Energy Self-Sufficiency and Low-Carbon Dispatch Strategy for Offshore Islands Using an Improved Grey Wolf Optimizer

Ocean islands, rich in renewable energy, face challenges in energy transfer due to isolation. This paper proposes a low-carbon dispatch strategy for distant islands, integrating shared hydrogen storage (SHS) and short-term hydrogen storage (STHS) into a comprehensive framework with hydrogen fuel cell ship (HFCS) transportation. The model aims to minimize operational and carbon costs while maximizing energy self-sufficiency. Using an improved Grey Wolf Optimizer (IGWO) with Differential Evolution, the strategy reduces hydrogenation costs by 21.4% and peak-valley differences by 16%, demonstrating its effectiveness in enhancing energy self-sufficiency and reducing emissions.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1109/acpee64358.2025.11041043
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Energy Self-Sufficiency and Low-Carbon Dispatch Strategy for Offshore Islands Using an Improved Grey Wolf Optimizer

Chung‐Cheng Lu, Yirui Wang, Shuang Zhou, Siguang Zheng
Energy Load and Power Forecasting
article

Energy Self-Sufficiency and Low-Carbon Dispatch Strategy for Offshore Islands Using an Improved Grey Wolf Optimizer

Chung‐Cheng Lu, Yirui Wang, Shuang Zhou, Siguang Zheng
article en

Abstract

Ocean islands, rich in renewable energy, face challenges in energy transfer due to isolation. This paper proposes a low-carbon dispatch strategy for distant islands, integrating shared hydrogen storage (SHS) and short-term hydrogen storage (STHS) into a comprehensive framework with hydrogen fuel cell ship (HFCS) transportation. The model aims to minimize operational and carbon costs while maximizing energy self-sufficiency. Using an improved Grey Wolf Optimizer (IGWO) with Differential Evolution, the strategy reduces hydrogenation costs by 21.4% and peak-valley differences by 16%, demonstrating its effectiveness in enhancing energy self-sufficiency and reducing emissions.

North China Electric Power University (CN), Tianjin University (CN), Wuhan University (CN)
Climate action
Openalex Percentile: Top 87%
Energy Load and Power Forecasting
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