Optimized Scheduling of Fisheries with Biomass and Photovoltaic Energy Storage

Under the stimulus of the “dual-carbon” initiative, traditional fisheries are rapidly evolving towards low-carbon, intelligent operations. This document elucidates an integrated energy optimization strategy for grid-side energy regulation, which amalgamates biogas production, photovoltaic generation, and sophisticated energy storage systems. By meticulously optimizing the capacities of power units, orchestrating control strategies, and refining storage policies, this methodology guarantees effective load management and fosters multi-energy convergence. This strategy not only curtails procurement expenses and alleviates operational pressures on the grid but also substantially augments the utilization of renewable resources, enhances system efficiency, and mitigates carbon emissions. Empirical simulation results corroborate that this strategy provides robust technical support and pragmatic guidance for the eco-conscious transformation of traditional fisheries.

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Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icgeps65133.2025.11034399
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
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Optimized Scheduling of Fisheries with Biomass and Photovoltaic Energy Storage

Guangdong Wang, Wei Zhou, Zhenlan Dou, Zhen Cai et al.
Hybrid Renewable Energy Systems
article

Optimized Scheduling of Fisheries with Biomass and Photovoltaic Energy Storage

Guangdong Wang, Wei Zhou, Zhenlan Dou, Zhen Cai, Jiayu Zhang, Chunyan Zhang, Hao Zhang
article en

Abstract

Under the stimulus of the “dual-carbon” initiative, traditional fisheries are rapidly evolving towards low-carbon, intelligent operations. This document elucidates an integrated energy optimization strategy for grid-side energy regulation, which amalgamates biogas production, photovoltaic generation, and sophisticated energy storage systems. By meticulously optimizing the capacities of power units, orchestrating control strategies, and refining storage policies, this methodology guarantees effective load management and fosters multi-energy convergence. This strategy not only curtails procurement expenses and alleviates operational pressures on the grid but also substantially augments the utilization of renewable resources, enhances system efficiency, and mitigates carbon emissions. Empirical simulation results corroborate that this strategy provides robust technical support and pragmatic guidance for the eco-conscious transformation of traditional fisheries.

Shanghai Electric (China) (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 87%
Hybrid Renewable Energy Systems
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Optimized Scheduling of Fisheries with Biomass and Photovoltaic Energy Storage — Guangdong Wang, Wei Zhou, et al. · (2025) | TGRS Research Map | TGRS