Open Source Data and Models for a Sustainable Power Grid Modelling and Analysis
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1 DLR.de/VE Chart 1 Open Source Data and Models for a Sustainable Power Grid Modelling and Analysis Dr. Wided Medjroubi, Dr. Thomas Vogt 08 August 2017 International Conference on Large-Scale Grid Integration of Renewable Energy in India DLR Institute of Networked Energy Systems
2 DLR.de/VE Chart 2 Outline Motivation The SciGRID project OpenStreetMap Power Data in OpenStreetMap Results & Applications the SciGRID: Germany India Conclusion & Outlook
3 DLR.de/VE Chart 3 Motivation Lack of models and (geo-referenced) data of the power (transmission) network Restrictive, no-clear license terms of available datasets Little information available on how network models are derived: Data sources and quality Aggregation methods Simplifications and assumptions Data parameters (ex. Electrical properties) Difficulty validating and/or comparing modelling results Restrictive (re)-use of models and data (ex. publication, sharing, cooperation) The process of collecting data is endlessly repeated
4 DLR.de/VE Chart 4 SciGRID Project SciGRID: Open Source Reference Model of European Transmission Networks for Scientific Analysis Individual project supported by BMBF (10/ /2017) Motivation: Providing robust open data and models of the European transmission power grid for the energy research community Objectives: Development of an open source model Providing data, tools and documentation Directed towards scientific analysis
5 DLR.de/VE Chart 5 What is OpenStreetMap? A voluntary map of the world Founded in 2004 in the UK by S. Cost The most extensive geo-database in the world Includes geo-referenced objects and their features (XML-Format) Freely accessible under the Open Database Licence (ODbL) Open source tools to download and process data are available
6 DLR.de/VE Chart 6 Data Structure in OpenStreetMap node way relation <-tags-> <-tags->
7 DLR.de/VE Chart 7 Data Structure in OpenStreetMap node way relation
8 DLR.de/VE Chart 8 Power Transmission Datasets in OSM node way relation node id = lat = lon = power = tower user=* timestamp=*... Source: Fotolia / Erwin Wodicka, 2012
9 DLR.de/VE Chart 9 Power Transmission Datasets in OSM node way relation node id = lat = lon = power = tower user=* timestamp=*... way id = nd ref = power = line user = * timestamp = *... Source: Fotolia / Erwin Wodicka, 2012 Source: Pitopia / Pehuka, 2013
10 DLR.de/VE Chart 10 Power Transmission Datasets in OSM node way relation node id = lat = lon = power = tower user=* timestamp=*... way id = nd ref = power = line user = * timestamp = *... relation id Member type=way id= role=line... route = power user = * timestamp = *... Source: Fotolia / Erwin Wodicka, 2012 Source: Pitopia / Pehuka, 2013 Source:
11 DLR.de/VE Chart 11 Power Transmission Datasets in OSM
12 DLR.de/VE Chart 12 Overview of the SciGRID Model openstreetmap.org raw data Geo-boundaries Relational databank OSM-raw data post-processing Derivation of power network Power network abstraction Definition of model simplifications Model source-code and data Power network visualization Model and data documentation Characterization of (power) network models Validation of the SciGRID model and data Conversion tools to power flow tools
13 DLR.de/VE Chart 13 SciGRID Project Results Project results Open source reference model including the source code Technical documentation Converters to power flow simulation software (PYPSA, PyPOWER, MATPOWER) Validation and verification Scientific publications International scientific conference 2017 Project web-page Example applications/studies Characterization of the German transmission network Network comparison tool
14 DLR.de/VE Chart 14 SciGRID Model: Germany Data timestamp:
15 DLR.de/VE Chart 15 SciGRID Model: India Data timestamp:
16 DLR.de/VE Chart 16 Application Example: Characterization of the German Transmission Network using SciGRID Datasets Derivation of the German transmission network 454 nodes and 826 lines Computation of structural properties Comparison with the US network 4941 nodes and 6594 lines Decomposition of the German network into 13 clusters after removing links with highest betweeness centrality. Modularity and rescaled nb of clusters as a function of removed links. Source: Matke, et al. "Structure Analysis of the German Transmission Network Using the Open Source Model SciGRID." Advances in Energy System Optimization. Birkhäuser, Cham, (2017).
17 DLR.de/VE Chart 17 Application Example: Heuristic Modelling of Transmission Networks: GridKit Lack of relations data coverage for Europe Heuristic approach in modelling transmission networks GridKit DE: 1849 (454) nodes, 2166 (826) lines Extension of SciGRID to EU countries Example of simplification in GridKit. Comparison of the SciGRID and GridKit transmission network for Germany. GridKit network topology for the French transmission network compared to ENTSO-E map. Source: B. Wiegmans, Master Thesis (2015). Modelling approach in GridKit.
18 DLR.de/VE Chart 18 Application Example: Automated Comparison Tool for Transmission Network Datasets: AutoGridComp Comparison and characterization of power grid datasets Towards validating open source power network datasets Influence of model derivation on resulting model topology Offers 3 characterization layers AutoGridComp characterization of power networks. Source: W. Heittkötter, Master Thesis (2017). Vertices with highest clustering coefficient for SciGRID and GridKit datasets. Graphical interface of the AutoGridComp plugin.
19 DLR.de/VE Chart 19 Conclusion New challenges in the energy sector due to increasing shares of RES Energy modelling and analysis in general and power grid modelling in particular are necessary and need to be transparent Increasing importance of detailed modelling transmission networks Reliable, transparent and open models and data of transmission networks needed BUT access to existing models and data is restricted Heuristic approach in modelling transmission networks SciGRID: based on free and open source OpenStreetMap data and models, offers new possibilities SciGRID: applied to India is promising as OpenStreetMap power dataset is available
20 DLR.de/VE Chart 20 Outlook How to apply SciGRID to India? Characterization of the OpenStreetMap power datasets Cleaning, correcting and enhancing OpenStreetMap power datasets Encourage mapping of power elements and features in OpenStreetMap Adapting the algorithms and tools to the specificities of the Indian transmission network
21 DLR.de/VE Chart 21 Thank you for your attention
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