Fuzzy Models for the Study of Hydro Power Plant Dynamics
- Resource Type
- Conference
- Authors
- Kishor, N.; Singh, S.P.; Raghuvanshi, A.S.; Sharma, P.R.
- Source
- 2006 International Symposium on Evolving Fuzzy Systems Evolving Fuzzy Systems, 2006 International Symposium on. :235-240 Sep, 2006
- Subject
- Computing and Processing
Power generation
Power system modeling
Fuzzy systems
H infinity control
Transfer functions
Control systems
Hydraulic turbines
Signal processing
Power system dynamics
Frequency
Fuzzy model
Hydro plant
Identification
- Language
In this paper, the hydro power plant dynamics is identified using fuzzy models. The plant data is generated from Padé and H-infinity approximated first, second, third and fourth-order rational transfer function models. The models are simulated as (i) gate-servo motor position and turbine speed with random load disturbance and (ii) gate position and developed turbine power. Takagi-Sugeno fuzzy model structures are identified with smooth stepped wave signal input and the identified model is generalized on its validation data set and with random stepped wave signal as input. The fuzzy rules are extracted from data by means of Gustafson-Kessel clustering with antecedents determined using product-space and point-wise projection techniques.