Resilience Analysis of a National Power-Distribution Network
Overview
What this challenge is about.
Receive an anonymized topology of the medium-voltage network (4,200 nodes, 4,800 edges, each edge with capacity + age + redundancy flag). Build the network in NetworkX, compute baseline metrics (algebraic connectivity, average path length, k-core decomposition). Simulate 3 failure regimes: random component failure, targeted attack on high-betweenness edges, and storm-correlated failure (geographic clusters). Identify the top 40 edges whose hardening yields the largest expected resilience uplift. Translate into a 5-year investment-prioritization recommendation with cost estimates per edge class. Deliver: NetworkX model + repo, 10-page simulation report, 12-page investment memo.
The Brief
What you'll do, and what you'll demonstrate.
Identify the 40 highest-leverage edges to harden in a 4,200-node medium-voltage network using graph-theoretic resilience simulation.
Earning criteria — what you'll demonstrate
- Model a real infrastructure network with NetworkX
- Run targeted, random, and correlated failure simulations
- Compute resilience uplift per candidate hardening intervention
- Translate graph-theoretic results into utility-investment language
Program Fit
Where this fits in your program.
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Skills
Skills you'll demonstrate.
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Roles this prepares you for.
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