Simulation of Grid-Tied Photovoltaic System Based on Solar Irradiance and Temperature Data in Semarang

This paper presents a simulation of a grid-connected photovoltaic power system. A complex model of power distribution system is developed in MATLAB Simulink, then it will be simulated to determine an amount of power delivered to the grid based on irradiance and temperature. Solar irradiance data col...

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Bibliographic Details
Published in:E3S web of conferences 2019-01, Vol.125, p.14006
Main Authors: Fomba, Ahmed Jumui Sumoi, Hermawan, Hermawan, Andromeda, Trias, Facta, Mochammad, Setiawan, Iwan
Format: Article
Language:English
Subjects:
boost-converter
grid-integration
inverter
mppt
photovoltaic array
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Summary:This paper presents a simulation of a grid-connected photovoltaic power system. A complex model of power distribution system is developed in MATLAB Simulink, then it will be simulated to determine an amount of power delivered to the grid based on irradiance and temperature. Solar irradiance data collection is conducted using a solar irradiance meter. These weather data (solar irradiances and temperatures) are transformed into signal inputs and model through a grid-tied Photovoltaic (PV) model system which consists of PV, incremental conductance Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) control algorithms, and grid equipment. The output variables can be related to current, voltage or power. However, tracing of the current-voltage (I-V) characteristics or power-voltage (P-V) characteristics are the vital need to grid-tied PV system operation. Changes in solar irradiance and temperature imply changes in output variables. Detailed modelling of the effect of irradiance and temperature, on the parameters of the PV module and the output parameters will be discussed. With the aid of this model, one can have a feasible idea about the solar energy generation potential at given locations. This comprehensive model is simulated using MATLAB/Simulink software.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/201912514006