Chanced-Constrained Rolling-Horizon Optimization for the Green Hydrogen Microgrid System Operation

In this paper, we introduce the problems with long-term period optimization of green hydrogen microgrid system operation and variability inherent in renewable energy. To solve the problems, we proposed a Rolling-Horizon Optimization(RHO) with Chanced-Constrained Optimization(CCO). The validity of our approach is confirmed by comparative analysis with conventional Mixed-Integer Linear Programming(MILP) scheduling by using real PV generation data.

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Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902740
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Chanced-Constrained Rolling-Horizon Optimization for the Green Hydrogen Microgrid System Operation

Minhan Yoon, Ha-yeong Cho, Jae‐Hyung Lee, Ho-Jun Lee
Hybrid Renewable Energy Systems
article

Chanced-Constrained Rolling-Horizon Optimization for the Green Hydrogen Microgrid System Operation

Minhan Yoon, Ha-yeong Cho, Jae‐Hyung Lee, Ho-Jun Lee
article en

Abstract

In this paper, we introduce the problems with long-term period optimization of green hydrogen microgrid system operation and variability inherent in renewable energy. To solve the problems, we proposed a Rolling-Horizon Optimization(RHO) with Chanced-Constrained Optimization(CCO). The validity of our approach is confirmed by comparative analysis with conventional Mixed-Integer Linear Programming(MILP) scheduling by using real PV generation data.

Kwangwoon University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 68%
Hybrid Renewable Energy Systems
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