Probabilistic Stability Analysis of Uncertain Power Systems IEEE Press Series

Future power systems will be significantly different compared to their present states. With that in mind, this book will equip readers with the knowledge and tools to understand and integrate probabilistic methods within power system stability analysis to handle increased uncertainties.

The techniques required to complete probabilistic stability analysis are systematically presented with coherent examples and test networks. Also, state of the art advances in efficient computational methods, which may enable the application of these approaches to real time stability studies of large power systems, will be clearly outlined and their performance benchmarked against traditional but more computationally intensive techniques.

Key features:

• Discusses different approaches to modelling uncertainties in complex systems, with an emphasis on power systems including essential elements of statistical processing of uncertain data.
• Reviews the essential building blocks of probabilistic and risk analysis and their application in power system stability studies.
• Contains illustrative examples of probabilistic techniques applied to all facets of stability analysis, including small and transient stability, voltage stability and frequency stability.
• Graphical techniques used to illustrate the results of probabilistic studies and facilitate practical application in real-world situations.
• Provides guidance for handling uncertainties in power system stability studies. 

An invaluable resource for students in electrical engineering and in other areas of engineering dealing with complex system studies, but also a timely reference for researchers, practicing electrical engineers and decision makers.

Jovica V. Milanovic, School of Electrical and Electronic Engineering, The University of Manchester, UK   
Jovica V. Milanovic joined The University of Manchester in January 1998 and is currently the Deputy Head of the School of Electrical and Electronic Engineering. Prior to this he worked with engineering consulting company Energoprojekt in Belgrade (Yugoslavia), the University of Belgrade and the universities of Newcastle (UK) and Tasmania (Australia). As a Lecturer in Power Engineering at the University of Tasmania, he co-established one of Australia's first centres for power quality research. His current research and consultancy work is split between Power System Dynamics and Power Quality. He is a UK Chartered Engineer, a member of the Serbian Academy of Engineering Sciences, an IET Fellow and a Distinguished IEEE PES Lecturer.

Robin Preece, School of Electrical and Electronic Engineering, The University of Manchester, UK 
Robin Preece started as a Lecturer in the School of Electrical and Electronic Engineering at The University of Manchester in July 2014. He has experience working at and collaborating with system operators and manufacturers on both individual and multi-partner consortium projects. His research is focused on assessing the impact of uncertainty on the dynamic performance of mixed AC/DC power systems. He is a Senior Member of the IEEE, a UK Chartered Engineer and member of the IET, and a Fellow of the Higher Education Academy.

Kazi Nazmul Hasan, School of Engineering, Royal Melbourne Institute of Technology, Australia
Kazi N. Hasan joined Royal Melbourne Institute of Technology (RMIT), Australia in July 2018 as a Lecturer in Electrical Engineering. Prior to this he worked as a post-doctoral researcher at The University of Manchester, UK, for four years. He received his Ph.D. degree in 2013 from the University of Queensland, Australia. His research interest includes the assessment of the impact