Title :
Fault identification algorithm applied in regional backup protection based on fault condition set
Author :
Jiang Xianguo ; Wang ZengPing ; Li Chen
Author_Institution :
State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Abstract :
A fault identification algorithm based on the fault condition set (FCS) is proposed, which is applied in the regional backup protection system. Firstly, the element action factor (AF) is defined to indicate the operation state of protection elements. With the help of the AF, the fault condition set is presented for estimating the fault situation of a studied transmission line. Secondly, the element relationship factor (RF) is defined to show the relevance of the protection elements to the corresponding lines. By using the AF and RF, the line fault factor (FF) is formed. The function of the FF is to convert the FCS to a fault identification criterion which can be directly disposed by the backup protection system. Hence the fault identification criterion also has the capability to determinate a fault line. Finally, simulation results demonstrate that no incorrect judgment happens, even in the situations that any two messages are lost or one message is misjudged. The proposed algorithm is concise and reliable with great information error tolerant ability.
Keywords :
power system faults; power system protection; power transmission lines; element action factor; element relationship factor; fault condition set; fault identification algorithm; information error tolerant ability; line fault factor; protection elements; regional backup protection system; transmission line; Fault diagnosis; Security; fault condition set (FCS); fault factor (FF); fault identification algorithm; information error; regional backup protection;
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
DOI :
10.1109/APAP.2011.6180776