DocumentCode
3545478
Title
Modeling components of a DC coupled photovoltaic system with maximum power point tracking
Author
Majumdar, Shreyan ; Sapalok, A. ; Chakraborty, Nilanjan
Author_Institution
Dept. of Power Eng., Jadavpur Univ., Kolkata, India
fYear
2012
fDate
19-22 Dec. 2012
Firstpage
1
Lastpage
6
Abstract
Prices of Fossil Fuel prices increased steadily in past few years. Effect of greenhouse gases and its impact on global climate change is clearly visible. Alternative technologies for producing electricity are under current research focus. Among many renewable alternatives which have the potential to address these concerns Photovoltaic Cells (PV) could be considered a viable solution. Photovoltaic Cells capture solar radiation and convert it directly into electrical energy. A Shockley Diode equation based model was select to model solar arrays. A battery bank was modeled with parasitic model. They are located at the end user site and form a distributed generation system. The cost of generation of power by this method is higher than the conventional fossil fuel generation. Distributed generation or on site generation provide an added economic benefit in terms of reduced transmission and distribution losses and infrastructure investments. An electrical energy consumption site, Jadavpur University Saltlake Campus, Kolkata India, was considered to be powered entirely by solar power and impact of Maximum Power Tracking is studied for the same system. The Load of the system was forecasted using regression analysis.
Keywords
distributed power generation; fossil fuels; investment; load forecasting; maximum power point trackers; photovoltaic power systems; power generation economics; pricing; regression analysis; solar cell arrays; steam power stations; sunlight; DC coupled photovoltaic system; Jadavpur University Saltlake Campus; Kolkata India; PV Cells; Shockley diode equation based model; battery bank; distributed generation system; distribution losses; electrical energy consumption site; electricity production; fossil fuel generation; fossil fuel prices; global climate change; greenhouse gas effect; infrastructure investments; maximum power point tracking; parasitic model; photovoltaic cells; power generation cost; regression analysis; renewable alternatives; solar arrays; solar power; solar radiation; transmission losses; Batteries; Inverters; Load modeling; Mathematical model; Resistance; System-on-chip; Temperature; Battery; Incremental conductance; Inverter; Maximum Power Point Tracking; Photovoltaic arrays; Regression analysis; Solar energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Power India Conference, 2012 IEEE Fifth
Conference_Location
Murthal
Print_ISBN
978-1-4673-0763-5
Type
conf
DOI
10.1109/PowerI.2012.6479505
Filename
6479505
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