| Autor: |
Lalitha Sankar, Jiale Hu, Darakhshan J. Mir |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
Allerton |
| DOI: |
10.1109/allerton.2015.7447008 |
| Popis: |
Generating synthetic network graphs that capture key topological and electrical characteristics of real-world electric power systems is important in aiding widespread and accurate analysis of these systems. Classical statistical models of graphs, such as small-world networks or Erdős-Renyi graphs, are unable to generate synthetic graphs that accurately represent the topology of real electric power networks—they do not appropriately capture the highly dense local connectivity and clustering as well as sparse long-haul links observed in electric network graphs. This paper presents a model that parametrizes these unique topological properties of electrical power networks and introduces a new Cluster-and-Connect algorithm to generate synthetic networks using these parameters. Using a uniform set of metrics proposed in the literature, the accuracy of the proposed model is evaluated by comparing the synthetic models generated for specific real electric network graphs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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