Active Distribution Networks : Modeling and Real-Time Power Management

ISBN-13: 9783846523131 / Angielski / Miękka / 2011 / 160 str.

Mohamed Z. Kamh; Reza Iravani

Opis

Proliferation of distributed energy resource units, including both generation and energy storage, at the power distribution voltage level has necessitates full reconsideration of control and operational practices in the power utility distribution system. These issues will be further compounded by integration of a large number of electric vehicles (EVs) in the future. The term active distribution network (ADN) is used to identify a distribution system which includes distributed energy resource units and provides an umbrella for a coordinated operation of the units and the host distribution system. This requires a set of comprehensive of mathematical models of the active distribution network building blocks to identify and analyze various electrical phenomena within the ADN. The analytical approaches and the corresponding production level software tools are not directly applicable to the ADN. The reasons are the inherently different characteristics of the ADN as compared to the bulk transmission systems. This book is an attempt to provide a systematic approach to mathematically formulate various components of the the ADN for steady-state and quasi-steady-state analysis.

O autorze

Reza Iravani received his B.Sc. in 1976 (Tehran Polytechnique University) and M.A.Sc. and Ph.D. degrees in 1981 and 1985 (University of Manitoba) in electrical engineering. He worked as a consulting engineer from 1977 to 1979. Presently, Dr. Iravani is a professor in the Department of Electrical and Computer Engineering at the University of Toronto. His research interests include power systems dynamics and applications of power electronics in power systems. Dr. Iravani is a Fellow of the IEEE, a Professional Engineer in Ontario, Canada, and the Editor-in-Chief of the IEEE Transactions on Power Delivery. Dr. Kamh (left) is a power systems consultant and a visiting scientist at University of Toronto (UofT), where he obtained his Ph.D in 2011. He is an IEEE member. Dr. Iravani (right) is a professor in the Department of Electrical and Computer Engineering at UofT. He is a Fellow of the IEEE. Both authors are Professional Engineers in Ontario, Canada.