Photovoltaic’s characteristics modelling based on fuzzy time series
| Main Authors: | Irdam, Fortinov Akbar, Rusirawan, Dani |
|---|---|
| Format: | Article info application/pdf Proceeding |
| Bahasa: | eng |
| Terbitan: |
FoITIC
, 2021
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| Subjects: | |
| Online Access: |
https://eproceeding.itenas.ac.id/index.php/foitic/article/view/71 https://eproceeding.itenas.ac.id/index.php/foitic/article/view/71/64 |
Daftar Isi:
- Recently, fulfillment of energy needs is predominated by utilization of fossil energy. Fossil energy is limited resources and less eco-friendly. Based on that, researches began to develop clean energy based on renewable resources, solar as main energy’s source for humankind’s live is one of them. The potential of solar energy in Indonesia is estimated 207,8 GWp, the largest around other renewable resources. Due to sunshine year-round, Indonesia become suitable place to develop solar-based energy technology, especially photovoltaic (PV). PV is device that is converted solar energy into electricity. PV has its own characteristics, such as ambient temperature, irradiation, humidity, and wind velocity as input parameters and cell temperature, voltage, current, and power as output parameters. All of characteristics can be obtained by direct measurement which need more device and waste time. To simplify in understanding all of these parameters, modelling is needed. This research will be shown PV characteristics modelling based on fuzzy time series (FTS). FTS is one of fuzzy logic method to predict future data based on historical data. The focus of modelling is output parameters, such as voltage (V), current (I), and power (P). The collected data will be divided into some classes with same intervals before fuzzy sets are created. After that, fuzzy logic processes will be done to obtain the modelling results. Margin of Error is obtained by compare of the modelling results and collected data. They are 3,9% for voltage; 24,7% for current at intervals of 0,05 and 34,8% at intervals of 0,2; 21,5% for power at intervals of 7 and 34,8% at intervals of 20.