Highly Efficient MPPT Technique Using Model Predictive Control
编号:52 访问权限:私有 更新:2023-06-12 13:42:24 浏览:399次 口头报告

报告开始:2023年06月18日 16:00(Asia/Shanghai)

报告时间:20min

所在会场:[S] Oral Session [S5] Oral Session 8 & Oral Session 11

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摘要
Maximum power point tracking (MPPT) is a requirement in photovoltaic (PV) systems to improve and boost the efficiency. Therefore, this paper presents an improved MPPT method based on model predictive control (MPC) for a boost converter PV system. The MPPT-based MPC provides a fast transient behavior compared to the conventional methods. Thus, it is employed in this study, where a modified version of the perturb and observe (P&O) method is developed, in which additional control loops are added to the original one to decrease its ripple content at steady-state and improve its divergent behavior at transient-state. Consequently, the efficiency of the whole control algorithm is increased. Then, the MPC algorithm receives the reference from the modified P&O, and based on the cost function design, the optimal switching signal is obtained and sent directly to the switch without the need for modulators, which further simplifies the overall control method. The system is tested at different atmospheric conditions to prove its superiority in comparison with the traditional MPC method.
关键词
PV systems, MPPT, MPC, P&O
报告人
Ahmed Mostafa
Technical University of Munich

Mostafa Ahmed was born in Qena, Egypt. He received the B.Sc.(Hons.) and M.Sc. degrees in electrical engineering from Assiut University, Assiut, Egypt, in 2010 and 2015, respectively. He is currently working toward the Ph.D. degree at the Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), Munich, Germany. He received a highly prestigious scholarship from the German Academic Exchange Service (DAAD) within the program “German-Egyptian Research Long Term Scholarship (GERLS)” to pursue the Ph.D. degree at the Technical University of Munich, Germany. He serves as a Reviewer for several leading IEEE/IET journals. His research interests include renewable energy systems, modeling of photovoltaic systems, MPPT, predictive control of power electronics converters, and sensorless control of photovoltaic systems.

Harbi Ibrahim

Abdelrahem Mohamed

Jose Rodriguez
Universidad San Sebastian

Kennel Ralph

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重要日期
  • 会议日期

    06月16日

    2023

    06月19日

    2023

  • 06月15日 2023

    报告提交截止日期

  • 07月02日 2023

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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