NEW DISTRIBUTED PROTECTION ALGORITHM BASED ON ANN AND ADAPTIVE FAULT AREA SEARCH
DG has great negative effects on conventional relay protection in distribution networks. Decentralized protection strategy is more profitable mechanism to contain shortages and to satisfied fault selectivity of power system. It is known that voltage measure is difficult in distributed system (DS). The paper proposed an innovative way to decide fault direction without voltage measurement and developed an intelligent adaptive fault location by isolating DS. This locating algorithm can greatly reduce protection information collection requirement because of artificial neural network (AMIS) introduction. With ANN, it can classify relevant fault area more easily and fault clearance will be more quick and sensitive. Case studies have been shown to support algorithm advantages.
Distributed protection DG Fault direction Relevant fault area ANN
YANG XU QING-JIE ZHANG YU-PING LU
School of Electrical Engineering of Southeast University, Nanjing 210096, China
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
3878-3884
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）