School Of Electrical & Electronic Eng
Tel: +353 1 7161959
Dr Bakhtvar received his Ph.D. in electrical engineering and M.E. in energy systems engineering from University College Dublin, Ireland, in 2016 and 2012, respectively; he completed the B.Sc. degree in electric-power engineering at IAU-Saveh, Iran, in 2010. He is currently a senior researcher with the School of Electrical and Electronic Engineering, University College Dublin. His research interests include, distribution and transmission system planning, operation, optimization and stability.
|Bakhtvar, M; Cuffe, P; Dzamarija, M; Keane, A (2013) Application of non linear optimization to electrical network planning considering renewable resources. [Invited Oral Presentation], 26th European Conference on Operation Research (Euro 2013), Rome, Italy , 01-JUL-13 - 01-JUL-13.|
Peer Reviewed Journals
|Bakhtvar, M.; Vittal, E.; Zheng, K.; Keane, A. (2017) 'Synchronizing Torque Impacts on Rotor Speed in Power Systems'. IEEE Transactions on Power Systems, 32 (3):1927-1935. [DOI] Link to full text [Details]|
|Bakhtvar, M., Keane, A. (2016) 'Allocation of wind capacity subject to long term voltage stability constraints'. IEEE Transactions on Power Systems, 31 (3):2404-2414. [DOI] Link to full text [Details]|
|Bakhtvar, M., Keane, A, (2013) Optimal Allocation of Wind Generation Subject to Voltage Stability Constraints IEEE Innovative Smart Grid Technnologies Copenhagen, , 06-OCT-13 - 09-OCT-13 , pp.1-5 [DOI] Link to full text [Details]|
|Dz'amarija, M., Bakhtvar, M., Keane, A. (2012) Operational Characteristics of Non-firm Wind Generation in Distribution Networks IEEE Power and Energy Society General Meeting San Diego, , 22-JUL-12 - 26-JUL-12 , pp.1-8 [DOI] [Details]|
Dr Bakhtvar contributes to the technical outcomes of the RealValue project primarily as per Work Package WP3 - Task 3.4. He focuses on refining distribution network congestion management tools based on the characteristics of smart electric thermal storage (SETS) devices. His work, through extensive computer simulation, enables assessing the potential for realizing congestion management by employing aggregated response from small-scale SETS devices. Accordingly, various SETS deployment scenarios will be considered to analyse its benefits against alternative solutions, namely network reinforcement.