Yes, OCPP 2.0.1 can be used to implement real-time power scheduling for individual AC chargers in a residential microgrid environment while maintaining ISO 15118 Plug & Charge compliance and session continuity without cloud connectivity using Saha-Edge’s edge-AI capabilities.
How OCPP 2.0.1 Enables Local Power Management
OCPP 2.0.1 introduces enhanced messaging capabilities that allow chargers to dynamically adjust power output based on local energy availability and grid conditions. In a residential microgrid, this means an AC charger can receive real-time updates about available solar generation or battery storage levels directly from the local energy management system. The protocol supports granular control over charging rates, enabling chargers to respond instantly to fluctuations in power supply without requiring constant cloud communication.
This functionality is particularly valuable for homes with rooftop solar panels and home batteries. When solar production exceeds consumption, the system can increase charging power to utilize excess energy. Conversely, during low production periods, charging can be reduced or paused to prevent grid import. The protocol’s flexibility allows these adjustments to be made at the individual charger level, supporting both centralized and distributed control strategies.
Edge-AI Integration for Autonomous Operation
Saha-Edge’s edge computing platform enables chargers to make autonomous decisions based on local conditions, removing the need for continuous cloud connectivity. The system uses AI algorithms to predict energy availability and optimize charging schedules based on historical patterns and real-time sensor data. This approach ensures that charging sessions remain uninterrupted even when network connectivity is lost, maintaining session continuity for users.
For example, a residential microgrid with multiple AC chargers can use Saha-Edge to coordinate charging across devices based on real-time energy availability. The edge platform can learn from past charging behavior and adjust power allocation to maximize renewable energy usage while ensuring vehicles are charged according to user preferences. This local intelligence allows the system to respond faster than cloud-based solutions and reduces latency in power scheduling decisions.
Related Reading
For more on related topics, see: OCPP 2.0.1 Dynamic Power Adjustment During Session.
Further reading: EV Charging Energy Management | OCPP Smart Charging CMS | Tecell India
📣 Join our Telegram channel for EV charging technology insights and product updates.
Also find us on: LinkedIn · X · Bluesky · Mastodon · DEV.to.