University of Oulu

C. Schuss, T. Fabritius, B. Eichberger and T. Rahkonen, "Moving Photovoltaic Installations: Impacts of the Sampling Rate on Maximum Power Point Tracking Algorithms," in IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 5, pp. 1485-1493, May 2019. doi: 10.1109/TIM.2019.2901979

Moving photovoltaic installations : impacts of the sampling rate on maximum power point tracking algorithms

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Author: Schuss, Christian1; Fabritius, Tapio2; Eichberger, Bernd3;
Organizations: 1Circuits and Systems Research Unit, University of Oulu, 90014 Oulu, Finland
2Optoelectronics and Measurement Techniques Research Unit, University of Oulu, 90014 Oulu, Finland
3Electronic Sensor Systems, Graz University of Technology, 8010 Graz, Austria
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 6.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019090226398
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-09-02
Description:

Abstract

This paper investigates the impact of the solar radiation level on the available output power of moving photovoltaic (PV) installations with the help of PV simulation models and real-world environmental data. For moving PV installations, for example, on top of hybrid electric vehicles and battery-powered electric vehicles, the sampling rate was 6000 samples per second. We analyze the changes in the amount of solar radiation that can influence on the control of the operating voltage of PVs within maximum power point tracking (MPPT) algorithms. We present recommendations for the sampling rate of environmental data, which is used for PV simulation models. Furthermore, we discuss the update frequency of vital parameters of different MPPT techniques for controlling moving PV installations. Here, we concentrate on the degree of efficiency of the perturb and observe algorithm. In addition, we show how the sampling rate of environmental data influences the test criteria for MPPT algorithms.

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Series: IEEE transactions on instrumentation and measurement
ISSN: 0018-9456
ISSN-E: 1557-9662
ISSN-L: 0018-9456
Volume: 68
Issue: 5
Pages: 1485 - 1493
DOI: 10.1109/TIM.2019.2901979
OADOI: https://oadoi.org/10.1109/TIM.2019.2901979
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
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