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Control Algorithm for Aggregated Energy Assets

Real-time system for monitoring and activating physical power units to reach capacity setpoints across portfolios — delivering 33% of target capacity within 500ms, 86% within 700ms, and achieving full stability within 3 seconds.

Built a real-time control platform that aggregates distributed heating and energy assets — each with varying power capacities — into coordinated pools. The system maintains capacity delivery within regulatory tolerance bands, achieving full stability within seconds of activation. The control framework continuously evaluates device availability and operational constraints to ensure reliable activation while respecting safety limits and minimizing unnecessary device stress. The system maintains stable capacity delivery even in the presence of device variability or unexpected behavior, ensuring robust performance across distributed assets. The architecture supports concurrent operation across multiple portfolios of devices, dynamically coordinating available resources to meet target outputs under real-world operating conditions.

Professional Context

Tech Lead | VPP Systems Engineer at Bodil Energi

August 2024 – Present

Core Competences

Applied Skills

Mathematical Problem Solving

Engineering Expertise

Algorithms and Optimization Real-Time Algorithmic Control Performance-Critical Software Architecture Event-Driven Systems

Implementation Stack

TypeScript SQL / NoSQL Kubernetes / Docker MQTT