News — Kaan Yurtseven

2026

award

Gold Award — EERA Joint Programme on Smart Grids

Received the Gold Award from the European Energy Research Alliance Joint Programme on Smart Grids for exceptional doctoral research in stochastic optimization for power systems.
conference

Poster Presentation at Risk and Resilience Day 2026 — Birmingham, UK

Presented my poster on "Risk-based Balancing-aware Congestion Management in Hybrid AC/DC Grids Under Continuous Non-Gaussian Uncertainty" at the EPSRC Supergen Energy Networks Hub event.
training

N-SIDE Energy Training on Power Market Optimization — Brussels

Attended a three-day intensive training by N-SIDE Energy covering day-ahead and intraday market coupling mechanics, cross-border balancing cooperation, and cross-zonal capacity sharing between balancing and wholesale markets.

publication

Paper published — Stochastic Optimal Transmission Switching in Hybrid AC/DC Grids

Our paper on congestion management through stochastic optimal transmission switching, using polynomial chaos expansion to handle continuous non-Gaussian uncertainty, was published in IEEE Transactions on Power Systems.
publication

Paper published — Stochastic Optimal Power Flow for Hybrid AC/DC Grids

Our paper introducing a chance-constrained stochastic optimal power flow framework for hybrid AC/DC grids under continuous non-Gaussian uncertainty was published in the International Journal of Electrical Power & Energy Systems.
conference

Presented at IEEE PowerTech 2025 — Kiel, Germany

Presented my paper on security-constrained stochastic optimal power flow for hybrid AC/DC grids considering non-Gaussian uncertainty.
conference

Talk at Risk and Resilience Day 2025 — Birmingham, UK

Presented "Balancing-aware Redispatch Actions Under Uncertainty" at the EPSRC Supergen Energy Networks Hub event, focusing on risk-aware operational planning under renewable uncertainty.
training

LANL Grid Science Winter School and Conference 2025 — New Mexico, USA

Presented a poster on non-Gaussian uncertainty quantification in hybrid AC/DC grids at Los Alamos National Laboratory's Grid Science Winter School and Conference.

conference

Oral presentation at IEEE ISGT Europe 2024 — Croatia

Delivered an oral presentation on risk-based stochastic optimal power flow for AC/DC grids using polynomial chaos expansion, covering CVaR-based risk measures and HVDC flexibility benefits.
conference

Presented at PMAPS 2024 — New Zealand

Contributed to two papers at the 18th International Conference on Probabilistic Methods Applied to Power Systems: one on robust HVDC converter droop gain optimization, and one on bi-objective power system restoration with renewable participation.
visit

Field visit — Thorntonbank Offshore Wind Farm, Belgian North Sea

Visited the Thorntonbank offshore wind installation, located 30 km off the Belgian coast, as part of the PhairywinD research project.
conference

Invited talk at HVDC Colloquium — CITCEA-UPC, Barcelona

Presented stochastic optimization tools for hybrid AC/DC grids and the role of HVDC controllability in managing uncertainty from high renewable penetration.

conference

Oral presentation at EU PVSEC 2021

Presented our data-driven soiling detection method for PV plants, which uses only already available inverter data — no environmental sensors required — to determine optimal cleaning schedules.
award

Outstanding student paper — EU PVSEC 2021

My paper on a data-driven soiling loss assessment method for PV plants was selected as outstanding student research work at the 38th European Photovoltaic Solar Energy Conference.
publication

Paper published — Stochastic Dynamic Substation Expansion Planning

Our paper on risk-based stochastic dynamic substation expansion planning under MILP framework, incorporating the inherent characteristics of PV plants, is now available online in IEEE Transactions on Power Systems.
media

Featured in PV Magazine — Sensorless fault detection for PV systems

PV Magazine published a feature on our sensorless fault detection method, which identifies performance faults in photovoltaic systems using only already available inverter data — no environmental sensors required.
publication

Paper published — Sensorless Fault Detection for PV Systems

Our paper presenting a sensorless fault detection method for photovoltaic systems — using only available inverter data to distinguish faulty from natural outputs — is now available online in Solar Energy.