Novel Chaotic Lévy Based Hybrid Frillback—Firefly Algorithm for Solving the True Power Loss Reduction in Electrical Power Transmission System
摘要
In this paper Chaotic Lévy based hybrid Frillback—Firefly (CLHFF) algorithm is applied for solving the true power loss reduction problem. CLHFF algorithm is mathematically designed based on the hovering outlines of the Frillback comprising their activities and the intellect of Frillback Swarm for competent search of food is hybridized with the cooperative performance of fireflies in their societal network. Frillback utilizes markers or previously recognized outlines to govern their way to their target. If a resemblance happens, the Frillback can discover their course of movement rapidly and hover straight to the suitable target. Huge portion of the swarm inclines to line up with the center cluster, whereas the marginal line up with the higher sub cluster. Cooperative performance of fireflies in their societal network is defined. All firefly classes display unisexuality, permitting firefly to be engrossed to other firefly irrespective of their gender. The attraction parameter is prejudiced by the range of light intensity. Chaotic Lévy based hybrid Frillback—Firefly (CLHFF) algorithm validated in 23 Benchmarking functions, IEEE 30, 354 systems and 220 kV Transmission network. True power loss obtained by CLHFF is 4.4903 (MW), Voltage deviation is 0.0101 (PU) and Voltage stability is 0.1565 (PU).