Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
---|---|---|
Article Number | 14013 | |
Number of page(s) | 6 | |
Section | Renewable Energy | |
DOI | https://doi.org/10.1051/e3sconf/201912514013 | |
Published online | 28 October 2019 |
Analysis Performance of Grid Tie Photovoltaic Type Polycrystalline Using Solar Irradiance Simulation
1 Magister Study Program of Electrical Engineering, Diponegoro University, Semarang - Indonesia
2 Department of Electrical Engineering, Faculty of Engineering, Diponegoro University, Semarang – Indonesia
* Corresponding author: kurniawngalih86@gmail.com; triasnote@gmail.com
Indonesia is a country consisting of several islands some of which are still not covered by electricity. It is this source of PV that can be used to meet the needs of people who are not yet affordable with PLN electricity. Basically, PV includes the generation of new renewable energy types. This new form of energy comes from sunlight. Using semiconductor materials can convert energy from sunlight to electrical energy. Because in Indonesia this includes tropical climates located on the equator line, making Indonesia has a very high intensity of light. Several factors affect electrical energy, namely the extent of PV to be used, the total irradiance received by PV, the decrease in performance due to weather and cleanliness of the PV used such as snow and oiliness. In this study explained the Analysis of Irradian-based Grid Tie photovoltaic performance with Polycrystalline PV types. Taking irradian data using a Solar Power Meter, irradiance and temperature data at a certain time will use the Incremental Maximum Power Point Tracking (MPPT) method, DC-DC boost converter, inverter, voltage source converter (VSC) using algorithm and equipment controls connected to network. This research is simulated using Matlab with the Simulink program.
Key words: Grid, Irradiance / Temperature / Solar Photovoltaic / PVArray / MPPT
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.