Fuzzy Controllers Based BMS with Multiport DC to DC Converter for DC Microgrid

This research addresses the challenge of ensuring stable energy management in DC microgrids powered by diverse renewable sources. The primary objective is to develop a robust Battery Energy Management System (BEMS) integrated with a multiport DC-to-DC converter to efficiently manage renewable energy inputs and maintain system stability. A shared DC bus connects a solar facility, wind power plant, and battery bank, with a Takagi-Sugeno Fuzzy controller governing the multiport converter. This controller ensures consistent voltage regulation and optimal system performance under varying conditions, such as fluctuating wind speeds, solar irradiance, and load demands. The methodology incorporates Maximum Power Point Tracking (MPPT) for renewable inputs and effective battery coordination. The results, demonstrated using OPAL-RT modules in diverse operational scenarios, validate the approach's efficiency. This study advances the understanding of DC microgrid energy management and provides a scalable solution for sustainable and reliable power supply systems.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/spies63782.2024.10983321
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Fuzzy Controllers Based BMS with Multiport DC to DC Converter for DC Microgrid

Utkal Ranjan Muduli, Mohamed Shawky El Moursi, Khalifa Al Hosani, Ahmed Al‐Durra
Microgrid Control and Optimization
article

Fuzzy Controllers Based BMS with Multiport DC to DC Converter for DC Microgrid

Utkal Ranjan Muduli, Mohamed Shawky El Moursi, Khalifa Al Hosani, Ahmed Al‐Durra
article en

Abstract

This research addresses the challenge of ensuring stable energy management in DC microgrids powered by diverse renewable sources. The primary objective is to develop a robust Battery Energy Management System (BEMS) integrated with a multiport DC-to-DC converter to efficiently manage renewable energy inputs and maintain system stability. A shared DC bus connects a solar facility, wind power plant, and battery bank, with a Takagi-Sugeno Fuzzy controller governing the multiport converter. This controller ensures consistent voltage regulation and optimal system performance under varying conditions, such as fluctuating wind speeds, solar irradiance, and load demands. The methodology incorporates Maximum Power Point Tracking (MPPT) for renewable inputs and effective battery coordination. The results, demonstrated using OPAL-RT modules in diverse operational scenarios, validate the approach's efficiency. This study advances the understanding of DC microgrid energy management and provides a scalable solution for sustainable and reliable power supply systems.

Khalifa University of Science and Technology (AE)
Affordable and clean energy
Openalex Percentile: Top 62%
Microgrid Control and Optimization
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