Optimal hydrogenerator governor tuning with a genetic algorithm

Journal Article · Tue Dec 01 04:00:00 EST 1992 · IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/60.182643· OSTI ID:7047241

Lansberry, J E ^[1]; Wozniak, L; Goldberg, D E ^[2]

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1. Illinois Univ., Urbana, IL (United States). Dept. of Electrical and Computer Engineering
2. Illinois Univ., Urbana, IL (United States). Dept. of General Engineering

Many techniques exist for developing optimal controllers. This paper investigates genetic algorithms as a means of finding optimal solutions over a parameter space. In particular, the genetic algorithm is applied to optimal tuning of a governor for a hydrogenerator plant. Analog and digital simulation methods are compared for use in conjunction with the genetic algorithm optimization process. It is shown that analog plant simulation provides advantages in speed over digital plant simulation. This speed advantage makes application of the genetic algorithm in an actual plant environment feasible. Furthermore, the genetic algorithm is shown to possess the ability to reject plant noise and other system anomalies in its search for optimizing solutions.

• OSTI ID: 7047241
• 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. 7:4; ISSN 0885-8969; ISSN ITCNE4
• Country of Publication: United States
• Language: English

Related Subjects

13 HYDRO ENERGY
130300 -- Hydro Energy-- Plant Design & Operation
130600* -- Hydro Energy-- Environmental Aspects
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
COMPUTERIZED SIMULATION
ENVIRONMENTAL IMPACTS
FEASIBILITY STUDIES
HYDROELECTRIC POWER PLANTS
MATHEMATICAL LOGIC
NOISE POLLUTION
OPTIMIZATION
POLLUTION
POWER PLANTS
SIMULATION