Challenges

• Need for Profit-Optimized Scheduling

  Profitability of standalone ESS systems integrated with VPPs requires careful consideration of market price fluctuations

• Charging Limitations Due to Generation Constraints

  Charging must not exceed the available generation from other VPP-connected resources, necessitating accurate and constraint-aware charge scheduling

• Difficulty in Responding to Real-Time Market Changes

  When day-ahead and real-time markets are separated, ESS operating schedules must dynamically adjust to real-time price fluctuations.

• Limited Flexibility in Responding to Grid Operator Requests

  The system must respond flexibly to grid operator dispatch instructions, including requests to ramp VPP output up or down

Solutions

• Price Forecasting-Based Charge/Discharge Scheduling

  Predict renewable generation and demand to create AI-driven market price forecasts, in order to identify optimal charging schedules that maximize profit

• Charging Constraints Based on Generation Forecasts

  Leverage proprietary weather forecasts and AI engines to predict generation from VPP resources, and establish appropriate charging constraints

• Real-Time Rescheduling Based on Market Changes

  Dynamically adjust ESS schedules in real time in response to market price fluctuations.

• Flexible Operation in Response to Dispatch Instructions

  Monitor VPP output changes and dispatch instructions from the grid operator to automatically enable real-time operational adjustments and enhance flexibility

Applications & Benefits