Simulation. Optimization. Validation.
Bridging PowerFactory models and field reality to drive grid resilience and renewable integration.
Cloud-Native Grid Automation
Serverless pipelines and Digital Twins for Redispatch 3.0.
Serverless Grid Compliance Pipeline
New 2026Traditional grid studies are manual. This pipeline triggers physics-based simulations automatically via AWS S3 & Lambda, enabling "Cloud-Bursting" for massive scenario analysis without on-premise hardware.
Problem
Traditional studies are manual, slow, and hard to scale for compliance-heavy planning.
Solution
Traditional grid studies are manual. This pipeline triggers physics-based simulations automatically via AWS S3 & Lambda, enabling "Cloud-Bursting" for massive scenario analysis without on-premise hardware.
Impact
Faster scenario throughput and stronger Redispatch readiness using cloud-native execution.
$ aws lambda invoke --function vde4110-check
> INIT: Loading Pandapower Engine...
> INGEST: Downloaded 'berlin_grid_v2.json' from S3
> PHYSICS: Running Newton-Raphson Power Flow...
> CHECK: VDE-AR-N 4110 Compliance
[ALERT] Voltage Violation at Bus 42 (0.88 p.u.)
> ACTION: Violation logged to DynamoDB
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Hybrid Grid Control Engine (CIM)
Interoperability layer for standards-based grid data exchange.
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Hybrid Grid Control Engine (CIM)
Interoperability layer for standards-based grid data exchange.
<cim:Terminal rdf:ID="Term_45A">
<cim:Terminal.ConductingEquipment
rdf:resource="#Trafo_Berlin_1"/>
<cim:ACDCTerminal.connected>true</...>
</cim:Terminal>
<!-- Interoperability Layer -->
Hybrid Grid Control Engine (CIM)
ResearchGerman TSOs rely on the Common Information Model (CIM) for data exchange. This engine demonstrates the ability to parse complex XML grid definitions and apply custom control logic, solving the interoperability challenge.
Problem
Grid data often lives in fragmented formats that block automation and interoperability.
Solution
German TSOs rely on the Common Information Model (CIM) for data exchange. This engine demonstrates the ability to parse complex XML grid definitions and apply custom control logic, solving the interoperability challenge.
Impact
Portable, machine-readable models reduce vendor lock-in and improve toolchain compatibility.
Kinangop Wind Power Integration
A dynamic voltage stability analysis incorporating Kinangop wind power into Kenya's 59-bus national grid.
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Kinangop Wind Power Integration
A dynamic voltage stability analysis incorporating Kinangop wind power into Kenya's 59-bus national grid.
Key Lesson
This project taught me that resilience isn't just for power lines—it's for people's access to vital services. The systemic thinking I developed here now informs how I approach SaaS architecture and load balancing.
View Case StudyKinangop Wind Power Integration
CriticalA dynamic voltage stability analysis incorporating Kinangop wind power into Kenya's 59-bus national grid.
Problem
Kenya's power grid needed to accommodate the intermittent nature of wind power while maintaining system stability. The challenge was ensuring that voltage fluctuations from wind generation wouldn't destabilize the entire network serving millions of Kenyans.
Solution
I developed a comprehensive dynamic voltage stability analysis using DIgSILENT PowerFactory, modeling the entire power system to simulate and mitigate voltage fluctuations. This wasn't just a technical task; it was about ensuring reliable power for healthcare, education, and economic development.
Impact
Delivered stable integration strategy for 60MW wind while improving voltage profile under stress.
My Role & Timeline
- Power Systems Analyst
- Grid Stability Modeling Lead
- Technical Report Author
- System Modeling: 4 months (2015)
- Simulation & Analysis: 3 months
- Documentation: 1 month
Improved Grid Stability
Clean Energy Integrated
Households Benefited
Ready to Build Something Impactful?
Let's combine technical excellence with purpose-driven innovation to create solutions that truly matter. Whether it's optimizing EV networks or automating grid compliance, I am ready to help.