Adaptive hydrogenerator governor tuning with a genetic algorithm

Journal Article · Tue Mar 01 04:00:00 EST 1994 · IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/60.282490· OSTI ID:7169824

Lansberry, J E; Wozniak, L ^[1]

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1. Univ. of Illinois, Urbana, IL (United States)

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.

• OSTI ID: 7169824
• Journal Information: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States) Vol. 9:1; ISSN 0885-8969; ISSN ITCNE4
• Country of Publication: United States
• Language: English

Related Subjects

13 HYDRO ENERGY
130700* -- Hydro Energy-- Power-Conversion Systems
ALGORITHMS
CONTROL EQUIPMENT
ELECTRIC GENERATORS
EQUIPMENT
HYDROELECTRIC POWER PLANTS
MATHEMATICAL LOGIC
OPTIMIZATION
PERFORMANCE
POWER PLANTS
SPEED REGULATORS
STABILITY