Power Systems Engineer • Grid Digital Twin Specialist • IEEE Best Paper Award Winner
🎓 M.Sc. Engineering (2026) | 📍 Berlin, Germany 🇩🇪
I engineer production-grade grid digital twins and real-time control architectures supporting Germany's energy transition (Energiewende). My work bridges power systems physics with high-throughput computing, specialized in real-time automation, VDE-AR-N 4110 compliance, and stochastic grid validation.
"Building the infrastructure for Germany's renewable energy future, one validated simulation at a time."
- 🥇 IEEE ETECOM 2025 Best Paper Award — Intelligent Transportation Systems Track (Fuzzy Multi-Objective EV Grid Optimization)
- 🔋 Production Grid Digital Twin — Real-time physics engine with
<50msloop and 50Hz grid compliance - 📊 Stochastic Robustness Testing — Monte Carlo validation (
$n=50$ ) with autoregressive$\text{AR}(1)$ uncertainty modeling
| Standard / Framework | Competency Level | Application & Context |
|---|---|---|
| VDE-AR-N 4110 | Expert | German medium-voltage technical connection rules & compliance validation |
| IEC 61850 | Advanced (Hands-on) | Digital substations, bay controllers, protection coordination & HVDC automation |
| IEC 61970 (CIM) | Advanced | Common Information Model, grid topology exchange, semantic data modeling |
| Modbus / DNP3 | Proficient | Legacy SCADA telemetry and industrial edge integration |
🔍 IEC 61850 Competency Breakdown
- 🔹 Logical Nodes:
XCBR(Circuit Breaker),MMXU(Measurement Units),PDIS(Distance Protection),ZRCT(HVDC Rectifier) - 🔹 Communication Protocols: MMS (Client-Server SCADA), GOOSE (Peer-to-Peer trip signals
<4ms), SV (Sampled Values on process bus) - 🔹 System Architecture: Station bus & process bus engineering, bay controller integration, SCL (SCD/ICD/CID) configuration
- 🔹 Testing & Validation: Protocol packet inspection with Wireshark, automated conformance scripts, and libIEC61850 integration
Production-grade digital twin demonstrating VDE-AR-N 4110 and §14a EnWG compliance with validated real-time execution.
- ⏱️ Real-Time Streaming Engine:
<50msphysics loop guaranteed, meeting 50Hz grid-compliant execution. - 🚀 High-Throughput Validation: Benchmarked at 56M ops/sec throughput on x86_64 Linux.
- 🎛️ Multi-Strategy Controller Benchmarking: Rigorous comparison across Hard Cutoff, Linear Droop, and Fuzzy Logic controllers.
- 🎲 Monte Carlo Robustness:
$n=50$ simulation runs with autoregressive$\text{AR}(1)$ uncertainty modeling. - 📐 Physics Validation: Full AC power flow, voltage stability margin, and thermal loading analysis via Pandapower.
- 🛡️ Production Quality: Complete CI/CD suite with
pytest,mypystrict type checking, and containerized Docker runs.
Electric Vehicle Charging Infrastructure Optimization in Berlin: A Fuzzy Multi-Objective Framework for Robust Deployment Under Uncertainty
IEEE ETECOM 2025 Conference • Best Paper Award Winner
🔗 View Publication on ORCID | 💻 Source Code:Prof-it/geo-spatial-Berlin-EVC-placementTools & Methodologies:
NSGA-II Multi-Objective Optimization•GeoPandas•Pymoo•Folium•Python
- 🎯 Target Roles: Power Systems Engineer, Grid Automation Specialist, Digital Twin Engineer, Real-Time Systems Developer
- 📍 Location: Berlin, Germany (EU Work Authorization)
- 🎓 Graduation: First half of 2026 (M.Sc. Engineering)
- 📬 Get in Touch: ondiekiclifford05@gmail.com • LinkedIn • Portfolio
