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Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
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Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
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Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
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Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems
Journal Article

Optimal Electrolyzer Placement Strategy via Probabilistic Voltage Stability Assessment in Renewable-Integrated Distribution Systems

2025
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Overview
Stable operating conditions in electrolyzers are crucial for preserving system durability, ensuring highly pure hydrogen production, and enabling the sustainable utilization of surplus renewable electricity. However, in active distribution networks, the output uncertainty of distributed energy resources, such as renewable energy sources (RES) on the generation side and load demand side, can lead to voltage fluctuations that threaten the operational stability of electrolyzers and limit their contribution to a low-carbon energy transition. This paper proposes a novel framework for optimal electrolyzer placement, tailored to their operational requirements and to the planning of sustainable renewable-integrated distribution systems. First, probabilistic scenario generation is carried out for RES and load to capture the characteristics of their inherent uncertainties. Second, based on these scenarios, continuous power-flow-based P–V (power–voltage) curve analysis is conducted to evaluate voltage stability and identify the loadability and load margin for each bus. Finally, the optimal siting of electrolyzers is determined by analyzing the load margins obtained from the voltage stability assessment and deriving a probabilistic electrolyzer hosting capacity. A case study under various uncertainty scenarios examines how applying this method influences the ability to maintain acceptable voltage levels at each bus in the grid. The results indicate that the method can significantly improve the likelihood of stable electrolyzer operation, support the reliable integration of green hydrogen production into distribution networks, and contribute to the sustainable planning of other voltage-sensitive equipment.