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Representative Publications
View All Publications8 December 2020 in IEEE Transactions on Power Systems
Journal Article
NHNikosHatziargyriou Hatziargyriou
NikosHatziargyriou HatziargyriouJMJovica Milanovic
Jovica MilanovicCRClaudia Rahmann
Claudia RahmannVAVenkataramana Ajjarapu
Venkataramana AjjarapuCCClaudio Canizares
Claudio CanizaresCVCostas Vournas
Costas Vournas +10
Since the publication of the original paper on power system stability definitions in 2004, the dynamic behavior of power systems has gradually changed due to the increasing penetration of converter interfaced generation technologies, loads, and transmission devices. In recognition of this change, a Task Force was established in 2016 to re-examine and extend, where appropriate, the classic definitions and classifications of the basic stability terms to incorporate the effects of fast-response power electronic devices. This paper based on an IEEE PES report summarizes the major results of the work of the Task Force and presents extended definitions and classification of power system stability.
23 January 2019 in IEEE Transactions on Power Systems
Journal Article
JZJunbo Zhao
Junbo Zhao
Junjian QiZHZhenyu Huang
Zhenyu HuangAMA. P. Sakis Meliopoulos
A. P. Sakis MeliopoulosAGAntonio Gomez-Exposito
Antonio Gomez-ExpositoASAbhinav K Singh
Abhinav K Singh +6
This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.
27 April 2021 in IEEE Transactions on Energy Conversion
Journal Article
HDHarsh Dhiman
Harsh Dhiman
Dipankar Deb
S.M. MuyeenInnocent KamwaData-driven condition monitoring reduces downtime of wind turbines and increases reliability. Wind turbine operation and maintenance (O\&M) cost is a significant factor that calls for automated fault detection systems in wind turbines. In this manuscript, the anomaly detection problem for wind turbine gearbox is formulated based on adaptive threshold and twin support vector machine (TWSVM). In this work, SCADA data from wind farms located in the UK is considered with samples from thirteen months before failure. Gearbox oil and bearing temperatures are used as two univariate time-series for analyzing adaptive threshold. The effectiveness of the proposed method is compared with standard classifiers like support vector machines (SVM), k-nearest neighbors (KNN), multi-layer perceptron neural network (MLPNN), and decision tree (DT). Anomaly detection of wind turbine gearbox using TWSVM and adaptive threshold results in an accurate performance, thus increasing the reliability. The missed failure and false positive rate that indicate the proposed methodology's ability is also investigated to discriminate between false alarms, and comparison with previous studies shows superior performance.
30 September 2020 in IEEE Transactions on Power Systems
Journal Article
JZJunbo Zhao
Junbo ZhaoMNMarcos Netto
Marcos NettoZHZhenyu Huang
Zhenyu Huang
SYSamson Shenglong Yu
Samson Shenglong YuAGAntonio Gomez-Exposito
Antonio Gomez-ExpositoARAlireza Rouhani
Alireza Rouhani
+10
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.
9 January 2024 in Energy Strategy Reviews
Journal Article
AAAfifa Akter
Afifa Akter
EZEhsanul Islam Zafir
Ehsanul Islam Zafir
NDNazia Hasan Dana
Nazia Hasan Dana
RJRahul Joysoyal
Rahul Joysoyal
Subrata K. SarkerInnocent Kamwa +3
12 May 2021 in IEEE Transactions on Power Systems
Journal Article
YLYu Liu
Yu LiuASAbhinav K Singh
Abhinav K SinghJZJunbo Zhao
Junbo ZhaoAMA. P. Sakis Meliopoulos
A. P. Sakis MeliopoulosBPBikash Pal
Bikash PalSYSamson Shenglong Yu
Samson Shenglong Yu +9
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.
About Me
Innocent Kamwa obtained a Ph.D. in Electrical Engineering from Université Laval in 1989. A fellow of the Canadian Academy of Engineering and an International Member of the US National Academy of Engineering, he is currently a full professor in the Department of Electrical Engineering and Tier 1 Canada Research Chair in Decentralized Sustainable Electricity Grids for Smart Communities. Previously a researcher at the Hydro-Québec Research Institute, he was the principal scientist of Hydro-Québec’s Smart Grid Innovation Program and Head of Power Systems and Mathematics, directing the Network Simulation Laboratory. An international consultant in simulation and stability of power systems, he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to adaptive power grid control schemes and synchronous generator testing and standards. He is the recipient of six IEEE PES best paper prize awards, five IEEE PES outstanding working group awards, the IEEE Charles-Proteus-Steinmetz prize, and IEEE Power and Energy Society’s Charles Concordia Power Systems Engineering prize. His research interests include the production, storage, transmission, and distribution of electrical energy, smart, decentralized, and sustainable electrical networks, modeling and simulation of electrical machines, and applications of machine learning and signal processing to power grid control and operation.