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  • High-Level Renewable Energy Integrated System Frequency Control with SMES-Based Optimized Fractional Order Controller

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    Hossain484160-Published.pdf (7.562Mb)
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    Version of Record (VoR)
    Author(s)
    Alam, Md Shafiul
    Alotaibi, Majed A
    Alam, Md Ahsanul
    Hossain, Md Alamgir
    Shafiullah, Md
    Al-Ismail, Fahad Saleh
    Rashid, Md Mamun Ur
    Abido, Mohammad A
    Griffith University Author(s)
    Hossain, Md. Alamgir
    Year published
    2021
    Metadata
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    Abstract
    The high-level penetration of renewable energy sources (RESs) is the main reason for shifting the conventional centralized power system control paradigm into distributed power system control. This massive integration of RESs faces two main problems: complex controller structure and reduced inertia. Since the system frequency stability is directly linked to the system’s total inertia, the renewable integrated system frequency control is badly affected. Thus, a fractional order controller (FOC)-based superconducting magnetic energy storage (SMES) is proposed in this work. The detailed modeling of SMES, FOC, wind, and solar ...
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    The high-level penetration of renewable energy sources (RESs) is the main reason for shifting the conventional centralized power system control paradigm into distributed power system control. This massive integration of RESs faces two main problems: complex controller structure and reduced inertia. Since the system frequency stability is directly linked to the system’s total inertia, the renewable integrated system frequency control is badly affected. Thus, a fractional order controller (FOC)-based superconducting magnetic energy storage (SMES) is proposed in this work. The detailed modeling of SMES, FOC, wind, and solar systems, along with the power network, is introduced to facilitate analysis. The FOC-based SMES virtually augments the inertia to stabilize the system frequency in generation and load mismatches. Since the tuning of FOC and SMES controller parameters is challenging due to nonlinearities, the whale optimization algorithm (WOA) is used to optimize the parameters. The optimized FOC-based SMES is tested under fluctuating wind and solar powers. The extensive simulations are carried out using MATLAB Simulink environment considering different scenarios, such as light and high load profile variations, multiple load profile variations, and reduced system inertia. It is observed that the proposed FOC-based SMES improves several performance indices, such as settling time, overshoot, undershoot compared to the conventional technique.
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    Journal Title
    Electronics
    Volume
    10
    Issue
    4
    DOI
    https://doi.org/10.3390/electronics10040511
    Copyright Statement
    © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Electrical engineering
    Science & Technology
    Physical Sciences
    Computer Science, Information Systems
    Publication URI
    http://hdl.handle.net/10072/404687
    Collection
    • Journal articles

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