Author
N. Ramesh Babu
Other affiliations: M. Kumarasamy College of Engineering
Bio: N. Ramesh Babu is an academic researcher from VIT University. The author has contributed to research in topics: Maximum power point tracking & Boost converter. The author has an hindex of 13, co-authored 36 publications receiving 856 citations. Previous affiliations of N. Ramesh Babu include M. Kumarasamy College of Engineering.
Papers
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TL;DR: In this paper, a comprehensive review on various maximum power point tracking (MPPT) algorithms based on Perturb and Observe, Incremental Conductance, Soft Computing and other techniques along with the real-time hardware implementation of photovoltaic (PV) system is provided.
Abstract: This paper provides a comprehensive review on various maximum power point tracking (MPPT) algorithms based on Perturb and Observe, Incremental Conductance, Soft Computing and other techniques along with the real time hardware implementation of photovoltaic (PV) system. In this review, the complete procedure, the implementation methodology and their effects in the PV output were discussed in detail for each algorithm. Further, MPPT algorithms for PV systems with partial shading condition were reviewed and reported. This paper is intended to serve as a suitable reference for future work in PV based power generation and its related research.
244 citations
TL;DR: In this article, a comprehensive review of overall control strategies for wind energy conversion control is presented, which is intended to provide a suitable reference for further research in the field of wind energy.
Abstract: Renewable energy technique is gaining more interest due to increasing demand and threat zero carbon foot prints. The energy from wind has a high potential as a source of energy. The growing demand of wind energy tends to produce a quality output power in terms of grid integration. An appropriate controller is required to control the power produce by the wind energy. A decent number of research publications reports had reviewed maximum power point tracking (MPPT), grid side controller (GSC) and machine side controller (MSC) associated with wind energy conversion system (WECS). However survey on pitch angle based control has not been focused exclusively in any such reviews. A concise review of pitch angle controller, maximum power extraction control and grid synchronisation controller is analysed in this paper. Thus, this paper presents a comprehensive review of overall control strategies for wind energy conversion control. The review paper is intended to provide a suitable reference for further research in the field of wind energy.
139 citations
TL;DR: In this paper, a neural network (NN) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) system with a high step-up converter design is proposed.
107 citations
TL;DR: Results demonstrate that the combination of EMD and SVM can be an efficient classifier with acceptable levels of accuracy.
103 citations
TL;DR: In this paper, a comparative analysis of different control methods to extract the maximum power from Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system (WECS) under different wind speed condition is presented.
87 citations
Cited by
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TL;DR: This review summarizes the available information on biphasic, triphasic and multiphasic calcium orthophosphates, including their biomedical applications, and proposes new formulations that might possess osteoinductive properties.
316 citations
TL;DR: In this paper, a comprehensive review on various maximum power point tracking (MPPT) algorithms based on Perturb and Observe, Incremental Conductance, Soft Computing and other techniques along with the real-time hardware implementation of photovoltaic (PV) system is provided.
Abstract: This paper provides a comprehensive review on various maximum power point tracking (MPPT) algorithms based on Perturb and Observe, Incremental Conductance, Soft Computing and other techniques along with the real time hardware implementation of photovoltaic (PV) system. In this review, the complete procedure, the implementation methodology and their effects in the PV output were discussed in detail for each algorithm. Further, MPPT algorithms for PV systems with partial shading condition were reviewed and reported. This paper is intended to serve as a suitable reference for future work in PV based power generation and its related research.
244 citations
TL;DR: A critical and systematic review of renewable energy and electricity prediction models applied as an energy planning tool and three major states-of-art forecasting classifications: machine learning algorithms; ensemble-based approaches; iii) and artificial neural networks are analyzed.
216 citations
TL;DR: Analysis and comparative study between the proposed fixed and variable step size ANN-MPPT controllers have been presented, showing a real contributions in term of tracking accuracy, response time, overshoot and steady state ripple.
Abstract: In this paper, two new Artificial Neural Network MPPT controllers based on fixed and variable step size have been proposed and investigated. The data required to generate the ANN model are generated using the classical Perturbation and Observation algorithm. The neural network MPPT controller is developed in two steps: the offline step required for training of different neural networks parameters in order to find the optimal neural network MPPT controller (structure, activation function and training algorithm) and the Online step where the optimal neural network MPPT controller is used in PV system. The performance of the proposed variable step size and fixed step size ANN-MPPT methods are analyzed under different operating conditions using Matlab/Simulink. To validate the simulated system hardware implementation of the proposed algorithms was carried out using experimental prototype MPPT based on Flyback converter connected to Solarex MSX-60 (4 panels) and dsPIC30F4011 control circuit. Analysis and comparative study between the proposed fixed and variable step size ANN-MPPT controllers have been presented, showing a real contributions in term of tracking accuracy, response time, overshoot and steady state ripple. In addition, this paper can be considered as a review study on ANN-MPPT methods for PV systems.
203 citations