Electrical3rd Year
Smart Grid Load Balancer
Simulation-based load distribution model with a live dashboard.
Case Study
Problem Statement
Uneven load distribution across a power grid causes overloading on some feeders while others stay underutilized, reducing overall grid efficiency.
Our Solution
A simulation models multiple loads and feeders, and a balancing algorithm redistributes load in real time based on live demand, visualized on a dashboard showing before/after distribution.
Features
- ✓Multi-feeder load simulation with adjustable demand inputs
- ✓Load-balancing algorithm (priority + threshold based)
- ✓Live dashboard showing load percentage per feeder
- ✓Overload alert visualization
- ✓Exportable simulation report
Technology Stack
PythonMATLAB/Simulink (optional)NumPyStreamlitMatplotlib
How It's Built
- 1
Simulation engine generates time-series demand per feeder
- 2
Balancing module reallocates load when a feeder crosses a safe threshold
- 3
Dashboard renders live feeder status and historical load charts
FAQ
Do I need real grid hardware?
No, this is a simulation-based project, which is standard and accepted for this topic at the undergraduate level.