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Optimization of Automatic voltage regulator using Moth Flame optimization algorithm
Ajay Dixit,  Mahesh Lokhande,  Pragati joshi
—The various optimization techniques are in use for optimization of electrical system before its installation in the field. Due to various parameter dependencies some time it is difficult to use the conventional methods for the optimization of the system. The evolutionary algorithm becomes the solution for multi parameter and multi objective case of optimization. The most popular evolution algorithms are genetic algorithm, particle swarm optimization, big bang big crunch algorithm, ant colony optimization. Etc. In this paper, the use of moth flame algorithm is described for the optimization of the PID controller of automatic voltage regular. The PID coefficients are initially chosen randomly and within little iteration this method of optimization reaches to the better solution. The integral of error signal and maximum error are considered for the fitness function for optimization.
Keywords- MFO, GA, PSO, optimization, AVR etc
Unique Identification Number - IJEDR1604056Page Number(s) - 367-371Pubished in - Volume 4 | Issue 4 | November 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Ajay Dixit,  Mahesh Lokhande,  Pragati joshi,   "Optimization of Automatic voltage regulator using Moth Flame optimization algorithm"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.367-371, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604056.pdf