Adaptive hydrogenerator governor tuning with a genetic algorithm

Journal Article · Tue Mar 01 00:00:00 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]

---

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), Vol. 9:1; ISSN 0885-8969
• Country of Publication: United States
• Language: English

Related Subjects

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