T
T. Raghunathan
Researcher at VIT University
Publications - 15
Citations - 1419
T. Raghunathan is an academic researcher from VIT University. The author has contributed to research in topics: Economic dispatch & Metaheuristic. The author has an hindex of 11, co-authored 13 publications receiving 1063 citations. Previous affiliations of T. Raghunathan include Indian Institute of Science.
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Economic dispatch using hybrid grey wolf optimizer
TL;DR: Comparisons show that the hybrid grey wolf optimizer used in this paper either matches or outperforms the other methods.
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Economic dispatch using chaotic bat algorithm
TL;DR: A new metaheuristic optimization algorithm, the chaotic bat algorithm, is presented for solving the economic dispatch problem involving a number of equality and inequality constraints such as power balance, prohibited operating zones and ramp rate limits.
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Particle swarm optimization for various types of economic dispatch problems
TL;DR: In this article, a successful adaptation of the particle swarm optimisation (PSO) algorithm to solve various types of economic dispatch (ED) problems in power systems such as, multi-area ED with tie line limits, ED with multiple fuel options, combined environmental economic dispatch, and the ED of generators with prohibited operating zones.
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Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer
TL;DR: This paper proposes a solution to this non-convex, discrete problem by using the hybrid grey wolf optimizer, a new metaheuristic algorithm, applied to IEEE 33-, IEEE 69-, and Indian 85-bus radial distribution systems to minimize the power loss.
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Evolutionary programming techniques for different kinds of economic dispatch problems
TL;DR: In this article, the performance of different evolutionary programming (EP) techniques for all kinds of economic dispatch (ED) problems is explored. And the simulation results are compared and discussed to show the relative performances of different EP techniques.