Modeling and Control of a Photovoltaic-hydrogenbattery microgrid by Energetic Macroscopic Representation

This paper proposed a macroscopic Energetic Macroscopic Representation (EMR) model for integrated photovoltaic-hydrogen-battery systems to address the challenges of intermittency and grid instability in renewable energy utilization. By establishing a multi-energy coupling model, the study explores the dynamic interactions between the subsystems. In addition, considering the operation states of electrolyzer and battery, a control strategy is suggested to achieve effective energy management for the hybrid system and simulation results demonstrate that the proposed system can efficiently utilize PV generation while enhancing the operational efficiency of the electrolyzer.

Authors

Institutions

Publication Details

Published
2025-07-25
DOI
https://doi.org/10.1109/aceee66257.2025.11148814
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling and Control of a Photovoltaic-hydrogenbattery microgrid by Energetic Macroscopic Representation

Fei Guan, Zhengyong Chen, Jie Shu, Zetao Ma et al.
Hybrid Renewable Energy Systems
article

Modeling and Control of a Photovoltaic-hydrogenbattery microgrid by Energetic Macroscopic Representation

Fei Guan, Zhengyong Chen, Jie Shu, Zetao Ma, Lingjie Meng, Rongjun Xi, Kang Bie, Shuo Tian
article en

Abstract

This paper proposed a macroscopic Energetic Macroscopic Representation (EMR) model for integrated photovoltaic-hydrogen-battery systems to address the challenges of intermittency and grid instability in renewable energy utilization. By establishing a multi-energy coupling model, the study explores the dynamic interactions between the subsystems. In addition, considering the operation states of electrolyzer and battery, a control strategy is suggested to achieve effective energy management for the hybrid system and simulation results demonstrate that the proposed system can efficiently utilize PV generation while enhancing the operational efficiency of the electrolyzer.

Zhejiang University of Science and Technology (CN), State Grid Corporation of China (China) (CN), Chinese Academy of Sciences (CN), China Electric Equipment Group (China) (CN), Guangzhou Institute of Energy Conversion (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 74%
Hybrid Renewable Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Modeling and Control of a Photovoltaic-hydrogenbattery microgrid by Energetic Macroscopic Representation — Fei Guan, Zhengyong Chen, et al. · (2025) | TGRS Research Map | TGRS