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Ramji Tiwari

Bio: Ramji Tiwari is an academic researcher from VIT University. The author has contributed to research in topics: Maximum power point tracking & Maximum power principle. The author has an hindex of 8, co-authored 29 publications receiving 290 citations. Previous affiliations of Ramji Tiwari include Sri Krishna College of Engineering & Technology.

Papers
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
TL;DR: An artificial neural network based maximum power point tracking technique for proton exchange membrane fuel cell (PEMFC) is analysed and a novel high step up DC/DC converter is incorporated in the proposed configuration.

49 citations

Journal ArticleDOI
TL;DR: An artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter using a radial basis function network (RBFN) based neural network control strategy.
Abstract: This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy to extract the maximum available power from the wind velocity. The results are compared with a classical Perturb and Observe (P&O) method and Back propagation network (BPN) method. In order to achieve a high voltage rating, the system is implemented with a quadratic boost converter and the performance of the converter is validated with a boost and single ended primary inductance converter (SEPIC). The performance of the MPPT technique along with a DC/DC converter is demonstrated using MATLAB/Simulink.

44 citations

Journal ArticleDOI
28 Sep 2017-Energies
TL;DR: In this article, a co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine.
Abstract: In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.

32 citations


Cited by
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Journal ArticleDOI
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

Journal ArticleDOI
TL;DR: The proposed controller extremely reduces the speed dissimilarity range of wind power generation system, which leads to rationalizing the pulse width inflection of DFIG rotor side converter, which increases the system's reliability and delivers an effective power tracking with reduced converter losses.
Abstract: Science and Engineering Research Board, India, Department of Science & Technology, Government of India: ECR/2017/000259

119 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the most-recent model-based fault detection and fault tolerant control schemes for wind turbine power generation is presented, focusing on the advantages, capabilities and limitations.

114 citations

Journal ArticleDOI
TL;DR: In this paper, an intelligent pitch angle controller using a multilayer perceptron artificial neural network (MLP-ANN) was proposed for the Darrieus vertical axis wind turbine (H-type VAWT).

101 citations

Journal ArticleDOI
TL;DR: This article offers a concise review of the state of the art MPPT algorithms with critical analysis to improve the ability to choose the appropriate algorithm for a specific application and to offer an appropriate reference for research trends in P&OMPPT algorithms.

86 citations