Assistant Professor, Ph.D. University of Central Florida, 2015
Office: Engineering E-116
Office Hours: MTW: 1:30-3:30PM, or by appointment
Phone: (618) 453-7642
Lab: Power Systems Design
Dr. Asrari's research interests include (1) power systems operation and planning, (2) power systems protection, (3) power systems optimization, (4) renewable energy systems integration, (5) electricity markets analysis, and (6) smart grid. He started working in the Department of Electrical and Computer Engineering at Southern Illinois University as an Assistant Professor since Aug. 2017.
J.L. Utilities Company (Phasor Engineering), Altamonte Springs, Florida
Sept. 2015 – Jul. 2017
Title: Senior Consulting Engineer
- Performed complex electric power systems analysis / design in generation, transmission, distribution, and synchronous / induction machine systems.
- Performed arc flash analysis for different power plants in the state of Florida including Hines Energy Complex and Anclote Plant.
- Performed research to develop elegant, efficient, and effective solutions for power quality aberrations that occur due to system imbalances incurred by system modifications / upgrades.
- Met with clients to present reports and provide elegant engineering solutions to the identified power system challenges.
- A. Asrari, T. Wu, and B. Ramos, “A hybrid algorithm for short-term solar power prediction - sunshine state case study”, IEEE Transactions on Sustainable Energy, vol. 8, pp. 582-591, 2017.
- A. Asrari, S. Lotfifard, and M. Ansari, “Reconfiguration of smart distribution systems with time varying loads using parallel computing”, IEEE Transactions on Smart Grid, vol. 7, pp. 2713-2723, 2016.
- A. Asrari, S. Lotfifard, and M. S. Payam, “Pareto dominance-based multi-objective optimization method for distribution network reconfiguration”, IEEE Transactions on Smart Grid, vol. 7, pp. 1401-1410, 2016.
- A. Asrari, T. Wu, and S. Lotfifard, “The impacts of distributed energy sources on distribution network reconfiguration”, IEEE Transactions on Energy Conversion, vol. 31, pp. 606-613, 2016.
- A. Asrari and B. Ramos, “An intelligent neural network-based short-term wind power forecasting in PJM electricity market”, IEEE Power and Energy Society (PES) General Meeting, Boston, MA, pp. 1-5, 2016. (Selected as the Best Paper)
- A. Asrari, A. Kargarian, M. H. Javidi, M. Monfared, and S. Lotfifard, “A stochastic hybrid method to forecast operating reserve: comparison of fuzzy and classical set theory”, Electric Power Components and Systems, vol. 41, pp. 806- 823, 2013.
- Ghasemi, A. Asrari, M. Zarif, and S. Abdelwahed, “Techno-economic analysis of stand-alone hybrid photovoltaic–diesel–battery systems for rural electrification in eastern part of Iran—A step toward sustainable rural development”, Renewable and Sustainable Energy Reviews, vol. 28, pp. 456- 462, 2013.
- A. Asrari, A. Ghasemi, and M. H. Javidi, “Economic evaluation of hybrid renewable energy systems for rural electrification in Iran—A case study”, Renewable and Sustainable Energy Reviews, vol. 16, pp. 3123- 3130, 2012.