Published Paper Details:

It is quite challenging to obtain the optimal load frequency control (LFC) of a complete system with the emergent trends of power system. Restructured power system involve multi sources and multi stakeholders therefore traditional LFC methods are not effective and efficient. The main objective of LFC in deregulated system is to restore the frequency to its nominal value as quickly as possible and minimize tie-line power flow oscillations between neighboring control areas and also monitoring the load matching contracts. Parameters of PID controller are required to be optimized in order to achieve the objectives of LFC. This paper presents a load frequency control of two-area deregulated power system using genetic algorithm taking a suitable objective function that are to minimize the frequency deviations of both the areas and to maintain tie line power exchange according to contractual conditions. A controller is designed for each area to achieve the objectives of LFC. Response of the power system simulated under MATLAB/Simulink obtained and results confirm that the controllers designed using genetic algorithm with suitable objective function are capable of keeping the frequency deviation in the specified range and maintain the tie line power exchange as per the contractual conditions. A comparative analysis of load frequency control using integral controller and GA based controller is also presented.