Abstract
Prediction of output power has become important with the expansion of photovoltaic systems in recent years. Power prediction can be used for economic analysis, loss calculation and optimal designs. In this paper, a new approach for estimating the maximum output power of a photovoltaic power plant is proposed using the meteorological data under cloudy conditions. Basic concepts for understanding the behavior of modules in partial shading condition (PSC) are presented. To find the global maximum power point (GMPP), the shading index is introduced which can be used to find the maximum power point using the climate data. Then, analytical approach has been employed to find voltage and current of arrays at GMPP for both series and series-parallel configurations. The analytical approach is verified using MATLAB-SIMULINK software. Various experimental tests are made to confirm the aforementioned method validity.
Original language | English |
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Title of host publication | 2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9781728158495 |
DOIs | |
Publication status | Published - 1 Feb 2020 |
Event | 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of Duration: 4 Feb 2020 → 6 Feb 2020 |
Conference
Conference | 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 |
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Country/Territory | Iran, Islamic Republic of |
City | Tehran |
Period | 4/02/20 → 6/02/20 |
Keywords
- array mismatch
- modeling
- partial shading
- Photovoltaic
- power estimation