C
Claudio A. Canizares
Researcher at University of Waterloo
Publications - 246
Citations - 20585
Claudio A. Canizares is an academic researcher from University of Waterloo. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 64, co-authored 231 publications receiving 17570 citations. Previous affiliations of Claudio A. Canizares include National Technical University & University of Seville.
Papers
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Journal ArticleDOI
Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions
P. Kundur,John Paserba,Venkataramana Ajjarapu,Göran Andersson,Anjan Bose,Claudio A. Canizares,Nikos Hatziargyriou,David J. Hill,Aleksandar M. Stankovic,C.W. Taylor,T. Van Cutsem,Vijay Vittal +11 more
TL;DR: In this article, a Task Force, set up jointly by the CIGRE Study Committee 38 and the IEEE Power System Dynamic Performance Committee, addresses the issue of stability definition and classification in power systems from a fundamental viewpoint and closely examines the practical ramifications.
Journal ArticleDOI
Trends in Microgrid Control
Daniel E. Olivares,Ali Mehrizi-Sani,Amir H. Etemadi,Claudio A. Canizares,Reza Iravani,Mehrdad Kazerani,Amir H. Hajimiragha,Oriol Gomis-Bellmunt,Maryam Saeedifard,Rodrigo Palma-Behnke,Guillermo Jimenez-Estevez,Nikos Hatziargyriou +11 more
TL;DR: The major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the main control principles (e.g., droop control, model predictive control, multi-agent systems).
Journal ArticleDOI
Point of collapse and continuation methods for large AC/DC systems
TL;DR: In this article, the implementation of both point of collapse (PoC) and continuation methods for the computation of voltage collapse points (saddle-node bifurcations) in large AC/DC power systems is described.
Journal ArticleDOI
A Centralized Energy Management System for Isolated Microgrids
TL;DR: Using the model predictive control technique, the optimal operation of the microgrid is determined using an extended horizon of evaluation and recourse, which allows a proper dispatch of the energy storage units.
Book
Electric Energy Systems : Analysis and Operation
TL;DR: In this article, Conejo et al. proposed a solution of linear equation systems to solve the problem of load flow and load flow analysis in electric power systems, including three-phase linear and nonlinear models of power system components.