HYBRID-TAYBERRY, SELF-HELP REGIME, ADAM’S ALE SEQUENCE, METOZA APPETITE AND BARBARY FALCON SEARCH ALGORITHM FOR REAL POWER LOSS REDUCTION IN ELECTRICAL TRANSMISSION NETWORK

Abstract

Hybrid Tayberry, Self-Help Regime, Adam’s Ale Sequence, Metoza Appetite, and Barbary Falcon Search Algorithm (HTSAMB) designed to solve the real power loss reduction problem. Key objectives are Real power loss reduction, Voltage stability enhancement, and deviation minimization. The Tayberry Algorithm is based on the propagation of the plant Tayberry and it grows rationally well in almost all types of soils and even in deep shade conditions. The Self-help Regime Optimization algorithm is designed by imitating the humanoid societal functioning. Adam’s ale Sequence procedure starts with the supposition of water flow and oceanic is selected as the premium entity. Metoza’s Appetite based search algorithm is based on actions of Metoza during starving conditions and mutual deportments. Barbary Falcon search optimization algorithm is based on the Search and stalking progression. The projected HTSAMB algorithm has been validated in IEEE 57, 354, and 220 KV systems.