About C2 GRID HUB

AI·SW research and training for the MT-HVDC grid

C2 GRID HUB predicts, controls and validates converter–cable interactions while training specialists in both equipment design and intelligent grid operation.

Korean HVDC, data-center and offshore-wind integration concept
Interaction to Reliability · Interoperability and performance validation for real-world HVDC and MTDC systems

Center mission

Our final objective

Build AI·SW capabilities for modeling, control and analysis of integrated MT-HVDC systems and establish an industry–academia–research training framework.

Integrated modeling

Represent MT-HVDC converters and cables together at power-system scale.

Stability analysis

Identify instability and equipment interactions using wide-area EMT and measurement data.

Control & operation

Develop converter controls for grid-adaptive services and MTDC operation.

Equipment diagnostics

Detect cable and power-equipment conditions before they develop into failures.

MTDC operation & controlConverter control and AC/DC grid-integration models
Cable condition analysisCable diagnostics using time- and frequency-domain response
AI grid analysisExplainable-AI monitoring and analysis
HIL validationReal-time validation of control and operation

2026–2032 roadmap

From foundation to demonstration and adoption

The program builds its foundation in Phase 1, develops and validates core technologies in Phase 2, and advances field deployment and global adoption in Phase 3.

PHASE 1 · 2026

Foundation

Establish the research, education and collaboration framework and finalize detailed plans around industry needs.

PHASE 2 · 2027–2029

Core technology development

Develop and validate HVDC control, protection, stability analysis, fault location and explainable-AI diagnostics.

PHASE 3 · 2030–2032

Demonstration & adoption

Apply integrated analysis, operation and diagnostic tools in the field and advance localization, standards and industry adoption.

Research & training

Research and education as one program

Graduate education, industry projects, AI·SW·HILS practice and international exchange build skills that can be applied in the field.

Industry-linked education

Graduate courses, problem-driven industry projects, internships and field training.

AI·SW·HILS practice

Explainable-AI grid modeling, HILS cross-validation and joint controller and sensing-system development.

Global joint research

International workshops, webinars, visiting research, postdoctoral appointments and global fellowships.

Power-system modeling
AI·SW control practice
Graduate education
Industry field practice