TY - JFULL AU - Gayadhar Panda and Sidhartha Panda and C. Ardil PY - 2013/6/ TI - Automatic Generation Control of Multi-Area Electric Energy Systems Using Modified GA T2 - International Journal of Electrical and Computer Engineering SP - 575 EP - 584 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/11183 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 77, 2013 N2 - A modified Genetic Algorithm (GA) based optimal selection of parameters for Automatic Generation Control (AGC) of multi-area electric energy systems is proposed in this paper. Simulations on multi-area reheat thermal system with and without consideration of nonlinearity like governor dead band followed by 1% step load perturbation is performed to exemplify the optimum parameter search. In this proposed method, a modified Genetic Algorithm is proposed where one point crossover with modification is employed. Positional dependency in respect of crossing site helps to maintain diversity of search point as well as exploitation of already known optimum value. This makes a trade-off between exploration and exploitation of search space to find global optimum in less number of generations. The proposed GA along with decomposition technique as developed has been used to obtain the optimum megawatt frequency control of multi-area electric energy systems. Time-domain simulations are conducted with trapezoidal integration along with decomposition technique. The superiority of the proposed method over existing one is verified from simulations and comparisons. ER -