This paper presents a new technology based solar PV charge controller which contains series, shunt charge controller. The lead acid battery is been chosen for charging and discharging of series, shunt charge controller due to its features. Authors used MOSFET's for the switching purpose and it will reduce the switching losses. The proposed charge controller has been developed using MATLAB and the charging and discharging process of developed charge controller has been verified. Further, the developed charge controller has been maintained within the SOC limits by considering the efficiency of the battery maintained good, hence forth the life time of battery can be increased up to a larger extent. In addition, the analysis on various charge controller has been discussed and based on this it can be proved that; the performance of the proposed charge controller is improved and it requires less number of switches so the cost of the system also reduces. It is most suitable for optimize the energy crises in the rural areas to an affordable level. © 2017 The Authors. Published by Elsevier Ltd.

Rajasekar N

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Lokeshreddy M

Kumar P.J.R.P

Chandra S.A.M

Babu T.S

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Energy Procedia

In recent years solar energy has received worldwide attention in the field of renewable energy systems. Among the various research thrusts in solar PV, the most proverbial area is extracting maximum power from solar PV system. Application dof Maximum Power Point Tracking (MPPT) for extracting maximum power is very much appreciated and holds the key in developing efficient solar PV system. In this paper, a state of the art review on various maximum power point techniques for solar PV systems covering timeworn conventional methods and latest soft computing algorithms is presented. To date critical analysis on each of the method in terms of (1) tracking speed, (2) algorithm complexity, (3) Dynamic tracking under partial shading and (4) hardware implementation is not been carried out. In this regard the authors have attempted to compile a comprehensive review on various solar PV MPPT techniques based on the above criteria. Further, it is envisaged that the information presented in this review paper will be a valuable gathering of information for practicing engineers as well as for new researchers. © 2016 Elsevier Ltd

Renewable and Sustainable Energy Reviews

A comprehensive review on solar PV maximum power point tracking techniques

A nearly accurate solar photovoltaic emulator using DC-DC buck converter is proposed. A mathematical model developed using MATLAB/SIMULINK (The MathWorks, Natick, Massachusetts, USA) serving as reference is built for emulating solar photovoltaic characteristics. Hardware implementation is done using a dSPACE ds1104 controller board (dSPACE GmbH, Paderborn, Germany), and a closed-loop control system is constructed using proportional integral (PI) controller. The proposed emulator has the following characteristics:(1) faster dynamic response with easy interfacing, (2) the advantage of real-time control, (3) a DC-DC buck converter with higher bandwidth, (4) highly stable output with lower response time, and (5) lower output voltage and current ripple. Experimentations are done under different operating conditions, and the results obtained are presented. Further, to demonstrate the capability of the proposed emulator, maximum power point tracking using the hill-climbing method is tested on a DC-DC boost converter interfaced to the solar photovoltaic emulator. © 2016, Copyright © Taylor &amp; Francis Group, LLC.

Electric Power Components and Systems

A Nearly Accurate Solar Photovoltaic Emulator Using a dSPACE Controller for Real-time Control

The extraction of maximum power from solar photovoltaic (PV) using Maximum Power Point Tracking (MPPT) methods is a promising research area in the recent past. Many methods including conventional methods, such as Hill Climbing and Incremental Conductance, and methods based on neural network, Fuzzy logic and bio-inspired algorithms, were proposed for MPPT application. However, all these methods suffer from drawbacks such as slower convergence, reduced power output, predominant steady state oscillations, larger memory requirement, and complex structure. Hence, in this paper an attempt is made to enhance existing Particle Swarm Optimization technique by emphasizing proper initial value selection. The key features of this method include the ability to track the global peak power accurately under partial shading conditions with almost zero steady state oscillations, faster dynamic response, and easy implementation. Simulations are carried out for different shading patterns and the results obtained are compared with existing methods. Further, simulation results are validated via experimental values. © 2016 AIP Publishing LLC.

Journal of Renewable and Sustainable Energy

Voltage band based improved particle swarm optimization technique for maximum power point tracking in solar photovoltaic system

Generation of electricity from solar energy has gained worldwide acceptance due to its abundant availability and eco-friendly nature. Even though the power generated from solar looks to be attractive; its availability is subjected to variation owing to many factors such as change in irradiation, temperature, shadow etc. Hence, extraction of maximum power from solar PV using Maximum Power Point Tracking (MPPT) method was the subject of study in the recent past. Among many methods proposed, Hill Climbing and Incremental Conductance MPPT methods were popular in reaching Maximum Power under constant irradiation. However, these methods show large steady state oscillations around MPP and poor dynamic performance when subjected to change in environmental conditions. On the other hand, bio-inspired algorithms showed excellent characteristics when dealing with non-linear, non-differentiable and stochastic optimization problems without involving excessive mathematical computations. Hence, in this paper an attempt is made by applying modifications to Particle Swarm Optimization technique, with emphasis on initial value selection, for Maximum Power Point Tracking. The key features of this method include ability to track the global peak power accurately under change in environmental condition with almost zero steady state oscillations, faster dynamic response and easy implementation. Systematic evaluation has been carried out for different partial shading conditions and finally the results obtained are compared with existing methods. In addition, simulations results are validated via built-in hardware prototype. © 2015 Elsevier B.V.

Applied Soft Computing

Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading condition

The abundance and non-polluting nature of solar energy has aroused the interest of many researchers. This worldwide attention of photovoltaic panels has led to the need of generating accurate model for solar photovoltaic (PV) module before proceeding to the installation part. However, accurate modeling of solar PV characteristics is difficult; since the manufacturer's datasheet provides only four values such as Vmp, Imp, Voc, and Isc. Further, for accurate modeling precise estimation of model parameters at different environmental conditions are very essential. On the other hand, optimization technique is a very powerful tool to obtain solutions to complex non-linear problems. Hence, in this paper, Bacterial Foraging Algorithm is proposed to model the solar PV characteristics accurately. A new equation has been evolved to determine the values of Voc, Vmp accurately; since these values decides the closeness of the simulated characteristics. Model parameters are extracted for three different types of solar PV panels. A systematic evaluation and performance comparison of Bacterial Foraging Algorithm with other optimization techniques such as Genetic Algorithm and Artificial Immune System has been done and the best computational technique is derived based on performance criteria such as accuracy, consistency, speed of convergence and absolute error. Extensive computations are carried out for the proposed method, as well as for Genetic Algorithm and Artificial Immune System to substantiate the findings. © 2013 Elsevier Ltd.

Journal	Data powered by TypesetEnergy Procedia
Publisher	Data powered by TypesetElsevier BV
ISSN	1876-6102
Open Access	Yes