Application of a deep level knowledge model to dynamic behavior analysis of power systems

Author

Machias, A.V. ; Souflis, J.L. ; Papadias, B.C.

Author_Institution

Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

20

Issue

3

fYear

1990

Firstpage

701

Lastpage

708

Abstract

The feasibility of power system dynamic analysis using qualitative reasonings with deep-level power system structure models is demonstrated. State transition models of the power system network components are developed to encode deep-level power system expert knowledge into the computer. The dynamic behavior of the system is then analyzed using this knowledge. The developed computational method is used to analyze the dynamic behavior of the Hellenic transmission system. Both the transient stability data and the acquisition of knowledge relevant to reasons behind problems affecting system stability can be ascertained

Keywords

expert systems; inference mechanisms; knowledge acquisition; power system analysis computing; stability; Hellenic transmission system; deep level knowledge model; dynamic behavior analysis; knowledge acquisition; power systems; qualitative reasonings; state transition models; transient stability; Buildings; Computer science; Data analysis; Human factors; Mathematical model; Power system analysis computing; Power system dynamics; Power system modeling; Testing; Text analysis;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.57280

Filename

57280