Implementation of Crow Search Algorithm based two degree of freedom
combined fractional order PID controller for AGC of hydro-thermal power
system with wind and small hydro power plants
Abstract
The unceasing efforts to design an optimal controller for automatic
generation control (AGC) in power systems motivate the design of a novel
Two-Degree-of-Freedom-Combined Fractional Order PID (2-DOF-Combined
FOPID) controller. Two-area interconnected power systems comprised of
reheated thermal and hydro units with boiler dynamics, generator rate
constraints and dead zone non-linearity in each area are tested using
the designed controller. The performance of the proposed controller is
studied with the conventional PID controller, the classical
Two-Degree-of-Freedom PID (2-DOF-PID) controller, and the Two
Degree-of-Freedom Fractional Order PID controller (2DOF FOPID). The
elemental intension of designing supplementary controllers is to
diminish the area of control error (ACE). The Crow search algorithm
(CSA) is chosen to determine the optimal values of controller gain
parameters in order to curtail the figure of demerit. The dynamic
behavior of the system is investigated pertaining to a 0.01 p.u. load
disturbance in area 1. The performance of the designed controller is
explored using wind integration and an CSA optimized small hydro power
plant. Investigations reveal that the transient response is superior
using the 2-DOF-Combined FOPID concerning the stability indices viz.
overshoot (Osh), undershoot (Ush), and settling time response of the
power system.