Mathematical Parametrisation of Irradiance Transitions Caused by Moving Clouds for PV System Analysis
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
Original language | English |
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Title of host publication | 32nd European Photovoltaic Solar Energy Conference and Exhibition (32nd EU PVSEC), 20–24 June, 2016, Munich, Germany |
Pages | 1485-1489 |
Number of pages | 5 |
ISBN (Electronic) | 3-936338-41-8 |
DOIs | |
Publication status | Published - 2016 |
Publication type | A4 Article in a conference publication |
Event | European Photovoltaic Solar Energy Conference - Duration: 1 Jan 2014 → … |
Conference
Conference | European Photovoltaic Solar Energy Conference |
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Period | 1/01/14 → … |
Abstract
Irradiance transitions caused by moving clouds can have considerable negative effects on the operation of photovoltaic (PV) systems. They may lead to failures in maximum power point tracking causing extra losses and to mismatch power losses due to partial shading. Further, they can cause significant fluctuations in the output power of PV systems.
This paper presents a method to parametrise irradiance transitions caused by moving clouds based on a mathematical model of the transitions. Irradiance transitions were parametrised by four variables: shading strength, shape related parameter b, speed and direction of movement which have no correlation with each other. The applicability of the parametrisation method in PV system analysis was demonstrated by simulations. The simulation results show that the developed parametrisation method is suitable for long-term PV system analysis.
This paper presents a method to parametrise irradiance transitions caused by moving clouds based on a mathematical model of the transitions. Irradiance transitions were parametrised by four variables: shading strength, shape related parameter b, speed and direction of movement which have no correlation with each other. The applicability of the parametrisation method in PV system analysis was demonstrated by simulations. The simulation results show that the developed parametrisation method is suitable for long-term PV system analysis.