Load frequency control of A single area power system based EWOA Technique | ||||
| Aswan University Journal of Sciences and Technology | ||||
| Volume 2, Issue 1, June 2022, Page 1-10 PDF (573.68 K) | ||||
| Document Type: Original papers | ||||
| DOI: 10.21608/aujst.2022.259884 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
ÙŒReham M Khairy  ; Tarek Mohamed
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| Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, 81528, Aswan, Egypt | ||||
| Abstract | ||||
| One of the appropriate tools for addressing the load frequency control Problems is an Enhanced Whale Optimization Algorithm (EWOA). EWOA is a modern optimization algorithm quoted from nature that attempts to mimic and replicate the social behavior of humpback whales. The algorithm is based on the schedule of the bubble net. Bubbles commonly shape "9 tracks" through the whale that surrounds the victim during the fishery. Generally, it swims 10 to 16 meters under the sea. The bubbles are then artificially formed in spiral form by surrounding the victim and moving up to sea level to collect them. Matlab/Simulink was used to perform a numerical simulation. The numerical findings prove that the methodology employed provides a powerful and perfect frequency response as compared with the system using the method of checking constant parameters in case of incremental load changes and random load changes. | ||||
| Keywords | ||||
| Load frequency control; optimization technique; EWOA Technique; single area system; Optimization | ||||
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