A critical review of scenario-adaptive energy storage strategies for distribution networks in urban, rural and extreme environments

Energy storage systems (ESS) play a multifunctional role in power systems, with distribution network-side energy storage (DNES) serving as an indispensable component connecting the distribution station directly. While the significance of DNES is widely recognized, existing research remains fragmented across various application scenarios, lacking a systematic summarization. This paper presented a comprehensive review of ESS specifically for the distribution station, classifying DNES strategies into three distinct scenarios, including urban, rural, and extreme disaster scenarios. Through detailed analysis of previous studies, the paper examined DNES configuration methods from technical, economic and environmental perspectives, and investigated operation strategies from time, spatial and user aspects. Coupling mechanisms between ESS and renewable energy sources were also reviewed, while the impact analysis of DNES was conducted. This study implements specific energy storage solutions for different distribution network scenarios, which is of great significance for the development of resilient and sustainable power distribution systems. • Distribution network-side energy storage methods in various scenarios are reviewed. • Various storage strategies are concluded for urban, rural and extreme scenarios. • Challenges across various scenarios are summarized to guide different applications.

Authors

Institutions

Publication Details

Journal
Journal of Energy Storage
Published
2026-04-07
DOI
https://doi.org/10.1016/j.est.2026.121977
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A critical review of scenario-adaptive energy storage strategies for distribution networks in urban, rural and extreme environments

Hongyang Li, Siyu Guo, Jingwen Chen, Ziyu Wang
Journal of Energy Storage
Optimal Power Flow Distribution
article

A critical review of scenario-adaptive energy storage strategies for distribution networks in urban, rural and extreme environments

Hongyang Li, Siyu Guo, Jingwen Chen, Ziyu Wang
article en

Abstract

Energy storage systems (ESS) play a multifunctional role in power systems, with distribution network-side energy storage (DNES) serving as an indispensable component connecting the distribution station directly. While the significance of DNES is widely recognized, existing research remains fragmented across various application scenarios, lacking a systematic summarization. This paper presented a comprehensive review of ESS specifically for the distribution station, classifying DNES strategies into three distinct scenarios, including urban, rural, and extreme disaster scenarios. Through detailed analysis of previous studies, the paper examined DNES configuration methods from technical, economic and environmental perspectives, and investigated operation strategies from time, spatial and user aspects. Coupling mechanisms between ESS and renewable energy sources were also reviewed, while the impact analysis of DNES was conducted. This study implements specific energy storage solutions for different distribution network scenarios, which is of great significance for the development of resilient and sustainable power distribution systems. • Distribution network-side energy storage methods in various scenarios are reviewed. • Various storage strategies are concluded for urban, rural and extreme scenarios. • Challenges across various scenarios are summarized to guide different applications.

Journal of Energy StorageVol. 162
North China Electric Power University (CN)
National Natural Science Foundation of China, Department of Education of Hebei Province, Natural Science Foundation of Hebei Province, National University's Basic Research Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 9%
Optimal Power Flow Distribution
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.