Maximum Power Point Tracking Converter Based on the Open-Circuit Voltage Method for Thermoelectric Generators

This paper presents an enhanced maximum power point tracking approach to extract power from photovoltaic panels. The proposed method uses an artificial neural network technique to improve the fractional open-circuit voltage method by learning the correlation between the open-circuit voltage, temperature, and irradiance. The proposed method considers temperature variation and can eliminate the steady-state oscillation that comes with conventional algorithms, which improves the overall efficiency of the photovoltaic system. A comparison with the traditional and most widely used algorithms is discussed and shows the difference in performance. The presented algorithm is implemented with a Ćuk converter and tested under various weather and irradiance conditions. The results validate the competitiveness of the algorithm against other algorithms.

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Simple, fast and accurate maximum power point tracking converter for thermoelectric generators

2012 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce.2012.6342530 ◽

2012 ◽

Cited By ~ 13

Author(s):

Andrea Montecucco ◽

Jonathan Siviter ◽

Andrew R. Knox

Keyword(s):

Maximum Power Point Tracking ◽

Maximum Power ◽

Thermoelectric Generators ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

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Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

Algerian Journal of Renewable Energy and Sustainable Development ◽

10.46657/ajresd.2021.3.1.6 ◽

2021 ◽

Vol 03 (01) ◽

pp. 53-62

Author(s):

Mohammed Salah Bouakkaz ◽

◽

Ahcene Boukadoum ◽

Omar Boudebbouz ◽

Issam Attoui ◽

...

Keyword(s):

Short Circuit ◽

Maximum Power Point Tracking ◽

Open Circuit ◽

Climatic Conditions ◽

Maximum Power ◽

Hill Climbing ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

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Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems

Electronics ◽

10.3390/electronics8030321 ◽

2019 ◽

Vol 8 (3) ◽

pp. 321 ◽

Cited By ~ 11

Author(s):

Dmitry Baimel ◽

Saad Tapuchi ◽

Yoash Levron ◽

Juri Belikov

Keyword(s):

Open Circuit Voltage ◽

Open Circuit ◽

Maximum Power ◽

Pv System ◽

Maximum Power Point ◽

Pv Systems ◽

Point Tracking ◽

Pv Panel ◽

Power Point Tracking ◽

Power Point

This paper proposes two new Maximum Power Point Tracking (MPPT) methods which improve the conventional Fractional Open Circuit Voltage (FOCV) method. The main novelty is a switched semi-pilot cell that is used for measuring the open-circuit voltage. In the first method this voltage is measured on the semi-pilot cell located at the edge of PV panel. During the measurement the semi-pilot cell is disconnected from the panel by a pair of transistors, and bypassed by a diode. In the second Semi-Pilot Panel method the open circuit voltage is measured on a pilot panel in a large PV system. The proposed methods are validated using simulations and experiments. It is shown that both methods can accurately estimate the maximum power point voltage, and hence improve the system efficiency.

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