Rule base-Disturbance Estimation Based Fault Diagnosis for Grid Connected PV System
Tivisha Goel, UG Student, Department of Electronics and Communication Engineering, Indira Gandhi Delhi Technical University for Women, Delhi, India.
Manuscript received on August 18, 2015. | Revised Manuscript received on August 29, 2015. | Manuscript published on September 05, 2015. | PP: 90-94 | Volume-5 Issue-4, September 2015 . | Retrieval Number: D2706095415 /2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The paper contains a novel online fault diagnosis for distribution feeder with photovoltaic (PV) generation embedded. The aim of the research is to isolate and prevent system faults in Grid connected PV System. Firstly, a dynamic model of distribution feeder for fault diagnosis is built. Design of proposed fault diagnosis has two stages: firstly, an Equivalent Input Disturbance (EID) approach for the fault estimation is formulated; and Fuzzy knowledge base system is designed for analyzing the characteristics of the EID. The faults position can be located and the fault types can be identified. In this study Fault Diagnosis technique obtains fault detection, identification and halting the system. In the meantime graphical user interface (GUI) is opened when fault is detected. GUI shows the measurement value, fault time and fault type. This property gives some information about the system to the personnel. As seen from the simulation results, faults can be detected and identified as soon as fault appears. In summary, if the system has a fault diagnosis structure, system dangerous situations can be avoided.
Keywords: Fault Detection, Distribution network, PV System, Fuzzy Logic, User Interface.