Advanced energy management scheme for fuel cell-based microgrid using self–regulated controller and switched capacitor inverter

Clean energy production is now the main challenge for sustainable future which can be addressed by introducing renewable energy sources. Fuel cells are critical in providing sustainable energy solutions by enabling efficient energy conversion in microgrids. To enhance the performance of fuel cell-based microgrids, advanced controllers and inverters are necessary to manage power quality and stability. One of the key benefits of this fuel cell is the separation of energy conversion and management, which allows independent optimization for each function of microgrid's performance, cost, or other installation considerations. The ability to individually control of each component of a microgrid can significantly impact various applications positively. Beyond their technological and economic advantages, fuel cells are highly sensitivity to microgrid's characteristics such as current quality and harmonics which creates difficulties for their design and management. Therefore, the entire microgrid must be managed by an effective energy management strategy and integration of advanced inverter topologies. This study aims to improve fuel cell efficiency and power quality within the microgrid through an advanced energy management (AEM) strategy. The proposed AEM structure is developed focusing on two key components: a self-regulated controller (SRC) and a switched capacitor multilevel inverter (SCMLI). These elements work together to mitigate the disturbances and enhance the power quality of the system. The methodology includes simulation and hardware-in-the-loop (HIL) testing under non-linear load conditions. Initial grid-side current total harmonic distortion (THD) of 28.38% was reduced to 2.19% through the proposed system. An impact analysis is also presented to demonstrates that reducing current harmonics and voltage imbalance have improved the efficiency of fuel cell to 50.18% and fuel utilization to 98.05%. The findings show that the proposed scheme significantly reduces current harmonics and improves the overall performance benchmark of the microgrid and fuel cell. • An advanced energy management (AEM) is proposed for fuel cell-based microgrid. • A self-regulated controller (SRC) is utilized to reduce computational burden. • Power quality is improved utilizing a 7-level switched capacitor multilevel inverter. • Fuel cell's performance is improved due to improved power quality of the system.

Authors

Institutions

Publication Details

Journal
International Journal of Hydrogen Energy
Published
2024-10-13
DOI
https://doi.org/10.1016/j.ijhydene.2024.10.085
Citations
16
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
5.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced energy management scheme for fuel cell-based microgrid using self–regulated controller and switched capacitor inverter

Sheikh Tanzim Meraj, Rajvikram Madurai Elavarasan, Hieu Trinh, Molla Shahadat Hossain Lipu et al.
16 citations
International Journal of Hydrogen Energy
Microgrid Control and Optimization
5.25
article

Advanced energy management scheme for fuel cell-based microgrid using self–regulated controller and switched capacitor inverter

Sheikh Tanzim Meraj, Rajvikram Madurai Elavarasan, Hieu Trinh, Molla Shahadat Hossain Lipu, Md Mahmudul Hasan, G.M. Shafiullah, Samson S. Yu
article en
16 citations

Abstract

Clean energy production is now the main challenge for sustainable future which can be addressed by introducing renewable energy sources. Fuel cells are critical in providing sustainable energy solutions by enabling efficient energy conversion in microgrids. To enhance the performance of fuel cell-based microgrids, advanced controllers and inverters are necessary to manage power quality and stability. One of the key benefits of this fuel cell is the separation of energy conversion and management, which allows independent optimization for each function of microgrid's performance, cost, or other installation considerations. The ability to individually control of each component of a microgrid can significantly impact various applications positively. Beyond their technological and economic advantages, fuel cells are highly sensitivity to microgrid's characteristics such as current quality and harmonics which creates difficulties for their design and management. Therefore, the entire microgrid must be managed by an effective energy management strategy and integration of advanced inverter topologies. This study aims to improve fuel cell efficiency and power quality within the microgrid through an advanced energy management (AEM) strategy. The proposed AEM structure is developed focusing on two key components: a self-regulated controller (SRC) and a switched capacitor multilevel inverter (SCMLI). These elements work together to mitigate the disturbances and enhance the power quality of the system. The methodology includes simulation and hardware-in-the-loop (HIL) testing under non-linear load conditions. Initial grid-side current total harmonic distortion (THD) of 28.38% was reduced to 2.19% through the proposed system. An impact analysis is also presented to demonstrates that reducing current harmonics and voltage imbalance have improved the efficiency of fuel cell to 50.18% and fuel utilization to 98.05%. The findings show that the proposed scheme significantly reduces current harmonics and improves the overall performance benchmark of the microgrid and fuel cell. • An advanced energy management (AEM) is proposed for fuel cell-based microgrid. • A self-regulated controller (SRC) is utilized to reduce computational burden. • Power quality is improved utilizing a 7-level switched capacitor multilevel inverter. • Fuel cell's performance is improved due to improved power quality of the system.

International Journal of Hydrogen EnergyVol. 90
Deakin University (AU), Murdoch University (AU), Universiti Teknologi Petronas (MY), Green University of Bangladesh (BD)
Deakin University, Australian Research Council
Affordable and clean energy
Openalex Percentile: Top 4%
Microgrid Control and Optimization
5.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.