Reduced-order Damping Controller Design for Power Systems via Frequency-weighted Model Reduction

2021 ◽  
Author(s):  
Muhammad Mudassar ◽  
Umair Zulfiqar ◽  
Victor Sreeram ◽  
Muwahida Liaquat ◽  
Ahmad Jazlan
Keyword(s):  
Power Systems ◽  
Model Reduction ◽  
Controller Design ◽  
Reduced Order ◽  
Weighted Model ◽  
Damping Controller

scholarly journals Frequency Weighted Model Order Reduction Technique and Error Bounds for Discrete Time Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Muhammad Imran ◽  
Abdul Ghafoor ◽  
Victor Sreeram
Keyword(s):  
Frequency Response ◽  
Model Reduction ◽  
Discrete Time ◽  
Error Bounds ◽  
Reduced Order Models ◽  
Reduced Order ◽  
Reduction Techniques ◽  
Discrete Time Systems ◽  
Weighted Model ◽  
Time Systems

Model reduction is a process of approximating higher order original models by comparatively lower order models with reasonable accuracy in order to provide ease in design, modeling and simulation for large complex systems. Generally, model reduction techniques approximate the higher order systems for whole frequency range. However, certain applications (like controller reduction) require frequency weighted approximation, which introduce the concept of using frequency weights in model reduction techniques. Limitations of some existing frequency weighted model reduction techniques include lack of stability of reduced order models (for two sided weighting case) and frequency response error bounds. A new frequency weighted technique for balanced model reduction for discrete time systems is proposed. The proposed technique guarantees stable reduced order models even for the case when two sided weightings are present. Efficient technique for frequency weighted Gramians is also proposed. Results are compared with other existing frequency weighted model reduction techniques for discrete time systems. Moreover, the proposed technique yields frequency response error bounds.

WAMS-Based SSR Damping Controller Design for FACTS Devices and Investigating Effects of Communication Delays

2015 ◽  
Vol 6 (4) ◽  
pp. 736
Author(s):  
Mortaza Farsadi ◽  
Arash Ghasemi
Keyword(s):  
Power Systems ◽  
Controller Design ◽  
System Stability ◽  
Area Measurement ◽  
Wide Area ◽  
Feedback Signal ◽  
Communication Delays ◽  
Destructive Effect ◽  
Loop Control ◽  
Damping Controller

Recent technological progresses in the wide-area measurement systems (WAMS) are realizing the centralized controls as a breakthrough for improving the power systems stability. The most challenging deficiency against WAMS technology is related to communication delays. If this latency is neglected, it can deteriorate the damping performance of closed loop control or even degrade the system stability. This paper investigates a conventional Wide Area Damping Controller (WADC) for a static synchronous series compensator (SSSC) to damp out the Sub-Synchronous Resonance (SSR) and also investigation of the destructive effect of time delay in remote feedback signal. A new optimization algorithm called teaching-learning-based- optimization (TLBO) algorithm has been implemented to normalize and optimize the parameters of the global SSR damping controller. The IEEE Second Benchmark Model is considered as the system under study and all simulations are carried out in MATLAB/SIMULINK environment.

Model Reduction and Controller Design of a DC-DC Converter

2014 ◽  
Vol 548-549 ◽  
pp. 715-718
Author(s):  
Lin Bing Wang ◽  
Jia Jia Liu ◽  
Hai Fei Chen ◽  
Yue She ◽  
Yang Zhou Wang
Keyword(s):  
Transfer Function ◽  
Model Reduction ◽  
Controller Design ◽  
Small Signal ◽  
Signal Model ◽  
Forward Converter ◽  
Reduced Order ◽  
Small Signal Model ◽  
Proposed Model ◽  
Bode Plots

The reduced-order small-signal model and controller design of a two-transistor forward converter（TTFC）are presented in this paper. First, the small-signal circuit model and transfer function of control to output are found for the TTFC. Then by finding dominant energy poles of the transfer function, the model reductions are performed and the controller design of the converter is simplified. The effective of the proposed model reduction and controller design are demonstrated by bode plots and experimental results.

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