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Variable DC-Link Voltage Algorithm with a Wide Range of Maximum Power Point Tracking for a Two-String PV System

Author

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  • June-Seok Lee

    (Department of Electrical and Computer Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Kyunggi-do, Korea)

  • Kyo Beum Lee

    (Department of Electrical and Computer Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Kyunggi-do, Korea)

Abstract

This paper proposes a variable DC-link reference voltage algorithm for wide range of maximum power point tracking (MPPT) for two-string photovoltaic (PV) systems. A multi-string system, which is a kind of PV system, is widely used due to its many merits (such as the ability to use low rating devices, high MPPT efficiency, and so forth). PV systems can choose their input voltages on the basis of their PV cell connection structure. The PV cell connection structure can be restricted because the input voltage and current affect the PV system design. This reduces the MPPT range under some weather conditions. In the restricted PV connection structure, this algorithm enlarges the MPPT range and minimizes the increment of the total harmonic distortion (THD) by selecting the appropriate DC-link voltage reference which is changed by comparing the sorted input voltage. To verify the proposed algorithm, simulation and experiments are conducted to show the results of the performance for the proposed algorithm.

Suggested Citation

  • June-Seok Lee & Kyo Beum Lee, 2013. "Variable DC-Link Voltage Algorithm with a Wide Range of Maximum Power Point Tracking for a Two-String PV System," Energies, MDPI, vol. 6(1), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:1:p:58-78:d:22539
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    Citations

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    Cited by:

    1. Shahrooz Hajighorbani & Mohd Amran Mohd Radzi & Mohd Zainal Abidin Ab Kadir & Suhaidi Shafie & Muhammad Ammirrul Atiqi Mohd Zainuri, 2016. "Implementing a Novel Hybrid Maximum Power Point Tracking Technique in DSP via Simulink/MATLAB under Partially Shaded Conditions," Energies, MDPI, vol. 9(2), pages 1-25, January.
    2. Ali Q. Al-Shetwi & Walid K. Issa & Raed F. Aqeil & Taha Selim Ustun & Hussein M. K. Al-Masri & Khaled Alzaareer & Maher G. M. Abdolrasol & Majid A. Abdullah, 2022. "Active Power Control to Mitigate Frequency Deviations in Large-Scale Grid-Connected PV System Using Grid-Forming Single-Stage Inverters," Energies, MDPI, vol. 15(6), pages 1-21, March.
    3. Kyunghwan Choi & Kyung-Soo Kim & Seok-Kyoon Kim, 2019. "Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer," Energies, MDPI, vol. 12(8), pages 1-14, April.
    4. Po-Chen Cheng & Bo-Rei Peng & Yi-Hua Liu & Yu-Shan Cheng & Jia-Wei Huang, 2015. "Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique," Energies, MDPI, vol. 8(6), pages 1-23, June.
    5. Jian Zhao & Xuesong Zhou & Youjie Ma & Yiqi Liu, 2017. "Analysis of Dynamic Characteristic for Solar Arrays in Series and Global Maximum Power Point Tracking Based on Optimal Initial Value Incremental Conductance Strategy under Partially Shaded Conditions," Energies, MDPI, vol. 10(1), pages 1-23, January.
    6. Shahrooz Hajighorbani & Mohd Amran Mohd Radzi & Mohd Zainal Abidin Ab Kadir & Suhaidi Shafie, 2015. "Dual Search Maximum Power Point (DSMPP) Algorithm Based on Mathematical Analysis under Shaded Conditions," Energies, MDPI, vol. 8(10), pages 1-31, October.
    7. Chun-Liang Liu & Jing-Hsiao Chen & Yi-Hua Liu & Zong-Zhen Yang, 2014. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 7(4), pages 1-17, April.

    More about this item

    Keywords

    multi string; PV system; MPPT;
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