A long term grid vision that connects offshore generation, energy hubs and reinforced continental infrastructure.
PROFESSIONAL CONTRIBUTION · POWER SYSTEMS
Transmission grid stability decision support.
Collaborative software engineering for applications that evaluate controlled network contingencies and help specialists understand transmission system behaviour.
OPERATIONAL CONTEXT
Supporting stability across a complex transmission environment.
The project supports one of Europe’s leading electricity transmission operators, responsible for the Dutch high voltage grid and a substantial part of the German network.
As renewable generation, interconnection and operational complexity increase, engineering teams need dependable applications that convert network conditions into structured simulations and reviewable technical results.
Projected consumption could more than double across the Dutch and German energy systems.
Future scenarios anticipate a major expansion of generation capacity as electrification accelerates.
The planning context considers approximately 70 GW of offshore wind for each country.
Future planning context: Electricity grid plans for 2045. The map is a conceptual portfolio reconstruction, not an operational network diagram.
CONTINGENCY DRIVEN ANALYSIS
Controlled disturbances reveal how the system responds.
A contingency represents a defined change introduced into a network simulation. Rather than predicting an incident in isolation, the application evaluates the resulting system response under selected operating conditions.
A conceptual line outage tests how power flows redistribute through the remaining network.
A controlled generation loss helps reveal frequency and stability behaviour after an imbalance.
A simulated disturbance allows specialists to examine whether the system returns to an acceptable state.
The examples are general engineering scenarios and do not reproduce operational configurations or internal assessment criteria.
ANALYSIS WORKFLOW
From operational context to reviewable evidence.
- INPUTPrepare the operating scenario
Transform validated network information and a selected contingency into consistent simulation inputs.
- SIMULATIONEvaluate system response
Coordinate specialist tools that calculate behaviour during and after the controlled disturbance.
- REVIEWDeliver traceable results
Present structured outputs that specialists can verify, compare and use within established decision making processes.
ENGINEERING CONTRIBUTION
Software built within a multidisciplinary delivery environment.
My contribution covers the design, development, testing and deployment of application components across offline and online environments. The work connects software engineering with power system analysis, data preparation and operational requirements.
I also support integration with existing infrastructure and specialist simulation tools, validating datasets, inputs and outputs so that results remain accurate, reproducible and suitable for technical review.
CONTROL ROOM OF THE FUTURE
A more integrated environment for operational decision support.
CRoF brings grid data, network models, security assessment and decision support into a coordinated environment. Its purpose is to combine automation with human supervision as system complexity grows.
RELATED RESEARCH
Online assessment connects system behaviour with visual decision support.
Published research also explores data driven online assessment combined with spatial and temporal visualisation. This reinforces a central principle of the project: simulation output creates greater value when specialists can interpret system behaviour through structured and accessible evidence.
Explore related paperPROFESSIONAL REFLECTION
Engineering value emerges through collaboration and disciplined integration.
- WHAT I CONTRIBUTEDSoftware and integration
Application development, deployment support and validation across interconnected engineering environments.
- WHAT MADE IT COMPLEXOperational context
Every technical result depends on consistent data, specialist tools and coordinated interpretation across disciplines.
- WHAT IT STRENGTHENEDSystems thinking
The work expanded my ability to connect software decisions with power system behaviour and operational reliability.
TECHNICAL FOUNDATION
Tools supporting the engineering workflow.
The technical environment combines Python application development with PowerTech DSA Tools, containerised services, infrastructure integration, simulation data and deployment across multiple operating systems.