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DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS

MAN MADE. MANMADE. DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS. WP2 Data Collation. F. Bono , E. Gutierrez. COLB, Budapest 21-22 of January 2008. Data flow architecture. Attributes of Data Types. Electrical grid disruptions. Time series.

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DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS

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  1. MANMADE MANMADE DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS WP2 Data Collation F. Bono, E. Gutierrez COLB, Budapest 21-22 of January 2008

  2. Data flow architecture

  3. Attributes of Data Types Electrical grid disruptions Time series Electricity markets • 21903 segments • 7174/1149 power stations • 20481 subs Electric grid Geo referenced grid • 25560 pipes • 308 storage facilities • 243 compressors Geo referenced pipelines Networks Gas Platts October 2007 datasets Urban streets maps 9 Street classes Urban • Metro lines • Railways Urban transports

  4. GIS gas transmission data pre-process Elimination of minor grids (network reduction) Original pipes dataset: 18981 lines Reduced pipes dataset: 2702 lines Network corrections • Local utilities’ maps comparison • Network visualization for connectivity errors detection

  5. Topological discrepancies UCTE map Kinfore Tealing Kincardine Kinfore GIS Plattsdataset Tealing Kincardine Tealing

  6. GIS vs Map definition UCTE Swiss Laufenburg substation Laufenburg substation Satellite GIS Geographical information system

  7. Generation of adjacency matrices 1. GIS data extraction 4. GIS import of weighted values 2. Network grid compilation(IDfrom, IDto, value) 3. Matlab and Pajek data import and processing

  8. Interconnected Networks GIS gas and electricity networks

  9. Urban Networks Milan 21553 nodes 30119 edges 18147 nodes 26221 edges Turin

  10. Available Datasests WP 2 datasets https://manmade.jrc.it • European electrical grid network • European gas pipelines network • Electricity NordPool Spot prices • Turin urban streets network • Milan urban streets network

  11. Future steps • High computational capacity (maximum matrix size) • Analysis of interconnected networks (gas and electricity) • Urban Streets networks graph networks analysis and comparison (Turin and Milan)

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