Hierarchical Flexibility Aggregation of Heterogeneous Demand-Side Energy Storages for Secondary Frequency Regulation

Demand-side energy storages (DESs), such as household batteries and electric vehicles (EVs), have shown great potential in providing fast frequency regulation services. This paper proposes a three-layer hierarchical flexibility aggregation framework to fully evaluate and reliably realize the aggregate flexibility of heterogeneous DESs for secondary frequency regulation (SFR). At the device layer, the regulation capacity of an individual DES is modeled as a two-dimensional feasible region, with the real-time state-of-charge (SoC) constraint and the statistical features of regulation signals well considered. On this basis, heterogeneous DESs are divided into several clusters according to the geometry of their feasible region. At the cluster layer, regulation capacity, dynamic response model as well as regulation costs are efficiently aggregated within each DES cluster by prototype-based maximum inner approximation (MIA). At the aggregator layer, an analytical expression of the multi-cluster coordinated SFR flexibility can be formulated by convex optimizations at each feasible operating point, which provides a comprehensive model for DES aggregators to economically participate in SFR. Comparative simulations validate that the proposed method can accurately capture the aggregate SFR flexibility of heterogeneous DESs with lower flexibility loss and affordable computational burden, while the disaggregation feasibility of aggregate flexibility is further demonstrated using real-world regulation signals.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2025-06-19
DOI
https://doi.org/10.1109/tste.2025.3581203
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical Flexibility Aggregation of Heterogeneous Demand-Side Energy Storages for Secondary Frequency Regulation

Peixuan Wu, Chao Lü, Di Liu, Songyan Zhang et al.
1 citations
IEEE Transactions on Sustainable Energy
Smart Grid Energy Management
0.73
article

Hierarchical Flexibility Aggregation of Heterogeneous Demand-Side Energy Storages for Secondary Frequency Regulation

Peixuan Wu, Chao Lü, Di Liu, Songyan Zhang, Jianxin Zhang
article en
1 citations

Abstract

Demand-side energy storages (DESs), such as household batteries and electric vehicles (EVs), have shown great potential in providing fast frequency regulation services. This paper proposes a three-layer hierarchical flexibility aggregation framework to fully evaluate and reliably realize the aggregate flexibility of heterogeneous DESs for secondary frequency regulation (SFR). At the device layer, the regulation capacity of an individual DES is modeled as a two-dimensional feasible region, with the real-time state-of-charge (SoC) constraint and the statistical features of regulation signals well considered. On this basis, heterogeneous DESs are divided into several clusters according to the geometry of their feasible region. At the cluster layer, regulation capacity, dynamic response model as well as regulation costs are efficiently aggregated within each DES cluster by prototype-based maximum inner approximation (MIA). At the aggregator layer, an analytical expression of the multi-cluster coordinated SFR flexibility can be formulated by convex optimizations at each feasible operating point, which provides a comprehensive model for DES aggregators to economically participate in SFR. Comparative simulations validate that the proposed method can accurately capture the aggregate SFR flexibility of heterogeneous DESs with lower flexibility loss and affordable computational burden, while the disaggregation feasibility of aggregate flexibility is further demonstrated using real-world regulation signals.

IEEE Transactions on Sustainable EnergyVol. 17(1)
China Southern Power Grid (China) (CN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 27%
Smart Grid Energy Management
0.73
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.