Optimal time of applying corrective damping control to damp power system oscillations

2012 ◽  
Author(s):  
Jun Cao ◽  
H.F. Wang ◽  
W. Du
Keyword(s):  
Power System ◽  
Optimal Time ◽  
Damping Control ◽  
Power System Oscillations

Application of Dual Youla Parameterization Based Adaptive Wide-Area Damping Control for Power System Oscillations

2014 ◽  
Vol 29 (4) ◽  
pp. 1602-1610 ◽  
Author(s):  
Jing Ma ◽  
Tong Wang ◽  
Shangxing Wang ◽  
Xiang Gao ◽  
Xiangsheng Zhu ◽  
...  
Keyword(s):  
Power System ◽  
Wide Area ◽  
Damping Control ◽  
Youla Parameterization ◽  
Power System Oscillations

Robust H2 Output Feedback Controller Design for Damping Power System Oscillations

2017 ◽  
Vol 6 (10) ◽  
pp. 8
Author(s):  
Kho Hie Kwee ◽  
Hardiansyah .
Keyword(s):  
Power System ◽  
Output Feedback ◽  
Controller Design ◽  
Sufficient Conditions ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Parameter Uncertainties ◽  
Worst Case ◽  
Output Feedback Controller ◽  
Power System Oscillations

This paper addresses the design problem of robust H2 output feedback controller design for damping power system oscillations. Sufficient conditions for the existence of output feedback controllers with norm-bounded parameter uncertainties are given in terms of linear matrix inequalities (LMIs). Furthermore, a convex optimization problem with LMI constraints is formulated to design the output feedback controller which minimizes an upper bound on the worst-case H2 norm for a range of admissible plant perturbations. The technique is illustrated with applications to the design of stabilizer for a single-machine infinite-bus (SMIB) power system. The LMI based control ensures adequate damping for widely varying system operating.

scholarly journals Risk Assessment of Circuit Breakers Using Influence Diagrams with Interval Probabilities

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 737
Author(s):  
Jelena D. Velimirovic ◽  
Aleksandar Janjic
Keyword(s):  
Power System ◽  
Predictive Modelling ◽  
Optimal Time ◽  
Influence Diagrams ◽  
Circuit Breakers ◽  
Interval Probability ◽  
Complex Power ◽  
Interval Width ◽  
Credal Sets ◽  
The One

This paper deals with uncertainty, asymmetric information, and risk modelling in a complex power system. The uncertainty is managed by using probability and decision theory methods. More specifically, influence diagrams—as extended Bayesian network functions with interval probabilities represented through credal sets—were chosen for the predictive modelling scenario of replacing the most critical circuit breakers in optimal time. Namely, based on the available data on circuit breakers and other variables that affect the considered model of a complex power system, a group of experts was able to assess the situation using interval probabilities instead of crisp probabilities. Furthermore, the paper examines how the confidence interval width affects decision-making in this context and eliminates the information asymmetry of different experts. Based on the obtained results for each considered interval width separately on the action to be taken over the considered model in order to minimize the risk of the power system failure, it can be concluded that the proposed approach clearly indicates the advantages of using interval probability when making decisions in systems such as the one considered in this paper.

Analysis of Power System Oscillations From PMU Data Using an EPLL-Based Approach

2018 ◽  
Vol 67 (2) ◽  
pp. 307-316 ◽  
Author(s):  
Hossein Zamani ◽  
Masoud Karimi-Ghartemani ◽  
Mohsen Mojiri
Keyword(s):  
Power System ◽  
Power System Oscillations
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