Power and frequency control of a wind energy power system using artificial bee colony algorithm

The intermittent wind speed and load demand lead to fluctuation in system frequency (f) and power (P), which may cause serious problems for wind energy power system (WEPS). An energy storage device can be used to compensate for these disturbances. In addition, a damping controller can be employed to reduce oscillation associated with f and P. In the present work, superconducting magnetic energy storage (SMES) with power system stabilizer (PSS) is connected to the WEPS to control the fluctuation in f and P. A recently developed swarm intelligence technique, i.e., artificial bee colony (ABC) algorithm based proportional-integral-derivative (PID) controller is also used along with SMES and PSS to overcome the associated problem in WEPS. The control parameters of SMES, PSS and PID controller have been optimized by the ABC algorithm. Effectiveness of the WEPS model has been evaluated under various disturbances. The simulation results show minimum f and P deviations can be obtained by the proposed ABC based PID controller along with PSS and SMES.