Hybridized Stone Helix - Hippocampus Erectus Algorithm for Genuine Power Loss Diminution and Voltage Stability Enrichment
In this paper, Hybridized Stone Helix - Hippocampus Erectus optimization algorithm (HSH) algorithm is designed. Projected algorithm applied for power loss diminution and voltage stability enrichment. In primary phase of HSH algorithm, the helix course reconnoiters a comprehensive exploration space and it unremittingly congregates with a minor radius and gaunt translation provided that vibrant phase scope while approaching the concluding point. A point in the exploration space with tall cost task or short appropriateness rate designates that the position of the point is not virtuous. In the movement performance, the tail of the Hippocampus erectus sporadically stoles round the stem of the algae and the passage in the helix since, stems of the algae are undergoing helix moving alterations round the roots due to the act of nautical waterspouts. Simulation results demonstrate the better performance of the proposed HSH algorithm in loss diminution and enhancement of voltage stability.
Authors
- K. Lenin
Institutions
- Siddhartha Medical College (IN)
Publication Details
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1109/reepe63962.2025.10970759
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00