A
Akshay Kumar Saha
Researcher at University of KwaZulu-Natal
Publications - 122
Citations - 991
Akshay Kumar Saha is an academic researcher from University of KwaZulu-Natal. The author has contributed to research in topics: Computer science & Photovoltaic system. The author has an hindex of 10, co-authored 97 publications receiving 619 citations. Previous affiliations of Akshay Kumar Saha include Jadavpur University & University of Ibadan.
Papers
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Modelling, simulation and performance analysis of a PV array in an embedded environment
TL;DR: In this article, the authors present the modeling and MATLAB simulation of a stand-alone polycrystalline PV Array system and investigate load following performance efficiency under various loading and weather conditions as well as suitability with regard to enhancing power supply reliability to critical loads.
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Modeling and Performance Analysis of a Microturbine as a Distributed Energy Resource
TL;DR: In this paper, the authors present modeling, simulation, and analysis of load following behavior of a microturbine (MT) as a distributed energy resource (DER), which consists of the MT coupled to a synchronous generator.
Proceedings Article
Microgrid: Control techniques and modeling
TL;DR: In this paper, the authors present a discussion on the control techniques required for microgrid operation and implements a simple control strategy in a microgrid model realized with Matlab The modeling and control strategy are kept elementary This is done in order to use developed model for teaching and student training purpose for power system curriculum in undergraduate courses.
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A Comprehensive Review of Advanced Traction Motor Control Techniques Suitable for Electric Vehicle Applications
TL;DR: In this article, a review of the control techniques applied to the traction motor system in electric vehicles is presented, where various improvements have been made to conventional direct torque control and indirect field oriented control schemes, in order to reduce ripple and improve parameter insensitivity.
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Transformer risk modelling by stochastic augmentation of reliability-centred maintenance
TL;DR: In this paper, a risk assessment model that augments the probabilistic capabilities of Reliability-centred maintenance (RCM) is proposed to assess the effectiveness of the RCM at its inception, when data is inadequate or when it is implemented on a large population of assets, especially when most of them are small in size as in the distribution systems.