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Vennema Professor of EngineeringDepartment of Electrical Engineering and Computer Science
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Ian A Hiskens received the BEng (Elec) and BAppSc (Math) degrees from the Capricornia Institute of Advanced Education, Rockhampton, Australia in 1980 and 1983 respectively. He received the PhD degree in Electrical Engineering from the University of Newcastle, Australia in 1991.
Dr. Hiskens is the Vennema Professor of Engineering in the Department of Electrical Engineering and Computer Science at the University of Michigan at Ann Arbor. From 1980 to 1992, he was with the Queensland Electricity Supply Industry, where he held the positions of EMS Security Applications Engineer and Planning Engineer Transmission Systems. From 1992 to 1999, he was a Senior Lecturer at the University of Newcastle, Australia, from 1999 to 2002 a Visiting Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, and from 2002 to 2008 a Professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison.
Dr. Hiskens' research interests lie at the intersection of power system analysis and systems theory, in particular modelling, optimization, dynamics and control of large-scale, networked, nonlinear systems. His recent activity has focussed largely on integration of renewable generation and controllable loads. He is involved in numerous IEEE activities in the Power and Energy Society, Control Systems Society and Circuits and Systems Society, and has served as the Vice-President for Finance of the IEEE Systems Council. He is a past Associate Editor of the IEEE Transactions on Power Systems, the IEEE Transactions on Circuits and Systems-I: Regular Papers and the IEEE Transactions on Control Systems Technology.
Professor Hiskens is a Fellow of the IEEE, a Fellow of Engineers Australia, and a Chartered Professional Engineer in Australia.
Non-disruptive Control of Electrical Loads for Grid Support
Fast-acting demand response (load control) will be required to support the high level of non-dispatchable generation, particularly renewable generation, that is anticipated for future power systems. Furthermore, as electric vehicle charging load grows, coordination will be required to prevent overloading and voltage degradation on distribution feeders. Participation in fast-acting demand response can be maximized through aggregation of many small electrical loads. Numerous control strategies have been proposed for coordinating the behaviour of individual loads and load ensembles to assist in power system operations. The presentation will explore the characteristics of a variety of those strategies. Expansive communications with loads enables higher quality control performance, but the cost may be prohibitive. Therefore, methods for extracting feedback information from limited, diverse data sources will be discussed.