Dispatch Optimization Algorithms
To capture maximum value across multiple electricity markets, a BESS requires sophisticated algorithmic dispatch. OPTIMUS employs advanced Mixed-Integer Linear Programming (MILP) and stochastic optimization to solve the complex 'revenue stacking' problem. The engine simultaneously evaluates day-ahead (DA) price forecasts, real-time (RT) market volatility, ancillary service commitments, and the physical constraints of the battery (e.g., State of Charge limits, thermal derating, and marginal cost of degradation). By simulating millions of permutations, our algorithms determine the absolute highest-value bid strategy for any given market interval.
Technical Overview
Proper assessment of dispatch optimization algorithms is critical for bankability and project finance. The OPTIMUS engine incorporates detailed physical models to evaluate the long-term impacts of operation.
Optimization Strategies
- •Mixed-Integer Linear Programming (MILP)
- •Stochastic Dynamic Programming
- •Rainflow-counting degradation modeling
- •Co-optimization of energy and reserves
- •Bid-ask spread forecasting