Achieving Long-duration Power Balance in Renewable-dominated Power Systems: Challenges and Optimization Strategies

Amidst global efforts to achieve carbon neutrality, the large-scale integration of renewable energy into power grids has highlighted the critical challenge of long-duration power imbalances, stemming from the inherent variability of renewable sources over extended periods and posing significant threats to grid stability. This paper provides a comprehensive review of current research on addressing long-duration balance in renewable-dominated power systems, identifying key challenges in the stochastic long-term fluctuations of renewable energy generation and strategies to mitigate these imbalances. To address these challenges, we propose a comprehensive research framework encompassing four dimensions: modeling and analysis of long-duration uncertainties in renewable energy; development of a unified methodology for modeling Long-Duration Energy Storage (LDES) in power system planning; simulation of power system operations considering long-duration balance; and strategic integration of long-duration flexibility resources into optimization and planning processes. Each of these domains is examined in depth, providing detailed insights into their critical research components. By addressing the key challenges and proposing actionable solutions, this study provides a systematic foundation for advancing long-duration balance in renewable-dominated power systems, contributing to the sustainable and reliable operation of future energy infrastructures.

Authors

Institutions

Publication Details

Journal
Current Sustainable/Renewable Energy Reports
Published
2026-03-04
DOI
https://doi.org/10.1007/s40518-025-00285-6
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Achieving Long-duration Power Balance in Renewable-dominated Power Systems: Challenges and Optimization Strategies

Yufei Wang, Yuejun Luo, Yuchen Fang, Xiwei Fu et al.
Current Sustainable/Renewable Energy Reports
Integrated Energy Systems Optimization
article

Achieving Long-duration Power Balance in Renewable-dominated Power Systems: Challenges and Optimization Strategies

Yufei Wang, Yuejun Luo, Yuchen Fang, Xiwei Fu, Ershun Du, Yubin Fu, Haiyang Jiang, Jianpei Han
article en

Abstract

Amidst global efforts to achieve carbon neutrality, the large-scale integration of renewable energy into power grids has highlighted the critical challenge of long-duration power imbalances, stemming from the inherent variability of renewable sources over extended periods and posing significant threats to grid stability. This paper provides a comprehensive review of current research on addressing long-duration balance in renewable-dominated power systems, identifying key challenges in the stochastic long-term fluctuations of renewable energy generation and strategies to mitigate these imbalances. To address these challenges, we propose a comprehensive research framework encompassing four dimensions: modeling and analysis of long-duration uncertainties in renewable energy; development of a unified methodology for modeling Long-Duration Energy Storage (LDES) in power system planning; simulation of power system operations considering long-duration balance; and strategic integration of long-duration flexibility resources into optimization and planning processes. Each of these domains is examined in depth, providing detailed insights into their critical research components. By addressing the key challenges and proposing actionable solutions, this study provides a systematic foundation for advancing long-duration balance in renewable-dominated power systems, contributing to the sustainable and reliable operation of future energy infrastructures.

Current Sustainable/Renewable Energy ReportsVol. 13(1)
Shanghai Electric (China) (CN), Tsinghua University (CN)
State Grid Corporation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Integrated Energy Systems Optimization
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.