Feedforward Frequency Control of Interconnected Power System Using Artificial Hummingbird Algorithm

This work introduces a feed forward controller for load frequency regulation in multi-area interconnected power system in order to overcome the sluggish performance of feedback control methods. In case of the feedback control approach, the control action is taken after disturbances occur, whereas in the feed forward control approach, the control action is taken before disturbances occurred in the output. Initially, a two-area interconnected power system with thermal generators is simulated with conventional controllers and the performances are compared with the proposed feed forward controller. The system's performances are also compared by tuning the controller with different popular optimization techniques and the recent artificial hummingbird algorithm. The superior optimization algorithm is applied to tune the proposed controller sensitivity analysis, and the responses were reported to be satisfactory.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/odicon62106.2024.10797488
Primary Topic
Frequency Control in Power Systems
Type
article
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article

Feedforward Frequency Control of Interconnected Power System Using Artificial Hummingbird Algorithm

Binod Kumar Sahu, Debasis Tripathy, Amar Kumar Barik
Frequency Control in Power Systems
article

Feedforward Frequency Control of Interconnected Power System Using Artificial Hummingbird Algorithm

Binod Kumar Sahu, Debasis Tripathy, Amar Kumar Barik
article en

Abstract

This work introduces a feed forward controller for load frequency regulation in multi-area interconnected power system in order to overcome the sluggish performance of feedback control methods. In case of the feedback control approach, the control action is taken after disturbances occur, whereas in the feed forward control approach, the control action is taken before disturbances occurred in the output. Initially, a two-area interconnected power system with thermal generators is simulated with conventional controllers and the performances are compared with the proposed feed forward controller. The system's performances are also compared by tuning the controller with different popular optimization techniques and the recent artificial hummingbird algorithm. The superior optimization algorithm is applied to tune the proposed controller sensitivity analysis, and the responses were reported to be satisfactory.

Nirma University (IN), Siksha O Anusandhan University (IN), Sandip Foundation (IN)
Affordable and clean energy
Openalex Percentile: Top 78%
Frequency Control in Power Systems
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