In order to meet the ever increasing demand for electrical power, modern energy grids are operating increasingly closer to their security limits and are becoming more and more complex due to increased integration of distributed sources of energy.
Dynamic Estimation and Control of Power Systems uniquely addresses for the first time the dynamic estimation driven control techniques for power systems. A thorough source of information for engineers and researchers working in the field, it offers foundational and technological developments for controlling the system dynamically and adaptively making it a valuable resource for those familiar with conventional power system technology wanting to learn more about the recent technologies of estimation and control of 21st century power networks.
The first single source or comprehensive documentation on dynamic estimation of power networks, complete with detailed case-studies, including Matlab codes to explain the methods, and demonstrate the concepts presented in the development and application of dynamic estimation based control technique.
- Offers the first concise single resource on dynamic estimation and control of power systems
- Provides both the understanding of estimation and control concepts along with comparison of results
- Includes detailed case-studies, including Matlab codes to explain and demonstrate the concepts presented
Power system engineers and researchers, electrical engineers and engineering researchers, solar energy engineers and those working in the implementation of efficient power systems
2. Power system modelling and simulation
3. Centralized dynamic estimation and control
4. Decentralized dynamic estimation using PMUs
5. Dynamic parameter estimation of analog voltage and current
6. Decentralized dynamic estimation using CT/VTs
7. Control based on dynamic estimation: linear and nonlinear theories
8. Decentralized linear control using DSE and ELQR
9. Decentralized nonlinear control using DSE and normal forms
- No. of pages:
- © Academic Press 2018
- 1st October 2018
- Academic Press
- Paperback ISBN:
Dr. Abhinav K. Singh received B.Tech. degree from the Indian Institute of Technology, New Delhi, India, and the Ph.D. degree from Imperial College London (ICL), U.K., in Aug. 2010 and Jan. 2015, respectively, all in electrical engineering. Currently, he is working as a Research Associate at ICL and research active in electric power generation and transmission. Dr. Singh specializes in estimation and control of small signal oscillatory dynamics in power systems. His other research interests include application of signal processing and communication networks in power systems. His research has produced six papers in IEEE Transactions (the topmost journals of power and control). His PhD research on ‘Decentralized Estimation and Control for Power Systems’ won the EPSRC Doctoral Prize Fellowship in January 2015. He has also received IEEE PES Working Group Recognition Award for Benchmark Systems for Stability Controls Task Force for the development and validation of a 68-bus power system model. This model now forms a part of IEEE Benchmark Systems and serves as a standard for researchers to validate their innovations in stability analysis and control design. Dr. Singh is also actively collaborating with industrial partners like National Grid UK, ESB Ireland, ABB Switzerland and SecuControl Germany for industrial translation and adoption of his research.
Research Associate, ICL and Research Active, Electric Power Generation and Transmission
Prof. Bikash C. Pal completed his B.Eng (1990) from Jadavpur University, M.Eng (1992) from The Indian Institute of Science, Bangalore and PhD (1999) from Imperial College London. He is a professor of power systems at Imperial College London. He is research active in stability, control and computation of power systems with renewable energy. His research in power transmission control are conducted in strategic partnership with ABB and National Grid UK. His research in distribution network control and computation was supported by UK Power Networks (UKPN) and Scottish & Southern Electric (SSE) UK. He leads an eight-university UK-India research consortium on Smart Grid and Storage and a six-university UK-China research consortium in Smart Grid and Control.
Professor of Power Systems, Imperial College London, UK