Siddharth A. Parmar

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Abstract: In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization algorithm ant lion optimizer (ALO). ALO is inspired by the hunting process of ant-lions in the natural environment. ALO has a fast convergence rate due to the use of roulette wheel selection(More)
In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel metaheuristic optimization algorithm Moth-Flame Optimizer (MFO). The MFO is inspired by the navigation strategy of moths in universe. MFO has a fast convergence rate due to the use of roulette wheel selection method. For the OPF(More)
In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization technique Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts in cosmology: white hole, black hole, and wormhole. MVO has a fast convergence rate. In order to(More)
4 ICCPCT 120 V Kannan, P Balakrishnan and T B Isha A Comparative Study On Different Control Techniques On Bridgeless Interleaved Ac-Dc Converter For Power Factor Correction 5 ICCPCT 121 S. Jeeva, N. Rathina Prabha and R. Bhavani PEMFC supported dynamic voltage restorer for power quality enhancement 6 ICCPCT 134 Arya Vishnuram and Haneesh K M Voltage(More)
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