Implementation of Fuzzy PID Controller to an Isolated Wind/Battery/Super Magnetic Energy Storage Power System

An eco-friendly standalone microgrid is demonstrated in this article. It has an energy storage system (ESS), a superconducting magnetic energy storage system (SMES), and a wind power generator. Usually, microgrid control and energy management are challenging issues when designing microgrids. Hence, introducing fuzzy control concepts enhances the performance of the recommended microgrid. Wind and ESS energy are normally suitable for satisfying load demands under normal circumstances. However, the SMES supports the microgrid’s transient performance against load demand disturbances. The newly designed fuzzy proportion integral derivative (FPID) controller was used to measure the microgrid’s behavior subjected to fluctuations in wind power and load demand. Simulations via Matlab/Simulink were performed to assess the suggested system’s performance. The simulations’ outcomes established that the introduced microgrid continuously energizes the load demand with AC power during all interruptions with a regulated frequency and voltage. Furthermore, the microgrid operated excellently despite changing wind power and load. The results have been examined under identical conditions with and without SMES using the FPID controller and then compared to the proportional integral derivative (PID). Hence, the suggested microgrid has been examined under four situations: FPID controller with SMES, PID controller with SMES, FPID controller without SMES, and PID controller without SMES. It was found that the microgrid with the proposed FPID controller and SMES produced the best microgrid performance and responses of all the tested situations. The proposed control system provides an average improvement in overshoot, about 24.4%. Also, it is discovered that the suggested controller can precisely maintain the microgrid response stable under any disturbances, notwithstanding the modeling errors. Additionally, the TI C2000 Launchpad XL, TMS320F28379D microcontroller kit was used to create a Hardware-In-the-Loop (HIL) emulator in order to assess the suggested system and verify the simulation outcomes.

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Publication Details

Journal
Processes
Published
2025-02-12
DOI
https://doi.org/10.3390/pr13020515
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
2.43
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article

Implementation of Fuzzy PID Controller to an Isolated Wind/Battery/Super Magnetic Energy Storage Power System

Khaled Saleem S. Alatawi, Sherif Ahmed Zaid
2 citations
Processes
Microgrid Control and Optimization
2.43
article

Implementation of Fuzzy PID Controller to an Isolated Wind/Battery/Super Magnetic Energy Storage Power System

Khaled Saleem S. Alatawi, Sherif Ahmed Zaid
article en
2 citations

Abstract

An eco-friendly standalone microgrid is demonstrated in this article. It has an energy storage system (ESS), a superconducting magnetic energy storage system (SMES), and a wind power generator. Usually, microgrid control and energy management are challenging issues when designing microgrids. Hence, introducing fuzzy control concepts enhances the performance of the recommended microgrid. Wind and ESS energy are normally suitable for satisfying load demands under normal circumstances. However, the SMES supports the microgrid’s transient performance against load demand disturbances. The newly designed fuzzy proportion integral derivative (FPID) controller was used to measure the microgrid’s behavior subjected to fluctuations in wind power and load demand. Simulations via Matlab/Simulink were performed to assess the suggested system’s performance. The simulations’ outcomes established that the introduced microgrid continuously energizes the load demand with AC power during all interruptions with a regulated frequency and voltage. Furthermore, the microgrid operated excellently despite changing wind power and load. The results have been examined under identical conditions with and without SMES using the FPID controller and then compared to the proportional integral derivative (PID). Hence, the suggested microgrid has been examined under four situations: FPID controller with SMES, PID controller with SMES, FPID controller without SMES, and PID controller without SMES. It was found that the microgrid with the proposed FPID controller and SMES produced the best microgrid performance and responses of all the tested situations. The proposed control system provides an average improvement in overshoot, about 24.4%. Also, it is discovered that the suggested controller can precisely maintain the microgrid response stable under any disturbances, notwithstanding the modeling errors. Additionally, the TI C2000 Launchpad XL, TMS320F28379D microcontroller kit was used to create a Hardware-In-the-Loop (HIL) emulator in order to assess the suggested system and verify the simulation outcomes.

ProcessesVol. 13(2)
University of Tabuk (SA)
Openalex Percentile: Top 13%
Microgrid Control and Optimization
2.43
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