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Adaptive power point tracking to meet restrictive electrical grid requirements

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Abstract

Power systems management has become a big challenge for the Transmission System Operator, especially after a large scale Renewable Energy Sources (RES) integration. In fact, research studies are much less concerned with increasing the power conversion efficiency for RES; their main concern today is rather to comply with the most restrictive grid codes. Indeed, the Maximum Power Point Tracking (MPPT) controller is no longer the priority for power systems dominated by RES. In this paper, the Adaptive Power Point Tracking (APPT) controller is proposed in order to meet restrictive power system requirements while optimizing the RES efficiency. It aims to ensure two main operation modes: (i) adjusting the RES output power during over-frequency events in order to ensure the Fast Frequency Response requirement, and (ii) maximizing the RES output power during normal conditions, which is equivalent to the MPPT operation mode. In this paper, The APPT controller is applied to Doubly-Fed-Induction-Generator based Wind Turbine. However, this controller can be applied to all the RES that are showing a maximum power point for certain parameters and operating conditions. The controller’s operation and performance are evaluated using MATLAB/Simulink environment.

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Abbreviations

APPT:

Adaptive power point tracking

FFR:

Fast frequency response

TSO:

Transmission system operator

RSO:

Reference speed optimizer

ROCOF:

Rate of change of frequency

MPPT:

Maximum power point tracking

RES:

Renewable energy sources

WT:

Wind turbine

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Authors and Affiliations

  1. Laboratoire des Sciences de l’Ingénieur & Biosciences (LSIB), Faculté des Sciences et Techniques, Hassan II University of Casablanca, BP 146, Mohammedia, Morocco

    Ismail Drhorhi & Abderrahim El Fadili

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  1. Ismail Drhorhi
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  2. Abderrahim El Fadili
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Correspondence to Ismail Drhorhi.

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Drhorhi, I., El Fadili, A. Adaptive power point tracking to meet restrictive electrical grid requirements. Energy Syst (2023). https://doi.org/10.1007/s12667-023-00567-2

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