Title :
Loadability margin estimation of power system using model trees
Author :
Patidar, N.P. ; Sharma, Jaydev
Author_Institution :
Dept. of Electr. Eng., M.A. Nat. Inst. of Technol., Bhopal
Abstract :
This paper presents a model tree (MT) method for estimation of loadability margins of power system under single line outage contingency and varying loading conditions. Maximum loadability margin is used as an index for voltage security assessment. In this paper model trees estimate the loadability margins in terms of continuous values. Learning states for MT are generated by computer simulation using continuation power flow and limits on reactive generation are considered while calculating loadability margins. Once the model tree is built it acquires the knowledge on the basis of which it estimates post-contingent maximum loadability margins efficiently and within the desired accuracy. The computation speed of this method is very high (ultra-fast), hence it can be more useful for real time applications. The effectiveness of this approach is tested on IEEE 30-bus test system, using unknown test patterns
Keywords :
IEEE standards; digital simulation; load flow; power system security; regression analysis; trees (mathematics); IEEE 30-bus test system; computer simulation; linear regression; model tree method; post-contingent loadability margin estimation; power flow; power system; single line outage contingency; voltage security assessment; Artificial neural networks; Load flow; Power generation; Power system interconnection; Power system modeling; Power system security; Power system stability; Reactive power; System testing; Voltage;
Conference_Titel :
Power India Conference, 2006 IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-9525-5
DOI :
10.1109/POWERI.2006.1632534