P
Partha Kayal
Researcher at Future Institute of Engineering and Management
Publications - 35
Citations - 660
Partha Kayal is an academic researcher from Future Institute of Engineering and Management. The author has contributed to research in topics: Computer science & Distributed generation. The author has an hindex of 8, co-authored 19 publications receiving 476 citations. Previous affiliations of Partha Kayal include Indian Institute of Engineering Science and Technology, Shibpur.
Papers
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Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement
TL;DR: In this article, a new constrained multi-objective Particle Swarm Optimization (PSO) based wind Turbine Generation Unit (WTGU) and photovoltaic (PV) array placement approach for power loss reduction and voltage stability improvement of radial distribution system is proposed.
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Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network
TL;DR: In this article, a simple but efficient approach has been proposed for optimal placement and sizing of solar and wind DGs in distribution territory by considering electrical network power loss minimization, voltage stability and network security improvement.
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Strategic approach for reinforcement of intermittent renewable energy sources and capacitor bank for sustainable electric power distribution system
TL;DR: In this article, a comprehensive planning model is presented to determine location and required installation capacity of multiple PV array, WT and capacitor units in an electric power distribution network under heavy load growth situation.
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An analytical approach for allocation and sizing of distributed generations in radial distribution network
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A simple and fast approach for allocation and size evaluation of distributed generation
TL;DR: In this paper, a simple and fast technique to determine appropriate location and size of distributed generation (DG) units in distribution network has been demonstrated, where vulnerable buses of the network are arranged rank-wise to form a priority list for allocation of DG units.