Application of Modified Dynamic Neural Network for the Load Frequency Control of a Two Area Thermal Reheat Power System

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This paper presents the use of artificial intelligent technique to study the load frequency control of a two area reheat thermal interconnected power system. In this proposed scheme, a control methodology is developed using Modified Dynamic Neural Network (MDNN) for the design of integral controller. The control strategies found to be guarantee such that the steady state error of frequencies and inadvertent interchange of tie-line power are maintained in a given tolerance limitations.
A comparison of the output response of the system with the Proportional-Integral (PI) controller and MDNN controller based approaches shows the superiority of proposed MDNN based approach over PI controller for different loading conditions (1%and 5% step load variations). From the simulation results a comparative performance study in terms of the settling time and peak over shoot of the output response of the system has been tabulated.

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Load Frequency Control (LFC); Integral Controller; Modified Dynamic Neural Network (MDNN) Controller; Area Control Error (ACE)

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