NDLI: Excitation System Parameters Estimation Using Evolutionary Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Hernandez, J.A. Botero, H.A. Ospina, J.D. Perez, J.C.
Copyright Year	2006
Description	Author affiliation: Univ. Nacional de Colombia (Hernandez, J.A.; Botero, H.A.; Ospina, J.D.; Perez, J.C.)
Abstract	A method based on evolutionary algorithms for the estimation of parameters in excitation systems is shown. Usually, for these parameters, typical values or values provided by the manufacturer are used. These values do not reflect the recent conditions of operation of the system. When estimation of parameters is confronted, this is done based on methods supported on the domain of frequency, which demand an arduous work of adjustment, also can be based on methods that force to linearize the model around an operation point and omitting certain types of non-linearities like limiters. The evolutionary method presented estimates parameters with signals in the time domain. It can use real data originated in the operation of the system, and directly executes the adjustment of the results. This evolutionary method may be applied for specific functions of the system or in the whole excitation system. It can include the non-linear properties of the system, such as the saturation in the case of an operation that reaches the limits. The evolutionary method was applied to the model of an excitation system in the hydroelectric plant of Salvajina in Colombia
Sponsorship	IEEE Power Eng. Soc
Starting Page	1
Ending Page	6
File Size	6349625
Page Count	6
File Format	PDF
ISBN	1424402875
DOI	10.1109/TDCLA.2006.311487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-15
Publisher Place	Venezuela
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Regulators excitation systems Power system control Evolutionary computation Frequency estimation Power system modeling nonlinear systems systems estimation parameters Software packages Optimal control Control system synthesis identification system Evolutionary Algorithms Nonlinear systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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