Smart Fault Diagnosis System for Distribution Systems with DGs

• Main Authors: Luan, Shangwen, 欒尚文
• Other Authors: Chen, Chaoshun
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/8umct7

博士 === 義守大學 === 電機工程學系 === 101 === Fault Management System (FMS) provides very important functions for the Advanced Distribution Automation System (ADAS) and the Smart Grid. Fault indicating devices such as Fault Current Indicators (FCIs) have been widely used in the FMS to improve reliability and reduce outage duration. Although the conventional FCIs are useful, sectionalizing the distribution system to determine fault locations in a wide-ranging distribution system is a time-consuming procedure, since no communication interfaces can be used to report the FCIs’ statuses after faults occurred. Therefore, a FCI embedded with communication interfaces is designed and implemented in this dissertation. A Multi-Level Fault-Current Indicator (MLFCI) having a plurality of reed switches used to detect different current levels is also proposed in this dissertation. Based on the proposed FCIs and MLFCIs, a Smart Fault Diagnosis System (SFDS) for distribution systems with DGs is realized in this dissertation. The performance and accuracy of the SFDS greatly depend on the quality of communication network deployed by the proposed FCIs and MLFCIs. Therefore, a communication quality evaluation platform is therefore designed and used to conduct field measurements of communication quality parameters in this dissertation. Even then the proposed FCIs and MLFCIs were installed to the SFDS, how to identify the fault locations in a wide-ranging distribution system based on FCIs’ and MLFCIs’ statuses is not an easy task, especially when DGs are interconnected. A fast fault location method for distribution systems with DGs is also proposed in this dissertation. The advantages of faster fault detection, shorter interruption time, lower interruption cost, and higher system reliability can be provided by the proposed SFDS. Experimental and simulated results show that the communication quality of the SFDS can be effectively analyzed. Besides, the great performance of the proposed SFDS is demonstrated.