DocumentCode :
816184
Title :
Online Inference of the Dynamic Security Level of Power Systems Using Fuzzy Techniques
Author :
Alvarez, Juan Manuel Gimenez ; Mercado, Pedro Enrique
Author_Institution :
Nat. Univ. of San Juan
Volume :
22
Issue :
2
fYear :
2007
fDate :
5/1/2007 12:00:00 AM
Firstpage :
717
Lastpage :
726
Abstract :
Dynamic security assessment (DSA) is the evaluation of the ability of the power system to withstand sudden disturbances and to survive the transition to an acceptable steady state condition. During system operation, the online determination of the dynamic security level is fundamental in order to take appropriate countermeasures, with the goal of bringing the system, if necessary, to a more secure operation condition. The most important drawbacks are the lack of "easy to use" and "comprehensive" DSA tools for system operators and the speed of computation that make online DSA to be still not fully operational, particularly when complex models are required for analyzing large interconnected systems. To overcome this, a new approach for power system online DSA is presented in this paper. The proposal is based on a three-stage fuzzy inference system, which composes a fuzzy index making use of seven performance indexes herein defined. The calculation of the performance indexes is based on results obtained through full simulations of the system behavior in front of each one of the credible contingencies in a given operation state. The full simulation, the calculation of the performance indexes and the composing of the fuzzy index are made using distributed processing. The performance of the methodology herein proposed is evaluated using 115-node electric grid, and the results obtained are shown and discussed
Keywords :
fuzzy set theory; inference mechanisms; power engineering computing; power system interconnection; power system security; distributed processing; electric nodes; fuzzy index making; fuzzy inference systems; interconnected systems; online inference; operation condition security; power system online dynamic security assessment; steady state condition; Fuzzy systems; Interconnected systems; Performance analysis; Power system analysis computing; Power system dynamics; Power system interconnection; Power system modeling; Power system security; Power system simulation; Steady-state; Dynamic security assessment (DSA); full simulations; fuzzy dynamic security index (FDSI); fuzzy inference system (FIS);
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2007.895161
Filename :
4162575
Link To Document :
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