Ivana KockarView profile
Senior Lecturer
Ivana Kockar is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. She is affiliated with the Institute for Energy and Environment and leads research on the integration of Distributed Energy Resources (DERs) into power systems, focusing on optimization, market design, and policy analysis. PhD, McGill University, 2004 Her research interests include active network management, TSO-DSO coordination, agent-based modeling, Multi-Criteria Decision Analysis (MCDA), and virtual power plants. She develops tools to support the transition to low-carbon power systems and improve grid flexibility through demand participation and energy storage. The recent publications highlight a strong trend in analyzing DSO risk, flexibility markets, and human behavior in energy planning. Her work increasingly integrates socio-technical dimensions, examining how corporate and individual behaviors impact grid operations. There is also a consistent focus on business models for virtual power plants and the economic impacts of forecasting accuracy, indicating a blend of technical and market-oriented research. Outstanding Engineer Award, 2024 Best Innovation Project, December 2015 Special Issue inclusion, International Journal of Electrical Power and Energy Systems, 2008 She has supervised multiple PhD and MSc students and is Principal Investigator on several major research projects, including EPSRC-funded doctoral training and industrial knowledge exchange initiatives. Her work is supported by grants from EPSRC, Ofgem, and energy companies such as SSEN and Scottish Power. She actively collaborates with Management Science colleagues and contributes to policy development. She leads a research team at the Institute for Energy and Environment, working closely with industry partners and international research consortia such as the EU Horizon 2020 SmartNet project. Her team applies advanced computational methods, including high-performance computing and agent-based simulations, to real-world energy challenges.




