Power System Frequency Control: Modeling and Advances evaluates the control schemata, secondary controllers, stability improvement methods, optimization considerations, microgrids, multi-microgrids, and real-time validation required to model and analyse the dynamic behaviour of frequency in power systems. Chapters review a range of advanced modelling and analytical considerations for single-area to multi-area networks using traditional and hybrid sources including renewable sources, FACT devices and storage. The work also considers broad aspects of upstream and downstream control mechanisms, which enable novel solutions in the area of automatic generation control in power system networks. Highly recommended for power system engineers, researchers, and practitioners with interests in load frequency control, automatic generation control, linearized models of isolated microgrid, and multi-microgrid, and hybrid LFC scheme.
Explains the function and purpose of power network frequency loops, including primary control, secondary control, and emergency control loops
Models LFC schemes from single-area to multi-area interconnected power systems
Demonstrates five fundamental controller designs alongside their main error principles
Evaluates dynamic response analysis with transient performance stated for modern indices
Discusses performance studies such as state-space modeling, random loading, sensitivity, and stability analyses
Early career power system and energy system engineering researchers, particularly those focusing on load frequency control, automatic generation control, isolated microgrids and multi-microgrids, hybrid LFC, and power system interconnection, Graduate and postgraduate students
Table of Contents
1. Introduction to power system frequency control 2. Power system frequency controller types 3. Dynamic response analysis in power system frequency control 4. Hybrid systems of frequency control 5. Ancillary devices in power system frequency control 6. Deregulation studies in power system frequency control 7. Analysis of power system frequency control 8. Microgrids in power system frequency control 9. Tools for modelling power system frequency control 10. Hardware-in-the-loop modeling in power system frequency control
Dillip Kumar Mishra received the M. Tech (Honours) degree from the College of Engineering and Technology (CET), Bhubaneswar, India. He has also completed his Bachelor (Honours) and Diploma (Honours) in Electrical Engineering from India. Dr. Mishra is a former Assistant Professor in the Department of Electrical Engineering, Eastern Academy of Science and Technology (EAST) Bhubaneswar. Currently, he is associating with the University of Technology Sydney, Sydney, Australia. He has authored around thirty research papers in International journals and conferences and one textbook with Wiley. Dr. Mishra brings more than seven years of experience both in industry and teaching. His research areas include power system stability, automatic generation control, renewable energy system, power quality analysis, Power System planning and operation, and Power System Resiliency.
Affiliations and Expertise
University of Technology Sydney, Sydney, Australia
Dr. Li received his B.S. degree from Huazhong University of Science and Technology in 1996, M.S. degree from Tsinghua University in 1999, and a Ph.D. degree from University of California, Los Angeles in 2005. From 2005 to 2007, he was a research associate at the University of New South Wales at the Australian Defence Force Academy. From 2007 to 2011, he was a researcher at the National ICT Australia, Victoria Research Laboratory, Department of Electrical and Electronic Engineering, The University of Melbourne. He joined UTS in 2011, and currently, he is an Associate Professor. Dr. Li held several visiting positions at Beijing Institute of Technology, Tsinghua University, and UNSW@ADFA. His research interests are control theory and power system control. He has authored or co-authored more than 235 publications, including international journal articles, conference proceedings, books, book chapters, and technical reports. He was the General Technical Program Committee Co-Chair of the 20th International Conference on Electrical Machines and Systems (ICEMS2017), Associate Editor in the technical program committee for the Australian Control Conference 2015 and 2016; Associate Editor in the technical program committee for the Australian & New Zealand Control Conference 2017, Session Chair/co-chair: Conference on Decision and Control, 2010; American Control Conference 2012; IFAC World Congress, 2008; Multi-Conference on Systems and Control, 2015; IFAC World Congress, 2017. He is an Associate Editor of IET GTD, IET Smart Grid, IET Renewable Power Generation, and Guest Editor of IET Smart Cities. Dr. Li has handled many research projects of state Government and other organizations of Australia such as (i) MyTown Microgrid: a community and data-driven feasibility; (ii) Optimal Design of Solar Photovoltaic & Concentrated Solar Power System for Coal-Fired Power; (iii) Plant-wide power and energy system optimization for coal preparation; (iv) Vibration Analysis and Control of Clunking Noise for Digital Products; (v)Experimentation and Evaluation of Clunking Noise Control Strategies; and (vi) Farm-wide microgrid decision support system for the Australian cotton industry.
Affiliations and Expertise
Assistant Professor, School of Electrical and Data Engineering, University of Technology, Sydney, Australia
Dr. Zhang, Ph.D. is presently working as an Assistant Professor in the Department of Automotive Engineering at Clemson University. He obtained his BSc and Ph.D. in mathematics from Xi’an Jiaotong University and Ph.D. in Electronic and Electrical Engineering from the University of Strathclyde, U.K. He was a lecturer at the Shanghai Jiaotong University during 2000-2002, then a post-doc researcher in a number of universities before he moved to the University of Pretoria in 2006, where he was appointed as a research fellow, a senior lecturer, and eventually an associate professor. He moved to the University of Strathclyde in 2013 and then the University of Technology Sydney in 2016. His current research interest is on electric vehicle-related topics, ranging from battery management, smart grid, renewable energy, energy efficiency, and demand-side management (DSM). His research experience includes electric vehicle battery charging/discharging control and grid integration; peer-to-peer energy trading; electricity market; distributed generation planning; solar thermal and PV efficiency; electric power dispatch; generator maintenance scheduling; operational efficiency improvement of industrial energy systems (pumps, conveyors, winders, and crushers); residential demand response; measurement and verification; building energy audit and nonlinear control systems amongst others. He has authored or co-authored more than 500 publications, including international journal articles, conference proceedings papers, book chapters, and technical reports, with an H-index of 33, an i10-index of 75, and over 3332 citations (according to Google Scholar). Dr. Zhang is a Fellow of IET, a member of the IFAC TC6.3 (Power and energy systems), a Chartered Engineer (registered with the IET), and an Associate Editor for IET Renewable Power Generation and IET Smart Grid.
Affiliations and Expertise
Assistant Professor, Department of Automotive Engineering, Clemson University, SC, USA
Md. Jahangir Hossain
Dr. Hossain received the B.Sc. and M.Sc. Eng. degrees from Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2001 and 2005, respectively, and the Ph.D. degree from the University of New South Wales in 2010, Australia, all in electrical and electronic engineering. He is currently an Associate Professor with the School of Electrical and Data Engineering, University of Technology, Sydney, Australia. Before joining there, he served as an Associate Professor in the School of Engineering, Macquarie University for three and a half years, Senior Lecture and a Lecturer in the Griffith School of Engineering, Griffith University, Australia, for five years, and as a Research Fellow in the School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia. Previously, he worked as a lecturer and assistant professor at Rajshahi University of Engineering and Technology, Bangladesh, for six years. His research interests include renewable energy integration and stabilization, voltage stability, microgrids, and smart grids, robust control, electric vehicles, building energy management systems, and energy storage systems. He has authored or co-authored more than 700 publications, including international journal articles, conference proceedings papers, book chapters, and technical reports, with an H-index of 33, an i10-index of 102, and over 3913 citations (according to Google Scholar). He has been an active member of many international conferences, served as a chair, co-chair, committee member, held in Australia and abroad. Dr. Hossain has handled many research projects of state Government and other organizations of Australia such as (i) MyTown Microgrid: a community and data-driven feasibility; (ii) Hybrid energy resources to provide ancillary services for grids with renewable generation. Dr. Hossain currently serves as an Associate Editor of the IEEE Access (2019-) and Technology and Economics of Smart Grids and Sustainable Energy (2016-). He also serves as the Deputy Chair of the IEEE NSW PES Chapter in 2020. He is a Senior Member of the IEEE
Affiliations and Expertise
Associate Professor, School of Electrical and Data Engineering, University of Technology, Sydney, Australia