Integrated Storage System Operations
Enhance energy storage through data collection, AI-driven analysis for optimal scheduling, and automated system adjustments, boosting efficiency and grid stability.
Solution
- Gather operational data on energy prices, demand forecasts, grid conditions, weather for renewable integration, and battery health.
- Forecast energy prices, anticipate demand fluctuations, assess grid stability, and evaluate battery health.
- Send commands to battery management systems based on AI recommendations.
- Monitor the battery's state, grid stability, and market prices, adjusting operations accordingly.
Results
- Allows analysis and operations of compatible/alternative business models as price arbitrage, curtailment avoiding, and providing ancillary services.
- Grid reliability. Enhance response to peak demand and load variations.
- Economic efficiency. Optimize battery usage to align with energy market prices.
- Market participation. Improve competitiveness with enhanced price forecasting and battery management.
- Resilience. Ensure continuity by employing flexible and responsive storage systems.
- Sustainability. Facilitate renewable integration through efficient energy storage management.