- Microgrid Control and Optimization
- Multilevel Inverters and Converters
- Wind Turbine Control Systems
- Advanced DC-DC Converters
- Advanced Battery Technologies Research
- Photovoltaic System Optimization Techniques
- Frequency Control in Power Systems
- Hybrid Renewable Energy Systems
- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Smart Grid Security and Resilience
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Electric and Hybrid Vehicle Technologies
- Induction Heating and Inverter Technology
- Fuel Cells and Related Materials
- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Wind Energy Research and Development
- Electrocatalysts for Energy Conversion
- Smart Parking Systems Research
- Photovoltaic Systems and Sustainability
- Context-Aware Activity Recognition Systems
- Electric Power System Optimization
- Transportation and Mobility Innovations
Sri Venkateswara University
2020
M. Kumarasamy College of Engineering
2020
Vellore Institute of Technology University
2016-2019
Chaitanya Bharathi Institute of Technology
2019
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 wind speed condition is presented. The WECS consists turbine, PMSG and DC/DC converter which connected DC load. Maximum Power Point Tracking (MPPT) technique compared here are Proportional Integral (PI) control, Perturb Observe (P&O) method Fuzzy Logic Controller (FLC). parameters considered for...
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 radial basis function (RBFN) to extract the available from velocity. results are compared classical Perturb and Observe (P&O) method Back propagation (BPN) method. In order achieve high voltage rating, is quadratic boost converter performance of validated single ended...
In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on radial basis function network (RBFN) is proposed for variable speed pitch wind turbine. The controller used to maximise output when the low and optimise high. provides robustness nonlinear characteristic of speed. It uses speed, generator as input variables utilises duty cycle reference control variables. converter so in order above rated region. effectiveness was verified using...
This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine.The proposed methodology uses Radial Basis Function Network (RBFN) and Feedforward Back propagation (BPN) algorithm to generate angle.The performance of the technique is analyzed by comparing results with Fuzzy Logic Control (FLC) Proportional -Integral (PI) techniques.The techniques implemented able compensate nonlinear characteristic speed.The turbine smoothly...
This paper presents a novel control strategy employing the maximum power point tracking (MPPT) and direct (DPC) for permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS). The WECS adopts medium voltage source converter with AC-DC-AC configuration. 10 MW farm is implemented in this which consists of 2 PMSG's systems. connected to DC collection grid through DC/DC rectifier topology. AC using single DC/AC inverter thus providing simple technique controls...
This paper presents the design and analytical modeling of proposed solar photovoltaic standalone system under varying environmental conditions. The consists a unique structure PV-tree, maximum power point tracking (MPPT) technique, DC–DC converter. output voltage acquired from PV tree is low. A boost converter utilized to step-up required amount level. In this paper, appropriate duty cycle obtained for extracting optimum by using various MPPT mechanisms such as perturb observe (P&O),...
This paper proposes a multi-input single output (MISO) super lift negative Luo converter for DC grid connected hybrid wind and photo voltaic (PV) system. The proposed is developed by sharing the charging capacitor link between two converters to form Therefore, it has advantage of simple structure reduced passive components. designed then analyzed PV study considers 500W system 560W with maximum power point tracking (MPPT) algorithms perturb& observe (P&O) method both effectiveness been...
This paper presents an output power smoothing method by a coordinate control of machine side converter and grid for permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS). The WECS adopts medium voltage source with AC-DC-AC configuration. fluctuations are compensated using direct torque maximum point controller oriented control. DC link is controlled the extracted turbine. proposed provides effective solution integration constant flow from to system....
This paper presents a novel control strategy employing the artificial neural network-based direct torque (DTC) and power (DPC) for permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). The Aeolos 3 kW ratings are considered in this real time validation. proposed combines network (ANN)-based DTC as machine side (MSC) ANN-based DPC grid (GSC) order to track maximum regulate active power, respectively. To generate switching pulse converter side, technique is...
In this article a high step up DC-DC Converter which is integrated with renewable energy resources proposed. The disadvantage of conventional converters that it has duty ratio and voltage stress across power devices less efficiency. proposed methodology uses flyback converter to obtain static gain improve the efficiency by reducing switch diodes. Thus avoiding operation recycling coupled inductor stored energy, overall gets improved.
A hybrid high voltage-gain DC-DC power converter is presented to the renewable photovoltaic (PV) application. The extraction of maximum and electronics conversion from small voltage Renewable Energy Sources (RES) a required level main function converters. traditional Boost self lift Cuk converters are hybridized by sharing single switch, for obtaining gain. artificial neural network based MPPT considered take out extreme (RES). proposed compared along with technique. Simulation outcome...
The article presents a DC-to-DC high step-up quadratic boost converter with maximum power point tracking (MPPT) technique using artificial neural network (ANN) for wind energy transfer systems. In order to get the possible electrical from speed, proposed topology employs back propagation (BPN) based control technique. A (QBC) is employed in this system attain higher voltage rating, and its performance tested determine efficiency. developed MATLAB/Simulink platform demonstrate operating...
This paper proposes radial basis function network (RBFN) based maximum power point control strategy for standalone wind energy conversion system (WECS). Single ended primary inductor converter (SEPIC) is employed to improve the output DC voltage desired level. The accurate and fast convergence of achieved using RBFN controller during conditions where there rapid variation in speed. proposed methodology compared with conventional perturb & observe (P&O) algorithm. performance technique along...