Gayadhar Panda and Sidhartha Panda and C. Ardil
Automatic Generation Control of MultiArea Electric Energy Systems Using Modified GA
576 - 584
2013
7
5
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/11183
https://publications.waset.org/vol/77
World Academy of Science, Engineering and Technology
A modified Genetic Algorithm (GA) based optimal selection of parameters for Automatic Generation Control (AGC) of multiarea electric energy systems is proposed in this paper. Simulations on multiarea 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 tradeoff 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 multiarea electric energy systems. Timedomain 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.
Open Science Index 77, 2013