NDLI: Evolutionary programming based optimization technique for maximum loadability estimation in electric power system

Content Provider	IEEE Xplore Digital Library
Author	Musirin, I. Rahman, T.K.A.
Copyright Year	2003
Description	Author affiliation: Fac. of Electr. Eng., Univ. Teknologi MARA, Malaysia (Musirin, I.; Rahman, T.K.A.)
Abstract	Maximum loadability is an important property to determine the point of voltage collapse in a power system. This can be done by conducting the voltage stability analysis (VSA) considering the variation in reactive power loading until a point closed the voltage stability limit is met. Nevertheless, the VSA technique is time consuming since gradual increase in reactive power loading has to be conducted with empirical process. This paper presents the evolutionary programming (EP) based optimization technique for estimating maximum loadability in electric power system. A predeveloped line-based voltage stability index was utilized as the fitness in the objective function, which has to be maximized for estimating the maximum loadability. Tests were conducted on IEEE Reliability Test System (RTS) and comparative studies were performed by comparing the results obtained from the VSA technique. Results from the study revealed that the proposed EP technique outperformed the VSA technique in terms of computation time, robustness and accuracy.
Starting Page	205
Ending Page	210
File Size	1349447
Page Count	6
File Format	PDF
ISBN	0780382080
DOI	10.1109/PECON.2003.1437444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-15
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic programming Voltage Power system stability Stability analysis Reactive power System testing Power system analysis computing Power system reliability Performance evaluation Robustness
Content Type	Text
Resource Type	Article

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