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

 
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Journal part (EN)
Scientific article (EN)
1990 (EN)
Application of a deep level knowledge model to dynamic behavior analysis of power systems (EN)
Papadias, BC (EN)
Machias, AV (EN)
Souflis, JL (EN)
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. (EN)
journalArticle (EN)
Transient Stability (EN)
Dynamic Behavior Analysis (EN)
Knowledge Modeling (EN)
Power System Dynamic Analysis (EN)
Expert Systems (EN)
Deep Level Knowledge Model (EN)
Dynamic Behavior (EN)
Electric Power Systems (EN)
Engineering, Electrical & Electronic (EN)
Expert Knowledge (EN)
State Transition Models (EN)
Interconnected Power Systems (EN)
Computational Method (EN)
System Stability--Analysis (EN)
Power System (EN)
Power System Dynamics (EN)
Qualitative Reasoning (EN)
Structural Model (EN)
State Transition (EN)
Computer Science, Cybernetics (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
Ιδρυματικό Αποθετήριο
Δημοσιεύσεις μελών Δ.Ε.Π. σε περιοδικά
IEEE Transactions on Systems, Man and Cybernetics (EN)
English
1990 (EN)
http://hdl.handle.net/123456789/10182
3 (EN)
701 (EN)
10.1109/21.57280 (EN)
ISI:A1990DN13400016 (EN)
0018-9472 (EN)
20 (EN)
708 (EN)
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (EN)



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