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S. Narendiran

Bio: S. Narendiran is an academic researcher from VIT University. The author has contributed to research in topics: Photovoltaic system & Maximum power point tracking. The author has an hindex of 5, co-authored 15 publications receiving 85 citations. Previous affiliations of S. Narendiran include Rajalakshmi Engineering College & Sri Krishna College of Engineering & Technology.

Papers
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Proceedings ArticleDOI
17 Mar 2016
TL;DR: In this article, a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) method for the PV system under constant and varying climatic conditions is proposed. But the performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT.
Abstract: Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT.

31 citations

Proceedings ArticleDOI
S. Narendiran1
20 Mar 2013
TL;DR: In this paper, the authors give an idea about grid tie inverter (GTI), PV inverters, Inverter topology and maximum power point tracking system and its types like Fixed Duty cycle, constant voltage, Perturb and observe (P&O) and Modified P&O, Incremental Conductance (IC), Modified IC, Ripple correlation and system oscillation methods in detail how this methods helps to give an efficient power output to the grid system from the PV arrays.
Abstract: This paper gives an idea about grid tie inverter (GTI), PV inverters, Inverter topology and Maximum power point tracking system and its types like Fixed Duty cycle, constant voltage, Perturb and observe (P&O) and Modified P&O, Incremental Conductance (IC) and Modified IC, Ripple correlation and system oscillation methods in detail how this methods helps to give an efficient power output to the grid system from the PV arrays.

23 citations

Proceedings ArticleDOI
01 Dec 2015
TL;DR: In this article, the performance of a microcontroller based charge controller coupled with an solar Photovoltaic (PV) system for improving the charging/discharging control of battery is discussed.
Abstract: This paper discuss the performance of a microcontroller based charge controller coupled with an solar Photovoltaic (PV) system for improving the charging/discharging control of battery. The solar charge controller will prevent the overcharging of the battery hence will be useful for lengthening the lifespan of the battery. It will also help prevent electricity from flowing from the batteries to the solar panels at night. Solar charge controller will prove to be useful in blocking the reverse current flow which otherwise may lead to discharge of the batteries at night. The results obtained demonstrate the good performance of the charge controller as well as the benefits of its use in the power quality improvement.

19 citations

Proceedings ArticleDOI
17 Mar 2016
TL;DR: A detailed simulation of the proposed particle Swarm Optimization technique for multi-junction solar cell system shows that this design can be effectively realized in practical applications.
Abstract: Particle Swarm Optimization (PSO) technique has been applied for multi-junction solar cell system. The solar panels are made up of different materials and give constant output from Boost converter. The main aim of PSO is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.

8 citations

Journal Article
TL;DR: In this paper, the performance of different MPPT techniques under static and dynamic atmospheric conditions is explored. And the performance level of these MPPT methods varies in several prospects such as response time, oscillations around maximum power point (MPP), tracking efficiency, the percentage of energy reduced to attain steady state and hardware implementation.
Abstract: Maximum power point tracking (MPPT) is used in photovoltaic (PV) system to continuously maximize the available power from PV panel. The power output from the panel is non-linear due to atmospheric conditions. This paper explored the performance of different maximum power point tracking (MPPT) techniques under static and dynamic atmospheric conditions. For performance assessment perturb and observe (P&O), fuzzy logic control (FLC) and particle swarm optimization MPPT techniques are developed. The performance level of these MPPT methods varies in several prospects such as response time, oscillations around maximum power point (MPP), tracking efficiency, the percentage of energy reduced to attain steady state and hardware implementation. A PV array of 1.5KW and boost converter with P&O, FLC, and PSO MPPT techniques are pretend using MATLAB/Simulink environment and established through the experimental setup. For a hardware implementation, to generate duty cycle for a boost converter using different MPPT algorithms dSPACE DS1103 processor board is used. The methodologies followed for analysis in this work are as follows: to begin with, MATLAB based solar PV module is developed and verified, then different MPPT techniques are engaged in this PV module under static and dynamic atmospheric circumstances to study the success of MPPT through simulation and hardware setup .

8 citations


Cited by
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01 Jan 2016
TL;DR: This power electronics converters applications and design helps people to enjoy a good book with a cup of tea in the afternoon, instead they cope with some malicious virus inside their desktop computer.
Abstract: Thank you for downloading power electronics converters applications and design. Maybe you have knowledge that, people have look numerous times for their favorite readings like this power electronics converters applications and design, but end up in harmful downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they cope with some malicious virus inside their desktop computer.

754 citations

Journal ArticleDOI
TL;DR: This paper presents the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach and mentions some metaheuristics belonging to the SI.
Abstract: In this paper, we present the swarm intelligence (SI) concept and mention some metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach. In recent years, researchers are eager to develop and apply a variety of these two methods, despite the development of many other newer methods as Bat or FireFly algorithms. Presenting the PSO and ACO we put their pseudocode, their properties, and intuition lying behind them. Next, we focus on their real-life applications, indicating many papers presented varieties of basic algorithms and the areas of their applications.

168 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an overview of the different MPPT techniques, including perturbation and observation (P&O), and incremental conductance (IC) algorithms, and evaluate the performance of these two common approaches from a dynamic and steady state perspective.
Abstract: Maximum power point tracking (MPPT) controllers play an important role in photovoltaic systems They maximize the output power of a PV array for a given set of conditions This paper presents an overview of the different MPPT techniques Each technique is evaluated on its ability to detect multiple maxima, convergence speed, ease of implementation, efficiency over a wide output power range, and cost of implementation The perturbation and observation (P & O), and incremental conductance (IC) algorithms are widely used techniques, with many variants and optimization techniques reported For this reason, this paper evaluates the performance of these two common approaches from a dynamic and steady state perspective

115 citations

Journal ArticleDOI
TL;DR: In this paper, the principles behind island-detection methods, black-start operation, fault management, and protection systems, along with a comprehensive review of power quality are summarized with a flowchart and tables.
Abstract: The development of distribution networks for participation in active network management (ANM) and smart grids is introduced using the microgrid concept. In recent years, this issue has been researched and implemented by many experts. The second part of this paper describes those developed operational concepts of microgrids that have an impact on their participation in ANM and in the requirements for achieving targets. Power quality is the most challenging task in microgrids, especially when the system switches from normal parallel operation (grid-connected mode) to island operation. Indeed, following planned or unplanned transitions to island mode, microgrids may develop instability. For this reason, the paper addresses the principles behind island-detection methods, black-start operation, fault management, and protection systems, along with a comprehensive review of power quality. Finally, island detection and the other topics are summarized with a flowchart and tables.

105 citations

Proceedings ArticleDOI
28 Jun 2019
TL;DR: This review paper is aimed to give a brief overview of evolutionary algorithms, their benchmarking and their recent successful applications.
Abstract: Metaheuristic algorithms can be summarized as a form of stochastic optimization algorithm which does not depend on the surface gradient for optimization. These algorithms draw inspiration from various sources to improve fitness but most of these algorithms are nature inspired. They have been actively researched area due to their vast applications in engineering and artificial Intelligence application. This research area and their applications has been tremendously growing as shown through the last 2 decades research. This review paper is aimed to give a brief overview of evolutionary algorithms, their benchmarking and their recent successful applications. This paper will focus on 3 fundamental issues: state of the art algorithms, benchmarking issues and applications.

69 citations