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Original scientific paper

https://doi.org/10.1080/00051144.2024.2329506

Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources

Yan Gu ; School of Mechanical Engineering, Nantong Institute of Technology, Nantong, People’s Republic of China *
Jianhua Sun ; School of Mechanical Engineering, Nantong Institute of Technology, Nantong, People’s Republic of China
Hesam Poloei ; Department of Electrical Engineering, Institute of Higher Education Non-profit University, Chalus, Iran

* Corresponding author.


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Abstract

Nowadays, intelligent control methods play an important role in the advancement of technology
and the human movement towards further evolution. The development of new frameworks for
power generation and distribution systems by designing a microgrid structure with economic
capabilities is one of these areas of progress. Therefore, this paper introduces a new practical
method for controlling the frequency of provisional microgrid and is able to cover the following
issues at the same time including (1) It considers the nonlinear model of provisional microgrid
which has a hybrid structure (AC and DC) in addition to renewable energy sources; (2) Introduces
a method for microgrid frequency control under different operational conditions that performs
based on the brain emotional learning; (3) Ensures the operation and applicability of the control
method for the provisional microgrid through implementation of FPGA for the first time; (4) Confirms the robustness of the proposed method under severe load changes and generation from
renewable sources. So, the effects of wind turbines and solar energy are considered in the simulation scenario and under the influence of various changes in load and system uncertainties, the
robustness and efficiency of the proposed method are well demonstrated.

Keywords

BELBIC method; provisional microgrid; solar energy; renewable energy; intelligent frequency control

Hrčak ID:

326260

URI

https://hrcak.srce.hr/326260

Publication date:

26.3.2024.

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