Open Source Modelling and Simulation of Energy Systems 2026

Askar, A. (Participant)

Activity: Participating in or organising an event › Participating in a conference, workshop, ...

Description

Open Distribution System Model (ODSM) enables reproducible studies of distribution planning and operation, but utility-grade datasets are rarely shareable due to confidentiality, heterogeneity across grid projects, and excessive model details. This paper documents the creation workflow of an anonymized ODSM derived from a real distribution system. First, statistical feature sets are extracted from a large pool of medium-voltage (MV) and low-voltage (LV) grid models. Second, representative MV and LV subsets are selected using a k-d tree-guided nearest-neighbor search with an RMS-based objective and a stopping criterion. Third, the selected projects are programmatically assembled in DIgSILENT PowerFactory via Python, harmonizing libraries, naming, and georeferencing while preserving topology and steady-state behavior. Finally, a multi-stage aggregation algorithm reduces node and line counts for fast studies while maintaining electrical characteristics. The resulting full-size and aggregated ODSM variants are suited for education and research and provide a consistent basis for further chapters on advanced studies and applications.

Period	23 Mar 2026 → 25 Mar 2026
Event type	Conference
Location	Karlsruhe, GermanyShow on map
Degree of Recognition	International

UN SDGs

This activity contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

Keywords

Distribution System
Benchmark Model
Distribution System Modelling
Aggregation
Anonymization
Grid Reduction
Representative Sampling
Operating Envelopes

Documents & Links

Open Distribution System Model (ODSM) enables reproducible studies of distribution planning and operation, but utility-grade datasets are rarely shareable due to confidentiality, heterogeneity across grid projects, and excessive model details. This paper documents the creation workflow of an anonymized ODSM derived from a real distribution system. First, statistical feature sets are extracted from a large pool of medium-voltage (MV) and low-voltage (LV) grid models. Second, representative MV and LV subsets are selected using a k-d tree-guided nearest-neighbor search with an RMS-based objective and a stopping criterion. Third, the selected projects are programmatically assembled in DIgSILENT PowerFactory via Python, harmonizing libraries, naming, and georeferencing while preserving topology and steady-state behavior. Finally, a multi-stage aggregation algorithm reduces node and line counts for fast studies while maintaining electrical characteristics. The resulting full-size and aggregated ODSM variants are suited for education and research and provide a consistent basis for further chapters on advanced studies and applications.

Related content

Research output
Open Distribution System Model
Research output: Contribution to conference › Paper › peer-review

Activities
Open Source Modelling and Simulation of Energy Systems 2026 (Event)
Activity: Publication peer-review and editorial work › Publication Peer-review