Browsing by Author "Kamwa, Innocent"

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    Dynamic State Estimation for Power System Control and Protection IEEE Task Force on Power System Dynamic State and Parameter Estimation
    Liu, Yu; Singh, Abhinav Kumar; Zhao, Junbo; Meliopoulos, AP Sakis P. S.; Pal, Bikash; Ariff, Mohd Aifaa bin Mohd B. M.; Van Cutsem, Thierry; Glavic, Mevludin; Huang, Zhenyu; Kamwa, Innocent; Mili, Lamine M.; Mir, Abdul Saleem; Taha, Ahmad; Terzija, Vladimir; Yu, Shenglong (IEEE, 2021-05-12)
    Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and protection applications of DSE, comprehensively presenting different facets of control and protection challenges arising in modern power systems. It is demonstrated how these challenges are effectively addressed with DSE-enabled solutions. As precursors to these solutions, reformulation of DSE considering both synchrophasor and sampled value measurements and comprehensive comparisons of DSE and observers have been presented. The usefulness and necessity of DSE based solutions in ensuring system stability, reliable protection and security, and resilience by revamping of control and protection methods are shown through examples, practical applications, and suggestions for further development.
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    Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation
    Zhao, Junbo; Netto, Marcos; Huang, Zhenyu; Yu, Samson Shenglong; Gomez-Exposito, Antonio; Wang, Shaobu; Kamwa, Innocent; Akhlaghi, Shahrokh; Mili, Lamine M.; Terzija, Vladimir; Meliopoulos, A. P. Sakis; Pal, Bikash; Singh, Abhinav Kumar; Abur, Ali; Bi, Tianshu; Rouhani, Alireza (IEEE, 2020-09-30)
    Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances in the capability, scalability, and affordability of computing and communications. This paper discusses the advantages of DSE as compared to static state estimation, and the implementation differences between the two, including the measurement configuration, modeling framework and support software features. The important roles of DSE are discussed from modeling, monitoring and operation aspects for today's synchronous machine dominated systems and the future power electronics-interfaced generation systems. Several examples are presented to demonstrate the benefits of DSE on enhancing the operational robustness and resilience of 21st century power system through time critical applications. Future research directions are identified and discussed, paving the way for developing the next generation of energy management systems and novel system monitoring, control and protection tools to achieve better reliability and resiliency.