An Elite LOA-TFWO Approach for Load-Frequency Control of Islanded Micro-Grids Incorporating Renewable Sources

An Elite LOA-TFWO Approach for Load-Frequency Control of Islanded Micro-Grids Incorporating Renewable Sources
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© 2022 by IJETT Journal
Volume-70 Issue-10
Year of Publication : 2022
Authors : V. Devaraj, M. Kumaresan
DOI : 10.14445/22315381/IJETT-V70I10P217

How to Cite?

V. Devaraj, M. Kumaresan, "An Elite LOA-TFWO Approach for Load-Frequency Control of Islanded Micro-Grids Incorporating Renewable Sources," International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 166-187, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I10P217

Abstract
In this paper proposes an intelligent hybrid approach for load-frequency control (LFC) in the islanded micro-grids incorporating various resources like Photovoltaic (PV), Wind Turbine (WT), fuel Cell (FC), Diesel Engine Generator (DEG) and Battery Energy Storage System (BESS). The proposed hybrid approach is the combined implementation of the Lichtenberg Optimization Algorithm (LOA) and Turbulent Flow of Water-based Optimization (TFWO); hence it is named as LOA-TFWO approach. The major objective of the proposed approach is minimizing the change of frequency and maintaining the system's stability. The PID controller is utilized to tune the parameter of the system. With the finite time, the proposed LOA approach generates the data set and the TFWO approach process the outcome of LOA and provides optimal outcome. The proposed approach is executed in the MATLAB/Simulink working platform, and the performances are compared with various existing approaches. Maximum overshoot, steady state error, maximum settling time, integral of frequency error’s absolute value in the simulation period, and the objective function is analyzed and compared in the paper. The comparison results reveal that the proposed technique is optimal over the other techniques.

Keywords
Load-frequency control, PID controller, Change of frequency, Stability, Lichtenberg optimization algorithm, Turbulent flow of water-based optimization.

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