Browsing by Author "Wang, Shaobu"
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- A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMSZhao, Junbo; Wang, Shaobu; Zhou, Ning; Huang, Renke; Mili, Lamine M.; Huang, Zhenyu (IEEE, 2019-08-01)Accurate system state information under various operation conditions is a prerequisite for power grid monitoring and efficient control. To achieve that goal, a new multi-scale state estimation framework is proposed, paving the way for the development of next generation of energy management system (EMS). The developed framework consists of three key components, namely the static state estimation (SSE) module, the dynamic state estimation (DSE) module, the interfaces and switching logics between the two modules. Specifically, the singular spectrum analysis (SSA)-based change point detection approach is developed to monitor the system continuously. If no event is detected by the SSA, the robust SSE using both SCADA and PMU measurements is executed. Otherwise, the event is declared and the results from SSE are used to derive the initial condition for DSE. During the transient process, only PMU-based DSE is executed for system monitoring and it will be terminated when SSA does not detect any change point of the system. After that, the DSE results are forwarded for SSE initialization and bus voltage magnitude and angle estimations. Simulation results carried out on the IEEE 39-bus system demonstrate the effectiveness and benefits of the proposed framework.
- Roles of Dynamic State Estimation in Power System Modeling, Monitoring and OperationZhao, 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.