A Improved Two-Layer Distributed Control Strategy for Energy Storage Units

The deployment of energy storage units (ESUs) aids in addressing the uncertainty associated with renewable energy generation. An existing control strategy for ESUs is the two-layer distributed control, where droop control strategy is implemented in the lower layer and a consensus strategy is adopted in the upper layer. However, the traditional droop control strategy always adopts a constant droop coefficient, which leads to the unbalanced SOCs of ESUs. The consensus strategy may cause a longer convergence time and steady-state error. This paper introduces an improved two-layer distributed control strategy. The first layer adopts an improved droop control strategy with adaptive droop coefficients, which can balance the SOCs of each ESU during both the charging and discharging processes. The second layer is based on the diffusion strategy, which employs a gradient strategy to achieve a higher convergence rate than the consensus strategy. Finally, simulations were conducted to verify the effectiveness of the proposed strategy.

Authors

Institutions

Publication Details

Published
2025-04-11
DOI
https://doi.org/10.1109/icgeps65133.2025.11034596
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Improved Two-Layer Distributed Control Strategy for Energy Storage Units

Ping Yang, Zejian Liu, Peng Zhang, X. H. Mo
Power Systems and Renewable Energy
article

A Improved Two-Layer Distributed Control Strategy for Energy Storage Units

Ping Yang, Zejian Liu, Peng Zhang, X. H. Mo
article en

Abstract

The deployment of energy storage units (ESUs) aids in addressing the uncertainty associated with renewable energy generation. An existing control strategy for ESUs is the two-layer distributed control, where droop control strategy is implemented in the lower layer and a consensus strategy is adopted in the upper layer. However, the traditional droop control strategy always adopts a constant droop coefficient, which leads to the unbalanced SOCs of ESUs. The consensus strategy may cause a longer convergence time and steady-state error. This paper introduces an improved two-layer distributed control strategy. The first layer adopts an improved droop control strategy with adaptive droop coefficients, which can balance the SOCs of each ESU during both the charging and discharging processes. The second layer is based on the diffusion strategy, which employs a gradient strategy to achieve a higher convergence rate than the consensus strategy. Finally, simulations were conducted to verify the effectiveness of the proposed strategy.

South China University of Technology (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 87%
Power Systems and Renewable Energy
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.

A Improved Two-Layer Distributed Control Strategy for Energy Storage Units — Ping Yang, Zejian Liu, et al. · (2025) | TGRS Research Map | TGRS