Summary
Firdous Ul Nazir is currently a Research Associate at the Control and Power group in the Department of Electrical and Electronic Engineering of Imperial College London. He is working under the “JUICE – Joint UK-India Clean Energy Centre” consortium. His current research focuses on the challenges in voltage regulation for distribution networks hosting appreciable amount of solar photovoltaic.
Firdous holds the PhD degree in Electrical Engineering from Imperial College London. His Doctoral studies were partly funded by his Department at the Imperial and partly by the Inlaks Shivdasani Foundation. His doctoral research pertains to the stochastic Volt/VAr and reactive power optimization in the radial distribution networks
Firdous completed the M.Tech degree in Power Systems from the Indian Institute of Technology Roorkee, India in 2015 and the B. Tech degree in Electrical Engineering from the National Institute of Technology Srinagar, India in 2012. He was the topper for both the B.Tech and M.Tech degrees and received gold medal in the undergraduate degree.
Firdous has served in the capacity of aviation officer in the biggest oil marketing company of India, the Indian Oil Corporation Limited from Sep 2012 to Jul 2013. He has also worked as a temporary faculty, for two terms, in the National Institute of Technology Srinagar, India between Mar 2016 to Sep 2016 and Aug 2015 to Dec 2015.
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Publications
Journals
Ul Nazir F, Pal B, Jabr R, 2020, Approximate load models for conic OPF solvers, Ieee Transactions on Power Systems, Vol:36, ISSN:0885-8950, Pages:549-552
Nazir FU, Pal BC, Jabr RA, 2020, Distributed solution of stochastic volt/VAr control in radial networks, Ieee Transactions on Smart Grid, Vol:11, ISSN:1949-3053, Pages:5314-5324
Ul-Nazir F, Kumar N, Pal BC, et al., 2020, Enhanced SOGI controller for weak grid integrated solar PV system, Ieee Transactions on Energy Conversion, Vol:35, ISSN:0885-8969, Pages:1208-1217
Ul Nazir F, Pal B, Jabr R, 2019, A two-stage chance constrained volt/var control scheme for active distribution networks with nodal power uncertainties, Ieee Transactions on Power Systems, Vol:34, ISSN:0885-8950, Pages:314-325