Abstract
This paper describes a fault diagnosis method based on the equivalent-input-disturbance (EID) approach to power distribution feeders connected to a photovoltaic (PV) system. Node faults are treated as a system disturbance and are estimated using an EID estimator. First, a dynamic model that contains both the PV system and a power supply utility for the feeder is built. Second, an EID estimator is constructed to estimate the disturbance to the system on the control input channel. Third, a method for abstracting the amount caused by the PV system in the EID is presented to estimate the effect caused by faults. Simulation results demonstrate the validity and superiority of the method.
Original language | English |
---|---|
Pages (from-to) | 283-290 |
Number of pages | 8 |
Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
Volume | 17 |
Issue number | 2 |
Publication status | Published - 2013 Mar |
Keywords
- Equivalent input disturbance (EID)
- Fault diagnosis
- Grid-connected photovoltaic (PV) system
- Power system
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Human-Computer Interaction