Abstract
Self-excited induction generators are mostly preferred in isolated areas to feed three-phase squirrel-cage induction motors for agricultural purposes to pump water. When the induction motor is connected to the self-excited induction generator without any voltage and frequency controller, it causes severe transients in the electrical and mechanical variables of the generator. Due to the large starting current requirement of the induction motor, there is a collapse of the terminal voltage of the generator; thus, the self-excited induction generator requires a voltage and frequency controller to run an induction motor safely in remote and isolated areas. This article presents a voltage and frequency control scheme for the self-excited induction generator to run an induction motor using a generalized impedance controller. The novelty of this work is to estimate the peak terminal voltage and frequency of the self-excited induction generator using Hilbert transform and the Coordinate Rotation Digital Computeralgorithm. The proposed scheme requires only one voltage sensor, and its output voltage is processed to estimate peak voltage and control the modulation index of the generalized impedance controller to control the self-excited induction generator voltage and frequency and run the induction motor without causing any disturbance.
NOMENCLATURE
ρ | = | specific density of air (kg/m3) |
r | = | radius of wind turbine (m) |
πr2 | = | swept area of blades |
CP | = | performance coefficient of wind turbine |
vω | = | wind velocity (m/s) |
ωT | = | rotational speed of wind turbine |
ωTr | = | linear speed at tip of wind turbine blade |
d, q | = | direct and quadrature axes |
s, r | = | stator and rotor variables |
l | = | leakage component |
v, i | = | instantaneous voltage and current |
im, Lm | = | magnetizing current and magnetizing inductance |
r, L | = | resistance and inductance |
ωr | = | electrical rotor speed of self-excited induction generator |
Tdrive, Te | = | mechanical input torque and electromagnetic torque of self-excited induction generator |
J, P | = | moment of inertia and number of poles of the self-excited induction generator |
ied, ieq | = | current through excitation capacitor in d- and q-axes |
C | = | excitation capacitor value |
vmm | = | input voltage of induction motor load |
Temm | = | electromagnetic torque of induction motor |
TLm | = | load torque of induction motor |
Jmm | = | moment of inertia of induction motor |
PM | = | number of poles of induction motor |
ωrmm | = | mechanical speed of induction motor |
Additional information
Notes on contributors
Jyotirmayee Dalei
Jyotirmayee Dalei received her B.Tech. and M.Tech. from University College of Engineering Burla (presently Veer Surendra Sai University of Technology), Odisha, India, in 2001 and 2004, respectively. She became an assistant professor at Roland Institute of Technology, Berhampur, Odisha, in 2004. She has been pursuing her Ph.D at the National Institute of Technology, Rourkela, India, since 2011. She is a life member of the Indian Society for Technical Education. Her research areas of interest are wind energy systems and embedded controllers for power electronic drives.
Kanungo Barada Mohanty
Kanungo Barada Mohanty received his B.E. from University College of Engineering Burla (presently Veer Surendra Sai University of Technology), Odisha, India, and his M.Tech. and Ph.D. from Indian Institute of Technology (IIT) Kharagpur in 1989, 1991, and 2002, respectively. He is a faculty member of the Electrical Engineering Department, National Institute of Technology, Rourkela, India, since 1991 and is currently serving as an associate professor. He is a senior member of the IEEE, fellow of the Institute of Engineers (IE) India, and fellow of Institution of Electronics and Telecommunication Engineers (IETE). His research interest includes wind and solar energy systems, vector-controlled and torque-controlled IMs and induction generators, and applications of soft-computing techniques and power quality.