Automated correlation of power quality, protection, and topology data speeds fault diagnosis and reduces human error in power systems.
A heuristic-guided PPO framework selects remedial topologies and line recovery actions to keep power grids stable under uncertainty and attacks.
A UPS controller uses smart contracts and energy routing to turn stranded battery capacity into peak shaving, arbitrage, and backup power.
Distributed phase angle measurements with GPS-synced references improve AC grid load flow maps and reveal local overloads or imbalances.
Local electrical measurements, distributed state estimation, and blockchain storage improve transparent grid coordination and outage prevention.
Smart-contract UPS control routes stored energy to loads or the grid, turning stranded backup capacity into peak shaving and arbitrage.
Segmented backward-forward sweep algorithm calculates power flow in distribution grids by processing middle and low voltage sections independently.
Self-learning algorithms select optimal measuring points to reduce data transmission volume while maintaining network monitoring reliability.