NDLI: Static load model adjustment using fuzzy logic and differential evolution

Content Provider	IEEE Xplore Digital Library
Author	Gaspar, W.A. de Oliveira, E.J. Garcia, P.A.N. do Amaral, M.B.
Copyright Year	2012
Description	Author affiliation: Faculty of Electrical Engineering, Federal University of Juiz de Fora, MG - Brazil (de Oliveira, E.J.; Garcia, P.A.N.) \|\| CEMIG, Centrais Elétricas de Minas Gerais, Belo Horizonte, Brazil (do Amaral, M.B.) \|\| Electrical Engineering Postgraduate Program, Federal University of Juiz de Fora, MG - Brazil (Gaspar, W.A.)
Abstract	This paper discusses the use of a hybrid system in the field of Computational Intelligence in order to refine the measurement dataset used for determination of the parameters for static load models in Electric Power Systems (EPS). The objective is reducing the effects of natural fluctuation observed in measurement dataset resulting from random loading aggregation and disaggregation on the system under study. Specifically, it is used a fuzzy logic system for processing the filtering of measurement data obtained in the field. It is also important to note that the used approach makes the adjustment of the membership functions of a fuzzy linguistic variables using a meta heuristic called differential evolution. As a result, it is possible to get parameters both for ZIP and Exponential models with mean errors lower than those obtained with raw measurement dataset. The validation of this proposal uses measures that have been made at a CEMIG utility substation in Minas Gerais state, Brazil.
Starting Page	1
Ending Page	6
File Size	718020
Page Count	6
File Format	PDF
ISBN	9781467324120
e-ISBN	9781467324113
DOI	10.1109/INDUSCON.2012.6451415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-05
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Voltage measurement Power measurement Mathematical model Optimization Load modeling Pragmatics
Content Type	Text
Resource Type	Article

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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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