Wind turbine grid integration simulation
PowerWorld-based study of cost-aware turbine placement and routing that improved overall system efficiency by up to 40%.
Role: Graduate student — Belhaven University (MS), 2024
Stack: PowerWorld Simulator, power systems modeling
// Highlights
- Modeled integration of a new turbine into an existing grid topology.
- Optimized right-of-way routing to multiple substations to reduce wire and material cost.
- Compared placement scenarios to favor energy efficiency without hand-wavy assumptions.
// Problem
Adding renewable capacity without a disciplined simulation baseline risks expensive routing choices and suboptimal injection points.
// Approach
Built PowerWorld scenarios that explored routing and placement trade-offs, scoring each for cost drivers and steady-state efficiency outcomes.
// Outcome
Identified a placement and routing pattern that materially improved overall system efficiency while keeping infrastructure spend disciplined.
// AI & orchestration
Grid changes require a defensible baseline; scenario comparisons must be explicit to avoid biasing toward a preferred outcome.
Pattern: Define scenarios → simulate steady-state outcomes → score trade-offs (cost vs efficiency) → document rationale for review.
// Technical notes
- Scenario matrices for comparing substation reach and congestion.
- Documentation suitable for academic review and stakeholder explanation.
// Metrics
Up to 40% efficiency improvement in modeled scenarios
Scenario matrix comparisons