Measurement-Informed Dynamic Aggregation of Distribution Systems

K. I. Ahmed; Y. Wu; J. Dong; J. Tan; M. U. Afzaal; Y. Liu

doi:10.1109/SGSMA65955.2026.11618874

Measurement-Informed Dynamic Aggregation of Distribution Systems

K. I. Ahmed
, Y. Wu
, J. Dong
, J. Tan
, M. U. Afzaal
, Y. Liu

Power Systems Engineering

Oak Ridge National Laboratory
University of Tennessee, Knoxville

Research output: Contribution to conference › Paper

Abstract

This paper proposes a measurement-informed dynamic aggregation methodology in order to create equivalent representations of distribution systems that are compatible with large-scale transmission analysis. By optimizing an equivalent feeder parameters using time-series measurements of active power, reactive power, and voltage at the Transmission & Distribution (T&D) interface point, the approach yields simplified yet dynamically accurate equivalents. Implemented in PSCAD with models of photovoltaic-battery systems, three-phase motors, and static loads, the method employs hybrid differential evolution and bounded least-squares optimization laying the foundation for for real-time state estimation and optimized sensor placement in distribution networks.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/SGSMA65955.2026.11618874
State	Published - 2026
Event	The 5th International Conference on Smart Grid Synchronized Measurements and Analytics - Santiago de Chile, Chile Duration: 1 Jun 2026 → 4 Jun 2026

Conference

Conference	The 5th International Conference on Smart Grid Synchronized Measurements and Analytics
City	Santiago de Chile, Chile
Period	1/06/26 → 4/06/26

NLR Publication Number

NLR/CP-5D00-98637

Keywords

distributed energy resource (DER) integration
distribution aggregation
dynamic equivalent
parameter optimization
T&D co-simulation

Access to Document

10.1109/SGSMA65955.2026.11618874

Cite this

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title = "Measurement-Informed Dynamic Aggregation of Distribution Systems",

abstract = "This paper proposes a measurement-informed dynamic aggregation methodology in order to create equivalent representations of distribution systems that are compatible with large-scale transmission analysis. By optimizing an equivalent feeder parameters using time-series measurements of active power, reactive power, and voltage at the Transmission \& Distribution (T\&D) interface point, the approach yields simplified yet dynamically accurate equivalents. Implemented in PSCAD with models of photovoltaic-battery systems, three-phase motors, and static loads, the method employs hybrid differential evolution and bounded least-squares optimization laying the foundation for for real-time state estimation and optimized sensor placement in distribution networks.",

keywords = "distributed energy resource (DER) integration, distribution aggregation, dynamic equivalent, parameter optimization, T\&D co-simulation",

author = "Ahmed, \{K. I.\} and Y. Wu and J. Dong and J. Tan and Afzaal, \{M. U.\} and Y. Liu",

year = "2026",

doi = "10.1109/SGSMA65955.2026.11618874",

language = "American English",

note = "The 5th International Conference on Smart Grid Synchronized Measurements and Analytics ; Conference date: 01-06-2026 Through 04-06-2026",

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TY - CONF

T1 - Measurement-Informed Dynamic Aggregation of Distribution Systems

AU - Ahmed, K. I.

AU - Wu, Y.

AU - Dong, J.

AU - Tan, J.

AU - Afzaal, M. U.

AU - Liu, Y.

PY - 2026

Y1 - 2026

N2 - This paper proposes a measurement-informed dynamic aggregation methodology in order to create equivalent representations of distribution systems that are compatible with large-scale transmission analysis. By optimizing an equivalent feeder parameters using time-series measurements of active power, reactive power, and voltage at the Transmission & Distribution (T&D) interface point, the approach yields simplified yet dynamically accurate equivalents. Implemented in PSCAD with models of photovoltaic-battery systems, three-phase motors, and static loads, the method employs hybrid differential evolution and bounded least-squares optimization laying the foundation for for real-time state estimation and optimized sensor placement in distribution networks.

AB - This paper proposes a measurement-informed dynamic aggregation methodology in order to create equivalent representations of distribution systems that are compatible with large-scale transmission analysis. By optimizing an equivalent feeder parameters using time-series measurements of active power, reactive power, and voltage at the Transmission & Distribution (T&D) interface point, the approach yields simplified yet dynamically accurate equivalents. Implemented in PSCAD with models of photovoltaic-battery systems, three-phase motors, and static loads, the method employs hybrid differential evolution and bounded least-squares optimization laying the foundation for for real-time state estimation and optimized sensor placement in distribution networks.

KW - distributed energy resource (DER) integration

KW - distribution aggregation

KW - dynamic equivalent

KW - parameter optimization

KW - T&D co-simulation

U2 - 10.1109/SGSMA65955.2026.11618874

DO - 10.1109/SGSMA65955.2026.11618874

M3 - Paper

T2 - The 5th International Conference on Smart Grid Synchronized Measurements and Analytics

Y2 - 1 June 2026 through 4 June 2026

ER -

Measurement-Informed Dynamic Aggregation of Distribution Systems

Abstract

Conference

NLR Publication Number

Keywords

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Cite this