Artículo wiki · Colección 05

Programación Inteligente de Energía

Referencia técnica sobre Programación Inteligente de Energía para el diseño, integración e implementación de sistemas de energía inalámbrica.

6 minArtículo 11/14Control de Potencia con IA

Smart Energy Scheduling — educational diagram — Fig.: Diagrama educativo de “Smart Energy Scheduling”.

Smart energy scheduling sits above the power electronics: it decides which AGV/AMR receives charge now, which waits, and at what power cap given upstream breaker limits, on-site solar, or time-of-use pricing.

Wireless docks are fast to engage — scheduling leverage comes from knowing dwell time at station, next mission deadline, and state of charge across the fleet.

01Inputs to the scheduler

Mission queue and route ETA from fleet management software.
Per-vehicle SOC, battery health tier, and minimum departure energy.
Site power budget: main feed, phase balance, and shared transformer headroom.
Tariff windows, demand charges, and optional renewable availability forecasts.

Smart Energy Scheduling — supporting diagram — Fig.: Ilustración de apoyo para “Smart Energy Scheduling”.

02SiCore coordination

Docks expose controllable setpoints — max power, target SOC, pause/resume — over fleet APIs. The scheduler writes intentions; each dock's local controller enforces FOD, thermal, and battery-safe execution. Distributed control prevents a central outage from leaving robots unsafe on energized pads.

03Practical outcomes

Peak-shift robots get priority fast charge; idle units trickle during expensive rate periods. Multi-pad aisles load-balance so installing wireless does not trip facility breakers when every AMR returns for lunch simultaneously.