DocumentCode
1927534
Title
Fuzzy inference system controller for hydro turbine-generator system
Author
Culberg, Jonathan ; Negnevitsky, Michael ; Muttaqi, Kashem Mohammad
Author_Institution
Centre for Renewable Energy & Power Syst., Univ. of Tasmania, Hobart, TAS
fYear
2007
fDate
9-12 Dec. 2007
Firstpage
1
Lastpage
6
Abstract
With the entry of Tasmania into the national electricity market, equipment upgrades are required in many parts of the existing power system. This presents an opportunity to embrace new technology, in order to enhance the current efficiency and productivity of the system. One area is that of hydro-turbine speed governors, an integral part of maintaining the frequency of the output. At the present moment in time, the replacement of choice for many power companies is a Proportional-Integral-Derivative (PID) controller. PID controllers are not without their limitations, however. For example, they lack the ability to adjust to change over time. An alternative control system is the Fuzzy Inference System (FIS). This paper demonstrates how a FIS controller can be used as a Hydro-Turbine governor, regulating the frequency of the generated current. A FIS controller was developed for an existing system to evaluate a Fuzzy Logic approach against a PID controller at all levels, not only in terms of performance but also in terms of the ease of development, tuning and operation.
Keywords
fuzzy control; hydroelectric generators; machine control; power markets; three-term control; turbogenerators; PID controllers; Tasmania; electricity market; fuzzy inference system controller; fuzzy logic approach; hydro turbine-generator system; power system; proportional-integral-derivative controller; Control systems; Electricity supply industry; Frequency; Fuzzy control; Fuzzy systems; Pi control; Power systems; Productivity; Proportional control; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities
Conference_Location
Perth, WA
Print_ISBN
978-0-646-49488-3
Electronic_ISBN
978-0-646-49499-1
Type
conf
DOI
10.1109/AUPEC.2007.4548106
Filename
4548106
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