Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy

Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy

Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy

 

Abstract:

In this study, a multi-objective predictive control strategy is presented for the stability improvement of a power system
in the presence of wind farms and STATCOM. The main contribution of this study is in the multi-objective consideration for
controlling the active and reactive powers of the rotor-side converter in each of the induction generators, controlling the voltage
of the synchronous generators’ excitation system, and designing the damping controller of STATCOM using the predictive
strategy. To reduce the computational burden, and to accurately choose the input paths into the predictive control, the Laguerre
functions are used. Also, for reducing the sampling time in the selection of large prediction horizons, the exponential data
weighting has been employed. The simulation results were evaluated using MATLAB software in the field of time and frequency
under different scenarios. Moreover, the obtained results of each domain are compared using the two techniques of the
predictive strategy, i.e. the classic model, Laguerre functions, and also the conventional proportional integral controller. The
comparison of these three methods reveals that the functional predictive control outfits the two other controllers in damping of
the oscillations

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