Performance analysis of PID and SMC for PEMFC-based grid integrated system using nine switch converter - A comparative study

Hydrogen fuel cells are gaining popularity as a reliable and efficient sustainable energy source. They have found uses in electric vehicles and microgrid applications. A grid-connected microgrid system with a 60 kW proton exchange membrane fuel cell (PEMFC) is proposed. A PEM fuel cell-based generating unit is studied, using a sliding mode controller (SMC) in the control scheme and a nine-switch converter (NSC) for the system integration. The NSC is used to integrate the FC system with the utility grid and controls the system's power flow. This study is focused on the performance evaluation of the proportional-integral-derivative (PID) and SMC controllers. The controllers' gains are tuned using an improved arithmetic optimization method (IAOA). The article also emphasizes improving system performance and stability by incorporating SMC in the control scheme. The suggested system is exposed to different source and load-side disturbances for performance evaluation. Matlab/Simulink is used to model the proposed system and validated by the real-time OPAL-RT 4510. • A novel concept of a nine-switch converter-based 60 kW PEMFC grid-connected system is proposed. • Linearized transfer functions used to analyze the system's stability using bode plots. • The performance of SMC is compared with conventional PID, and the prior one is found to be efficient enough. • Detailed design calculations for the proposed system are provided.

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Publication Details

Journal
Unconventional Resources
Published
2024-09-13
DOI
https://doi.org/10.1016/j.uncres.2024.100108
Citations
5
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
1.04
Controls
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article

Performance analysis of PID and SMC for PEMFC-based grid integrated system using nine switch converter - A comparative study

Kalpana Bijayeeni Samal, Swagat Pati, Renu Sharma
5 citations
Unconventional Resources
Multilevel Inverters and Converters
1.04
article

Performance analysis of PID and SMC for PEMFC-based grid integrated system using nine switch converter - A comparative study

Kalpana Bijayeeni Samal, Swagat Pati, Renu Sharma
article en
5 citations

Abstract

Hydrogen fuel cells are gaining popularity as a reliable and efficient sustainable energy source. They have found uses in electric vehicles and microgrid applications. A grid-connected microgrid system with a 60 kW proton exchange membrane fuel cell (PEMFC) is proposed. A PEM fuel cell-based generating unit is studied, using a sliding mode controller (SMC) in the control scheme and a nine-switch converter (NSC) for the system integration. The NSC is used to integrate the FC system with the utility grid and controls the system's power flow. This study is focused on the performance evaluation of the proportional-integral-derivative (PID) and SMC controllers. The controllers' gains are tuned using an improved arithmetic optimization method (IAOA). The article also emphasizes improving system performance and stability by incorporating SMC in the control scheme. The suggested system is exposed to different source and load-side disturbances for performance evaluation. Matlab/Simulink is used to model the proposed system and validated by the real-time OPAL-RT 4510. • A novel concept of a nine-switch converter-based 60 kW PEMFC grid-connected system is proposed. • Linearized transfer functions used to analyze the system's stability using bode plots. • The performance of SMC is compared with conventional PID, and the prior one is found to be efficient enough. • Detailed design calculations for the proposed system are provided.

Unconventional ResourcesVol. 5
Siksha O Anusandhan University (IN)
Affordable and clean energy
Openalex Percentile: Top 23%
Multilevel Inverters and Converters
1.04
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Performance analysis of PID and SMC for PEMFC-based grid integrated system using nine switch converter - A comparative study — Kalpana Bijayeeni Samal, Swagat Pati, et al. · Unconventional Resources (2024) | TGRS Research Map | TGRS