Risk based vulnerability assessment for HVDC transmission system

Author

Weihua, Chen ; Quanyuan, Jiang ; Yijia, Cao

Author_Institution

Coll. of Electr. Eng., Zhejiang Univ., Hangzhou

fYear

2005

fDate

Nov. 29 2005-Dec. 2 2005

Firstpage

734

Abstract

With the increasing utilization of HVDC system, security assessment of HVDC system has become a hot topic. This paper presents a novel approach using the framework of vulnerability to assess HVDC system security. First, equivalent models of HVDC systems, based on Markov model and logical diagram, are built to solve "dimension disaster" problem. Second, the risk index is used as an indicator of the level of security, and its sensitivity to a changing system parameter is used as an indicator of its trend. These two indicators are combined to determine the degree of HVDC system vulnerability to contingent disturbances. Finally, artificial neural network (ANN) is applied to the fast pattern recognition and classification of system vulnerability status. A case of Gezhouba-Shanghai HVDC system in China is presented to verify correctness and effectiveness of the approach

Keywords

HVDC power transmission; Markov processes; neural nets; pattern recognition; power system analysis computing; power system security; power transmission faults; risk analysis; China; Gezhouba-Shanghai HVDC system; HVDC system security assessment; HVDC transmission system; Markov model; artificial neural network; contingent disturbances; dimension disaster problem; pattern recognition; risk based vulnerability assessment; system vulnerability status classification; Artificial neural networks; Computational modeling; Educational institutions; HVDC transmission; Information security; Pattern recognition; Power generation economics; Power system economics; Power system interconnection; Power system security; Artificial Neural Network (ANN); HVDC System; Risk Method; Vulnerability Assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2005. IPEC 2005. The 7th International

Conference_Location

Singapore

Print_ISBN

981-05-5702-7

Type

conf

DOI

10.1109/IPEC.2005.207004

Filename

1627293