Title :
A Spatio-Temporal Framework for Spectral Analysis and Control of Interarea Oscillations in Wind-Integrated Power Systems
Author :
Gayme, Dennice F. ; Chakrabortty, Aranya
Author_Institution :
Dept. of Mech. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
This brief presents an analytical method to study the effects of wind farm location on the interarea oscillation spectrum of large radial power systems along with a means to shape this spectrum. We consider a continuum representation of the electromechanical swing equations for the power system with the wind power injection modeled as a spatial point source forcing applied at a certain electrical distance from one end of the transfer path. The resulting forced hyperbolic wave equation for the rotor phase angle is used to derive an analytical expression for the spectrum of the power flow as a function of the wind power injection location. A simulation study shows that judicious siting of the wind farm can provide effective damping to a particular set of modes. Finally, we show how the analysis framework can be extended to provide a means of shaping the interarea oscillation spectrum for a grid with a wind farm at an arbitrary location using a simple optimal control design for the wind power output.
Keywords :
control system synthesis; optimal control; power grids; power system control; rotors; wind power plants; continuum representation; electrical distance; electromechanical swing equations; forced hyperbolic wave equation; grid; interarea oscillation control; interarea oscillation spectrum; optimal control design; radial power systems; rotor phase angle; spatial point source forcing; spatio-temporal framework; spectral analysis; wind farm location; wind power injection location; wind power output; wind-integrated power systems; Generators; Oscillators; Power system stability; Wind farms; Wind power generation; Wind turbines; Continuum models; control design; distributed parameter model; parametric optimization; power system dynamics; power system stability; wind farms; wind farms.;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2013.2278977