Moving Photovoltaic Installations: Impacts of the Sampling Rate on Maximum Power Point Tracking Algorithms

Christian Schuss; Tapio Fabritius; Bernd Eichberger; Timo Rahkonen

doi:10.1109/TIM.2019.2901979

Moving Photovoltaic Installations: Impacts of the Sampling Rate on Maximum Power Point Tracking Algorithms

Christian Schuss^*, Tapio Fabritius, Bernd Eichberger, Timo Rahkonen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	8668430
Pages (from-to)	1485-1493
Number of pages	9
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	68
Issue number	5
DOIs	https://doi.org/10.1109/TIM.2019.2901979
Publication status	Published - 1 May 2019

Keywords

Accuracy
data acquisition (DAQ)
environmental data
maximum power point tracking (MPPT)
moving photvoltaic installations
resolution
sampling rate
solar energy
solar radiation level

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TIM.2019.2901979

Cite this

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title = "Moving Photovoltaic Installations: Impacts of the Sampling Rate on Maximum Power Point Tracking Algorithms",

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.",

keywords = "Accuracy, data acquisition (DAQ), environmental data, maximum power point tracking (MPPT), moving photvoltaic installations, resolution, sampling rate, solar energy, solar radiation level",

author = "Christian Schuss and Tapio Fabritius and Bernd Eichberger and Timo Rahkonen",

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AU - Eichberger, Bernd

AU - Rahkonen, Timo

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

KW - Accuracy

KW - data acquisition (DAQ)

KW - environmental data

KW - maximum power point tracking (MPPT)

KW - moving photvoltaic installations

KW - resolution

KW - sampling rate

KW - solar energy

KW - solar radiation level

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Moving Photovoltaic Installations: Impacts of the Sampling Rate on Maximum Power Point Tracking Algorithms

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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