Falcon Optimization Algorithm based Regulator for the Study of Automatic Load Frequency Control
In this paper, an initiative attempt has been made to optimize the traditional controller PID with a population based searching approach of falcon optimization algorithm (FDA) for load frequency control (LFC) analysis. Analysis of the power system is performed by laying area-l with a disturbance of...
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Published in: | 2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4) pp. 1 - 6 |
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Main Authors: | , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
15-12-2022
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Subjects: | |
Online Access: | Get full text |
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Summary: | In this paper, an initiative attempt has been made to optimize the traditional controller PID with a population based searching approach of falcon optimization algorithm (FDA) for load frequency control (LFC) analysis. Analysis of the power system is performed by laying area-l with a disturbance of 1 % step load. However, PID regulator parameters are tuned subjected to the function of integral square error (ISE). Moreover, the supremacy of presented FOA tuned PID is deliberated with other soft computing controllers reported in early literature. Later, to boost up the system performance further DC line is incorporated with AC line in parallel to facilitate the transfer of bulk power during large disturbances. |
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DOI: | 10.1109/C2I456876.2022.10051440 |