Title :
Reliability analysis for intelligent proction system of smart substation
Author :
Peng Shen ; Lin Guan ; Tongwen Wang
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
Abstract :
The intelligent protection system of smart substation has a variety of sampling and tripping schemes, the research of reliabilities of different schemes protection is significant to choose the best scheme and improve the reliability of protection. This paper established the protection models of the 220KV smart substation line, transformer and bus-bar protection models under typical sampling and tripping schemes, The reliability block diagrams are used to calculate and analyze the reliability, Bayesian network is used to achieve the "Direct sampling and direct tripping" scheme protection sensitivity analysis, find out the weak link of the protections and optimize the design of the protection and guide the maintenance.
Keywords :
belief networks; busbars; power system protection; power system reliability; power transformer protection; substation protection; Bayesian network; bus-bar protection models; direct sampling scheme; direct tripping scheme; intelligent protection system; protection sensitivity analysis; reliability analysis; reliability block diagrams; smart substation line protection models; transformer protection models; voltage 220 kV; Maintenance engineering; Optical fiber networks; Reliability; Sensitivity analysis; Substations; Bayesian network; Protection; Reliability; Reliability block diagrams; Smart substation;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
DOI :
10.1109/APPEEC.2013.6837236
