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Title: Hydrogenerator system identification using a simple genetic algorithm

Abstract

This paper investigates an identification procedure for a hydrogenerator plant using an adaptive technique. The procedure operates on field data consisting of sampled gate position and electrical frequency. The field data was recorded while the plant was operating under various load conditions. The procedure adapted to ongoing plant changes by continuously updating the identification results. It is shown that the adaptive technique, in this case genetic algorithm based, was capable of identifying the hydrogenerator system and following plant parameter changes while the plant operated under conditions of sufficient frequency excursions. These conditions include off-line and isolated network operation where effective control is critical.

Authors:
;  [1]
  1. Univ. of Illinois, Urbana, IL (United States)
Publication Date:
OSTI Identifier:
465120
Report Number(s):
CONF-9603111-
Journal ID: ITCNE4; ISSN 0885-8969; TRN: IM9720%%335
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Energy Conversion
Additional Journal Information:
Journal Volume: 12; Journal Issue: 1; Conference: 7. biennial IEEE conference on electromagnetic field computation, Okayama (Japan), 18-21 Mar 1996; Other Information: PBD: Mar 1997
Country of Publication:
United States
Language:
English
Subject:
13 HYDRO ENERGY; HYDROELECTRIC POWER PLANTS; PROCESS CONTROL; ALGORITHMS; TRANSIENTS; CONTROL EQUIPMENT; RESPONSE FUNCTIONS; MATHEMATICAL MODELS

Citation Formats

Wrate, C A, and Wozniak, L. Hydrogenerator system identification using a simple genetic algorithm. United States: N. p., 1997. Web. doi:10.1109/60.577281.
Wrate, C A, & Wozniak, L. Hydrogenerator system identification using a simple genetic algorithm. United States. https://doi.org/10.1109/60.577281
Wrate, C A, and Wozniak, L. 1997. "Hydrogenerator system identification using a simple genetic algorithm". United States. https://doi.org/10.1109/60.577281.
@article{osti_465120,
title = {Hydrogenerator system identification using a simple genetic algorithm},
author = {Wrate, C A and Wozniak, L},
abstractNote = {This paper investigates an identification procedure for a hydrogenerator plant using an adaptive technique. The procedure operates on field data consisting of sampled gate position and electrical frequency. The field data was recorded while the plant was operating under various load conditions. The procedure adapted to ongoing plant changes by continuously updating the identification results. It is shown that the adaptive technique, in this case genetic algorithm based, was capable of identifying the hydrogenerator system and following plant parameter changes while the plant operated under conditions of sufficient frequency excursions. These conditions include off-line and isolated network operation where effective control is critical.},
doi = {10.1109/60.577281},
url = {https://www.osti.gov/biblio/465120}, journal = {IEEE Transactions on Energy Conversion},
number = 1,
volume = 12,
place = {United States},
year = {Sat Mar 01 00:00:00 EST 1997},
month = {Sat Mar 01 00:00:00 EST 1997}
}