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Comparison of AGC Characteristics by using PI Controllers and Improved Bacteria Foraging Optimization Algorithm
Naresh Kumar,  Shri M. G. Soni
Simulteneous optimization of parameters like Ki, Ri and Bi has been done which grants not only the best dynamic response for the system but also permits us to use larger values of Ri than put into practice. The performance of IBFOA is investigated through the convergence characteristics and have been compared with the Pi controllers. The IBFOA is relatively faster in optimization such that there is drop in the computational load and also minimum use of computer resources. The IBFOA provides better stability as compared to PI controllers.
Keywords- (IBFOA-Improved Bacteria Foraging Optimization Algorithm, AGC-Automatic Generation control, ALFC- Automatic Load Frequency Control)
Unique Identification Number - IJEDR2001025Page Number(s) - 131-137Pubished in - Volume 8 | Issue 1 | January 2020DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Naresh Kumar,  Shri M. G. Soni,   "Comparison of AGC Characteristics by using PI Controllers and Improved Bacteria Foraging Optimization Algorithm"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.131-137, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001025.pdf