ASC: an open-source tool for ancillary support estimation from distribution networks to upstream networks

Abstract This paper presents a Python-based tool designed for network service providers to estimate the frequency regulation and voltage support services available from the distribution networks to the upstream networks (e.g. transmission networks). The proposed tool includes a novel three-step time aggregation method to obtain representative profiles from historical time series data of loads, solar generation, wind generation, and the charging characteristics of electric vehicles. At first, the tool checks the security of distribution network considering its operating conditions. Then, it estimates available ancillary services, i.e. supports for voltage and frequency regulations, which can be provided in a safe manner for the upstream network. The performance of the designed tool has been evaluated using the real-world data from a network service provider in Australia.

Authors

Institutions

Publication Details

Journal
Electrical Engineering
Published
2026-09-01
DOI
https://doi.org/10.1007/s00202-026-03750-7
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

ASC: an open-source tool for ancillary support estimation from distribution networks to upstream networks

Rakibuzzaman Shah, Nima Amjady, Tan Nhat Pham, Syed Islam et al.
Electrical Engineering
Power System Optimization and Stability
article

ASC: an open-source tool for ancillary support estimation from distribution networks to upstream networks

Rakibuzzaman Shah, Nima Amjady, Tan Nhat Pham, Syed Islam, B. M. Ruhul Amin
article en

Abstract

Abstract This paper presents a Python-based tool designed for network service providers to estimate the frequency regulation and voltage support services available from the distribution networks to the upstream networks (e.g. transmission networks). The proposed tool includes a novel three-step time aggregation method to obtain representative profiles from historical time series data of loads, solar generation, wind generation, and the charging characteristics of electric vehicles. At first, the tool checks the security of distribution network considering its operating conditions. Then, it estimates available ancillary services, i.e. supports for voltage and frequency regulations, which can be provided in a safe manner for the upstream network. The performance of the designed tool has been evaluated using the real-world data from a network service provider in Australia.

Electrical EngineeringVol. 108(9)
Federation University (AU), Ho Chi Minh City International University (VN), South Metropolitan Technical and Further Education (AU)
Federation University Australia
Affordable and clean energy
Openalex Percentile: Top 20%
Power System Optimization and Stability
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.