Hierarchical Coordinated Automatic Generation Control Involving Distributed Energy Resources: An Aggregation Approach

The distributed energy resources (DERs) need to provide ancillary services due to their increasing penetration level in distribution networks (DNs). This paper proposes a hierarchically coordinated automatic generation control (AGC) scheme for the multi-level power grids, to facilitate the DERs to provide AGC service, while ensuring the operational security of the host DNs. Each DN is formulated as an individual AGC participating entity to reduce the computational and communication burden of the transmission system operator (TSO). The distribution system operator (DSO) aggregates its managed DER clusters as a whole, and evaluates the equivalent aggregation dynamic model as well as the regulation capacity. The regulation capacity is evaluated using an optimization program that consider device and network constraints, and prediction uncertainties. The aggregation dynamic model is estimated based on the curve-fitting, which represents the external power response characteristics of the DN as a second-order state-space model. In addition, P-Q affine regulation strategy is employed to coordinate frequency and voltage control. The active and reactive power commands are simultaneously allocated to DER clusters to eliminate voltage violations arising from providing AGC services. Case studies conducted on a multi-level power grid verify the effectiveness and scalability of the proposed method.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2024-11-07
DOI
https://doi.org/10.1109/tsg.2024.3493124
Citations
13
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
2.71

Funders

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

Hierarchical Coordinated Automatic Generation Control Involving Distributed Energy Resources: An Aggregation Approach

Yukang Shen, Wenchuan Wu, Qi Wang, Sun Li et al.
13 citations
IEEE Transactions on Smart Grid
Frequency Control in Power Systems
2.71
article

Hierarchical Coordinated Automatic Generation Control Involving Distributed Energy Resources: An Aggregation Approach

Yukang Shen, Wenchuan Wu, Qi Wang, Sun Li, Wei Teng
article en
13 citations

Abstract

The distributed energy resources (DERs) need to provide ancillary services due to their increasing penetration level in distribution networks (DNs). This paper proposes a hierarchically coordinated automatic generation control (AGC) scheme for the multi-level power grids, to facilitate the DERs to provide AGC service, while ensuring the operational security of the host DNs. Each DN is formulated as an individual AGC participating entity to reduce the computational and communication burden of the transmission system operator (TSO). The distribution system operator (DSO) aggregates its managed DER clusters as a whole, and evaluates the equivalent aggregation dynamic model as well as the regulation capacity. The regulation capacity is evaluated using an optimization program that consider device and network constraints, and prediction uncertainties. The aggregation dynamic model is estimated based on the curve-fitting, which represents the external power response characteristics of the DN as a second-order state-space model. In addition, P-Q affine regulation strategy is employed to coordinate frequency and voltage control. The active and reactive power commands are simultaneously allocated to DER clusters to eliminate voltage violations arising from providing AGC services. Case studies conducted on a multi-level power grid verify the effectiveness and scalability of the proposed method.

IEEE Transactions on Smart GridVol. 16(2)
Tsinghua University (CN)
State Grid Corporation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 9%
Frequency Control in Power Systems
2.71
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.