IMPROVING THE PERFORMANCE OF SOLAR POWER PLANTS IN GRID CONNECTED MODES USING ALTRUISTIC TRANSFORMATIVE ALGORITHM
Abstract
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Distributed Generation systems (DGs) using solar is one of the new trends of power generation. These distributed generating units are integrated to form a micro grid and to serve the loads among the locality, which is in connection with the utility grid for power exchange. These distributed generation systems can be operated at two modes, Grid connected mode, and standalone mode. Distributed Generation (DGs) can provide high reliability by providing on-site generation and its advantages like the elimination of transmission losses, utilization of green fuels and reduction of load demand upon the utility grid resulting in a reduction of fossil fuel consumption. Many DGs are available like Photovoltaic (PV) cells, wind turbine, diesel and small hydro systems. However the output of solar arrays varies due to change of solar irradiation and weather conditions. In this work Altruistic Transformative method based HOMER design tool is used for the simulation and analysis of the solar power system which simplifies the task of evaluating designs. HOMER’s optimization and sensitivity analysis algorithms make it easier to assess a possible number of design configurations. It provides highly possible simulation results compared to the other conventional techniques. Over 95% efficiency is achieved by using an Altruistic Transformative method based HOMER solar grid design, when compared with other techniques like Fuzzy and Incremental Conductance (INC).

Authors
R Palanisamy1, K Sathiyasekar2, P L N Ramesh3, K G Parthiban4
Builders Engineering College, India1, Prathyusha Engineering College, India2,3, Adithya Institute of Technology, India4

Keywords
Photovoltaic System, Distributed Generators, HOMER Software, Boost Converter, Grid Tie Inverter, Fuzzy Logic Controller
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Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 6 , Issue: 2 , Pages: 917-922 )
Date of Publication :
July 2020
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150
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