Considering the elasticity of the real networks, the components in the network have a redundant capacity against the load, such as power grids, traffic networks and so on. Moreover, the interaction strength between nodes is often different. This paper proposes a novel nonlinear model of cascade failure in weighted complex networks considering overloaded edges to describe the redundant capacity for edges and capture the interaction strength of nodes. We fill this gap by studying a nonlinear weighted model of cascade failure with overloaded edges over synthetic and real weighted networks. The cascading failure model is constructed for the firstmore »
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure
Abstract—It is well known that physical interdependencies exist
between networked civil infrastructures such as transportation
and power system networks. In order to analyze complex nonlinear
correlations between such networks, datasets pertaining to
such real infrastructures are required. However, such data are
not readily available due to their proprietary nature. This work
proposes a methodology to generate realistic synthetic power
distribution networks for a given geographical region. A network
generated in this manner is not the actual distribution system, but
its functionality is very similar to the real distribution network.
The synthetic network connects high voltage substations to
individual residential consumers through primary and secondary
distribution networks. Here, the distribution network is generated
by solving an optimization problem which minimizes the overall
length of the network subject to structural and power flow
constraints. This work also incorporates identification of long
high voltage feeders originating from substations and connecting
remotely situated customers in rural geographic locations while
maintaining voltage regulation within acceptable limits. The
proposed methodology is applied to the state of Virginia and
creates synthetic distribution networks which are validated by
comparing them to actual power distribution networks at the
same location.
Index Terms—synthetic distribution networks, radial networks,
Mixed Integer Linear Programming
- Publication Date:
- NSF-PAR ID:
- 10253373
- Journal Name:
- IEEE International Conference on Big Data
- Page Range or eLocation-ID:
- 1226 to 1235
- Sponsoring Org:
- National Science Foundation
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