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V. Ravikumar Pandi

Researcher at Amrita Vishwa Vidyapeetham

Publications -  55
Citations -  2015

V. Ravikumar Pandi is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Distributed generation & Particle swarm optimization. The author has an hindex of 19, co-authored 55 publications receiving 1767 citations. Previous affiliations of V. Ravikumar Pandi include Indian Institute of Technology Delhi & Masdar Institute of Science and Technology.

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Adaptive particle swarm optimization approach for static and dynamic economic load dispatch

TL;DR: In this article, a novel heuristic optimization approach to constrained economic load dispatch (ELD) problems using the adaptive variable population (PSO) technique is presented, which easily takes care of different constraints like transmission losses, dynamic operation constraints (ramp rate limits) and prohibited operating zones and also accounts for non-smoothness of cost functions arising due to the use of multiple fuels.
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Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch

TL;DR: In this paper, a novel stochastic optimisation approach to solve constrained economic load dispatch problem using hybrid bacterial foraging (BF) technique is presented, in order to explore the search space for finding the local minima of the current location, the simplex algorithm called nelder-mead is used along with BF algorithm.
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Determining Optimal Location and Size of Distributed Generation Resources Considering Harmonic and Protection Coordination Limits

TL;DR: In this article, a new optimization problem is proposed to determine the maximum distributed generation (DG) penetration level by optimally selecting types, locations and sizes of utility owned DG units.
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Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm

TL;DR: The hybrid harmony search algorithm with swarm intelligence (HHS) to solve the dynamic economic load dispatch problem and affirmed the robustness and proficiency of the proposed methodology over other existing techniques.
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A Protection Coordination Index for Evaluating Distributed Generation Impacts on Protection for Meshed Distribution Systems

TL;DR: A new index is proposed, “protection coordination index” (PCI), which can serve as an effective measure when planning the protection of meshed distribution systems with DG, by optimally calculating variations in the maximum DG penetration level with changes in the protection coordination time interval.