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Title: Adaptive hydrogenerator governor tuning with a genetic algorithm

Abstract

An important aspect of a good control algorithm is robustness with respect to changing plant parameters. Adaptive control strategies attempt to address the robustness issue by optimizing control parameters as changes occur in the plant. This paper investigates the genetic algorithm as one possible means of adaptively optimizing the gains of a proportional-plus-integral hydrogenerator governor. Previous work has shown that the genetic algorithm can effectively optimize the control parameters for a fixed plant. An enhanced version of the genetic algorithm, using the notions of diploidy and dominance, can be used to address the robustness issue. Here, changes in the conduit time constant as well as load constant are considered. It is shown that the genetic algorithm can effectively follow changes in the plant parameters, producing optimal control parameters in an adaptive environment.

Authors:
;  [1]
  1. (Univ. of Illinois, Urbana, IL (United States))
Publication Date:
OSTI Identifier:
7169824
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)
Additional Journal Information:
Journal Volume: 9:1; Journal ID: ISSN 0885-8969
Country of Publication:
United States
Language:
English
Subject:
13 HYDRO ENERGY; ELECTRIC GENERATORS; SPEED REGULATORS; HYDROELECTRIC POWER PLANTS; ALGORITHMS; OPTIMIZATION; PERFORMANCE; STABILITY; CONTROL EQUIPMENT; EQUIPMENT; MATHEMATICAL LOGIC; POWER PLANTS; 130700* - Hydro Energy- Power-Conversion Systems

Citation Formats

Lansberry, J.E., and Wozniak, L. Adaptive hydrogenerator governor tuning with a genetic algorithm. United States: N. p., 1994. Web. doi:10.1109/60.282490.
Lansberry, J.E., & Wozniak, L. Adaptive hydrogenerator governor tuning with a genetic algorithm. United States. doi:10.1109/60.282490.
Lansberry, J.E., and Wozniak, L. Tue . "Adaptive hydrogenerator governor tuning with a genetic algorithm". United States. doi:10.1109/60.282490.
@article{osti_7169824,
title = {Adaptive hydrogenerator governor tuning with a genetic algorithm},
author = {Lansberry, J.E. and Wozniak, L.},
abstractNote = {An important aspect of a good control algorithm is robustness with respect to changing plant parameters. Adaptive control strategies attempt to address the robustness issue by optimizing control parameters as changes occur in the plant. This paper investigates the genetic algorithm as one possible means of adaptively optimizing the gains of a proportional-plus-integral hydrogenerator governor. Previous work has shown that the genetic algorithm can effectively optimize the control parameters for a fixed plant. An enhanced version of the genetic algorithm, using the notions of diploidy and dominance, can be used to address the robustness issue. Here, changes in the conduit time constant as well as load constant are considered. It is shown that the genetic algorithm can effectively follow changes in the plant parameters, producing optimal control parameters in an adaptive environment.},
doi = {10.1109/60.282490},
journal = {IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)},
issn = {0885-8969},
number = ,
volume = 9:1,
place = {United States},
year = {1994},
month = {3}
}