Belwin Edward J

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Sarjila R

Manimegalai A.

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

2019 Innovations in Power and Advanced Computing Technologies (i-PACT)

This article presents the calculation of the parameter extraction of photovoltaic (PV) panel using artificial immune system (AIS) and compared with genetic algorithm (GA) usingMATLAB, Simulink at different environmental conditions (for different irradiations (200â1000 w/m2)). The proposed method showing Ipv versus Vpv curves and to compare the obtained curve to the ideal values in order to obtain the absolute error curve. For extracting parameters of a PV cell, the proposed method useful because it can handle nonlinear functions. The proposed method compared with manual data and are validated by three different types of PV modules named as, Multi-crystalline (SHELL S36), Mono-crystalline (SHELL SP70) and Thin-film (SHELL ST40). Data derived from these calculations beneficial to decide the suitable computational technique to build an accurate and efficient simulators for a PV system.

Advances in Intelligent Systems and Computing Information Systems Design and Intelligent Applications

An AIS Based Approach for Extraction of PV Module Parameters

Parameter extraction of a solar photovoltaic system is a nonlinear problem. Many optimization algorithms are implemented for this purpose, which failed in giving better results at low irradiance levels. This article presents a novel method for parameter extraction using gravitational search algorithm. The proposed method evaluates the parameters of different PV panels at various irradiance levels. A critical evaluation and comparison of gravitational search algorithm with other optimization techniques such as genetic algorithm are given. Extensive simulation analyses are carried out on the proposed method and show that GSA is much suitable for parameter extraction problem.

Fulltext

Journal of Electrical and Computer Engineering

Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm

2017 Innovations in Power and Advanced Computing Technologies (i-PACT)

Journal of Computer Applications

Gravitational search algorithm based on feedback mechanism and its application in SVM

Applied Energy

Parameter extraction of solar photovoltaic modules using penalty-based differential evolution

Implementation of Modified Gravitational Search Algorithm for Solar Panel Parameters Extraction

Journal	Data powered by Typeset2019 Innovations in Power and Advanced Computing Technologies (i-PACT)
Publisher	Data powered by TypesetIEEE
Open Access	0