Power System Operations

This textbook provides a detailed description of operation problems in power systems, including power system modeling, power system steady-state operations, power system state estimation, and electricity markets. The book provides an appropriate blend of theoretical background and practical applications, which are developed as working algorithms, coded in Octave (or Matlab) and GAMS environments.  This feature strengthens the usefulness of the book for both students and practitioners. Students will gain an insightful understanding of current power system operation problems in engineering, including: (i) the formulation of decision-making models, (ii) the familiarization with efficient solution algorithms for such models, and (iii) insights into these problems through the detailed analysis of numerous illustrative examples. The authors use a modern, “building-block” approach to solving complex problems, making the topic accessible to students with limited background in power systems. Solved examples are used to introduce new concepts and each chapter ends with a set of exercises.

Antonio J. Conejo, professor at The Ohio State University, OH, US, received an M.S. from MIT, US, and a Ph.D. from the Royal Institute of Technology, Sweden. He has published over 190 papers in SCI journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC. He has been the principal investigator of many research projects financed by public agencies and the power industry and has supervised 20 PhD theses. He is an IEEE Fellow.

Luis Baringo, associate professor at the Universidad de Castilla-La Mancha, Ciudad Real, Spain, received his Industrial Engineering degree and his PhD in Electrical Engineering from the Universidad de Castilla-La Mancha, Spain, in 2009 and 2013, respectively. In 2014, he was a postdoctoral researcher at the Power Systems Laboratory, ETH Zurich, Switzerland. His research interests are in the fields of planning, operations, and economics of power systems.