An Optimal Fuzzy Logic Sliding Mode Voltage Regulation DC-grid System for Hybrid Electric Ships with FC-Battery Energy Storage System

Adel Elgammal and Tagore Ramlal
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Adel Elgammal: The University of Trinidad and Tobago UTT, Trinidad and Tobago
Tagore Ramlal: The University of Trinidad and Tobago UTT, rinidad and Tobago

European Journal of Energy Research, 2023, vol. 3, issue 2, 21-27

Abstract: This work proposes a fuzzy logic sliding mode control based on MOPSO optimization to increase voltage stability, particularly during load variations, while also combining FC-battery storage systems. The controller makes advantage of the converters' existing capabilities to reduce voltage fluctuations and improve system efficiency in a number of ship operating modes, including transient loads, without the need for additional equipment like as DC choppers or passive/active filters. By minimising voltage variation under load fluctuations and other influencing variables, the MOPSO develops control orders to manage load distribution among the FC and DG battery storage systems. The suggested control approach is compared to traditional sliding mode and PI controllers in terms of performance. According to the findings, the novel approach can improve battery power smoothing, steady state voltage management, and stable and speedy control performance.

Keywords: Fuzzy logic; sliding mode control; hybrid electrical ship (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:epw:energy:v:3:y:2023:i:2:id:7124

DOI: 10.24018/ejenergy.2023.3.2.124

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