fuzzy logic. Fault diagnosis study is done by processing the data flow disturbance and the location of the disturbance point on the substation. The data used as learning input on fuzzy logic. The test results show that Fuzzy Rule-Based has a good accuracy level in indicating the type of fault current, but the accuracy level decreases when indicating the location of the fault current.