Load frequency control plays a vital
role in power system operation and control. LFC regulates the frequency of
larger interconnected power systems and keeps the net interchange of power
between the pool members at predetermined values for the corresponding changes
in load demand. In this paper, the two-area, hydrothermal deregulated power
system is considered with Redox Flow Batteries (RFB) in both the areas. RFB is
an energy storage device, which converts electrical energy into chemical
energy, that is used to meet the sudden requirement of real power load and
hence very effective in reducing the peak shoots. With conventional
proportional-integral (PI) controller, it is difficult to get the optimum
solution. Hence, intelligent techniques are used to tune the PI controller of
the LFC to improve the dynamic response. In the family of intelligent
techniques, a recent nature inspired algorithm called the Flower Pollination
Algorithm (FPA) gives the global minima solution. The optimal value of the
controller is determined by minimizing the ISE. The results show that the
proposed FPA tuned PI controller improves the dynamic response of the
deregulated system faster than the PI controller for different cases. The
simulation is implemented in MATLAB environment.
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