Distributed generation;
Islanding detection;
Scalogram;
Time series data;
CNN;
DISTRIBUTED GENERATION;
SYSTEM;
POWER;
D O I:
10.1007/s00500-022-07561-3
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The ever increasing demand for electricity leads to the advancement of distributed generation (DG). Almost all DG sources are renewable nature. One of the major complications with the high penetration of DG sources is islanding. The islanding may damage the clients and their equipment. As per the IEEE 1547 DG interconnection standards, the islanding will be identified in two seconds and the DG must be turned off. In this paper, an advanced islanding detection process stands on a deep learning technique with continuous wavelet transforms and convolution neural networks implemented. This approach transforms the time series information into scalogram images, and later, the images are used to train and test the islanding and non-islanding events. The outcomes are correlated with the artificial neural networks and fuzzy logic methods. The comparison shows that the proposed deep learning approach efficiently detects the islanding and non-islanding events.
机构:
Univ Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Khamis, Aziah
Xu, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Xu, Yan
Dong, Zhao Yang
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Dong, Zhao Yang
Zhang, Rui
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
China Southern Power Grid Res Inst, Smart Grid Dept, Guangzhou 514000, Guangdong, Peoples R ChinaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
机构:
Univ Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Khamis, Aziah
Xu, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Xu, Yan
Dong, Zhao Yang
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, AustraliaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia
Dong, Zhao Yang
Zhang, Rui
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
China Southern Power Grid Res Inst, Smart Grid Dept, Guangzhou 514000, Guangdong, Peoples R ChinaUniv Tekn Malaysia, Fac Elect Engn, Malacca 76109, Malaysia