Executive Summary

Fleet BESS optimisation enables aggregators and utilities to maximise the combined revenue of multiple distributed batteries while respecting technical and grid constraints.

Why It Matters

Multiple small batteries are deployed across Greece and Europe.

Individually optimised batteries leave money on the table.

Fleet-level optimisation ensures maximum revenue and compliance with grid codes.

Mathematical Formulation

Decision variables: P^ch_{i,t}, P^dis_{i,t}, SoC_{i,t}.

Constraints: SoC dynamics, capacity limits, power limits, feeder capacity.

Objective: Maximise Σ_{i,t} [ P^dis_{i,t}·price_t − P^ch_{i,t}·price_t − degradation cost ].

Use Cases

Virtual power plants (VPPs)

Aggregators bidding into DAM/IDA

Utilities managing distributed assets

Quantum Optima Positioning

Quantum Optima provides hybrid quantum-classical optimisation capable of scaling to thousands of assets. This ensures future readiness when classical LPs become insufficient.