I had the pleasure of attending the EPSRC Supergen Energy Networks Hub Risk and Resilience Day 2025 in Birmingham, UK, and presenting my work on "Balancing-aware Redispatch Actions Under Uncertainty." Read it!

The presentation focused on the importance of accurately handling 𝙣𝙤𝙣-𝙂𝙖𝙪𝙨𝙨𝙞𝙖𝙣 𝙪𝙣𝙘𝙚𝙧𝙩𝙖𝙞𝙣𝙩𝙮, incorporating 𝙃𝙑𝘿𝘾 𝙘𝙤𝙢𝙥𝙖𝙩𝙞𝙗𝙞𝙡𝙞𝙩𝙮, and treating 𝙍𝙀𝙎 𝙘𝙪𝙧𝙩𝙖𝙞𝙡𝙢𝙚𝙣𝙩 as decision variables. Read it!

I presented our paper, "𝙍𝙞𝙨𝙠-𝙗𝙖𝙨𝙚𝙙 𝙎𝙩𝙤𝙘𝙝𝙖𝙨𝙩𝙞𝙘 𝙊𝙥𝙩𝙞𝙢𝙖𝙡 𝙋𝙤𝙬𝙚𝙧 𝙁𝙡𝙤𝙬 𝙛𝙤𝙧 𝘼𝘾/𝘿𝘾 𝙂𝙧𝙞𝙙𝙨 𝙐𝙨𝙞𝙣𝙜 𝙋𝙤𝙡𝙮𝙣𝙤𝙢𝙞𝙖𝙡 𝘾𝙝𝙖𝙤𝙨 𝙀𝙭𝙥𝙖𝙣𝙨𝙞𝙤𝙣," co-authored with Hakan Ergun and Dirk Van Hertem. Our research paves the way for risk-based stochastic tools that account for continuous uncertainty, enabling TSOs to optimize strategies for hybrid AC/DC grids. Read it!

Our research introduced a model that optimizes converter and generator set points to maintain system feasibility after DC grid contingencies, considering uncertainties in renewable energy sources and demand. The findings underscored the importance of joint optimization of HVDC converter set points and droop coefficients to manage significant power shifts during contingencies.  Read it!

This visit was a unique opportunity to witness the rapid expansion of offshore wind energy. A big thank you to the PhairywinD project for making this insightful experience possible.  Read it!

This past week in Barcelona opened my eyes even wider to the evolving world of HVDC grid technologies and offshore wind energy. One of the highlights for me was being able to talk about the critical need for tractable stochastic optimization tools to provide decision support in power systems under uncertainty. Moreover, I was able to share our results on how HVDC grids add much-needed flexibility to our existing power systems.  Read it!

It is crucial to automatically determine cleaning schedule due to the soiling effect to achieve a high-profit PV plant. In this work, a data-driven soiling detection method is developed that uses only DC current input of inverters, without any environmental sensor. The effectiveness of the method is shown on various grid-connected PV plants in Turkey.  Read it!

"This study is a major step towards addressing the gap of modeling the stochastic behavior of the PV generation and the load thanks to being the first study that introduces a hybrid model which integrates detailed inherent characteristics including abnormal conditions of PV plants in the service areas into the stochastic dynamic SEP through systematic probabilistic scenario tree generation."  Read it!

Our contribution titled Data-Driven Assessment of Soiling Loss in Photovoltaic Plants (Oral Presentation) has been selected as an outstanding student research work in the field of “Operation, Performance and Maintenance of PV Systems”  by the Scientific Committee of EU PVSEC 2021. 

I am happy to announce that pv magazine has published an article under Technology and R&D topic about our paper “Sensorless fault detection method for photovoltaic systems through mapping the inherent characteristics of PV plant site: Simple and practical” and the R&D projects we conduct.  Read it!

"In this study, we present a method that can automatically rationalize the collected data from DC sides of inverters in order to make a decision on distinguishing between faulty and natural outputs. The proposed method has the ability to map the inherent characteristics of a PV plant without using irradiance and temperature sensors." Read it!