Abstract
Hybrid microgrid (HMG) is a small-scale power system consisting of distribution generations (DGs) and loads operating as one controllable unit with regards to grid. It gives advantages such as reliable power supply, lesser carbon emission, environmental friendly, etc. Nevertheless, incorporating DGs with the HMG brings challenges such as power quality problems. This issue leads to distortion of power supply, equipment failure, memory loss, overheating, and so on. Battery energy systems (BESS) are commonly used to tackle this problem by smoothening the power in the HMG. Moreover, the BESS require a robust control approach for efficient and fast operation. Therefore, this manuscript proposes a fractional order proportional-integral-derivative (FOPID) controller to enhance the power quality of a HMG including wind turbine, aqua electrolyzer, fuel cell, load and BESS. Due to the computational simplicity of genetic algorithm (GA), it is employed to tune the gains of the FOPID. The efficacy of the presented scheme is highlighted via MAT-LAB/SIMULINK simulations. Finally, a comparative study is provided to show the efficacy of the GA-FOPID compared to an existing method.
| Original language | English |
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| Title of host publication | 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665433396 |
| DOIs | |
| State | Published - 2021 |
Publication series
| Name | 2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 |
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Bibliographical note
Publisher Copyright:© 2021 IEEE
Keywords
- Power quality
- aqua electrolyzer
- battery energy storage system
- fractional order PID
- fuel cell
- genetic algorithm
- wind turbine
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
