IMC and GA Based Fractional Order Controller Design for Load Frequency Control Problem
M. V. Maheswaramma1, P. Sujatha2, P. Bharath kumar3
1M. V. Maheswaramma, P.G., Department of Electrical Power System from Jawaharlal Nehru Technological University, Anantahpur, Andhra Pradesh, India.
2Dr. P. Sujatha, Professor, Department of Elecrical Engineering in JNTU college of Engineering, Ananthapur, Andhra Pradesh, India.
3P. Bharath kumar, Professor, Department of Elecrical Engineering in JNTU college of Engineering, Ananthapur, Andhra Pradesh, India.
Manuscript received on March 16, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 2322-2326 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8196038620/2020©BEIESP | DOI: 10.35940/ijrte.F8196.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes a genetic algorithm based factional order proportional integral derivative controller for load frequency control (LFC) problem. Genetic algorithm used for tuning the proposed controller. Initially the proposed controller is applied to single area power system after that it is applied to two area power system. The turbines known as non reheated and hydro turbine, and all other physical parameters of turbine, governor are validating in practical system. The simulation test in the presence of uncertainties and constraints in the plant parameters, shows improved disturbance rejection, reducing peak overshoots and settling time. Key words:
Keywords: Fractional Order Proportional Integral Derivative Controller, Genetic Algorithm, Load Frequency Control.
Scope of the Article: Problem Solving and Planning.