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

fYear

2013

fDate

8-11 Dec. 2013

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific

Conference_Location

Kowloon

Type

conf

DOI

10.1109/APPEEC.2013.6837236

Filename

6837236