Kathrin Ballerstein

Director Strategy & System Design @ TenneT Germany

Country

Germany

City

Kulmbach

Industry

Utilities

Skill

Mathematical Optimization, Analytische Fähigkeiten, Abstraktion, Operations Research, Informationstechnologie, Unternehmensstrategie, Strategic Planning, Projektmanagement, Regulierung, Leadership, Grid Planning, Strategie, Energy Transition

Experience

Director Strategy & System Design

TenneT Germany

2026-1 - Present · 8 mos

Bayreuth, Bayern, Deutschland

Unternehmensstrategie, Netzplanung, Strommarktdesign, regulatorische Weiterentwicklung, Netzkunden sowie neue Netztechnologien und Stabilitätsbewertung

Director Energy System Planning

TenneT Germany

2023-4 - 2026-1 · 2 yrs 10 mos

Bayreuth, Bayern, Deutschland

We plan the energy system of the future, including the future transmission electricity grid in Germany and the Netherlands, innovative concepts for large scale, efficient HVDC transmission and sector coupling, scenario analysis as well as technical requirements for a stable electricity grid.

Head Balancing and Ancillary Services

TenneT Germany

2020-7 - 2023-3 · 2 yrs 9 mos

Bayreuth, Bayern, Deutschland

Leading an international team of experts in the field of Balancing and other grid operator products.

Team Lead Portfolio Management

TenneT Germany

2018-2 - 2020-6 · 2 yrs 5 mos

Bayreuth, Bayern, Deutschland

Leading a team of 12 experts for procurement of ancillary services, renewable energy trading and design of specific grid operator's products.

Advisor Congestion Management

TenneT Germany

2012-12 - 2018-1 · 5 yrs 2 mos

Bayreuth, Bayern, Deutschland

I was mostly active in European Energy Market Integration Projects facilitating a European-wide Electricity Market. This also included European Regulation and Politics for Electricity Systems. Further, IT project management and IT design was part of my activities.

Scientific Assistant

ETH Zürich

2011-1 - 2012-11 · 1 yr 11 mos

Zurich

Scientific Research in the field of mathematical programming applied to biological systems. The overall result was a mathematical model and respective solution algorithms for certain biological entities, which allowed for predictive simulations.