"Taking the pulse" of Power Systems: Monitoring Oscillations by Wavelet Analysis and Wide Area Measurement System

2006 ◽  
Author(s):  
S. Bruno ◽  
M. De Benedictis ◽  
M. La Scala
Keyword(s):  
Wavelet Analysis ◽  
Power Systems ◽  
Measurement System ◽  
Area Measurement ◽  
Wide Area ◽  
Wide Area Measurement System

scholarly journals Wide-Area Measurement System-Based Optimal Multi-Stage Under-Frequency Load-Shedding in Interconnected Smart Power Systems Using Evolutionary Computing Techniques

2019 ◽  
Vol 9 (3) ◽  
pp. 508 ◽  
Author(s):  
Hassan Alhelou ◽  
Mohamad Hamedani-Golshan ◽  
Takawira Njenda ◽  
Pierluigi Siano
Keyword(s):  
Power Systems ◽  
Measurement System ◽  
Evolutionary Computing ◽  
Test System ◽  
Load Shedding ◽  
Area Measurement ◽  
Wide Area ◽  
Stable Mode ◽  
Wide Area Measurement System ◽  
Multi Stage

Power systems that are known as the most complex systems encounter different types of disturbances and emergence events. To operate such systems in a stable mode, several control protection techniques are in need. Frequency plays a vital role in power systems and needs to be properly maintained in a permissible level. To this end, under-frequency load-shedding (UFLS) techniques are used to intercept the frequency decline when a system encounters a severe disturbance. In this paper, a novel, wide-area measurement system (WAMS)-based optimal UFLS technique is proposed. The system frequency response (SFR) model is identified online based on the real-time measurements collected by phasor measurement units (PMUs). Then, the SFR model is used to design a new optimal multi-stage UFLS scheme. Imperialist competitive algorithm (ICA), which is a powerful evolutionary computing method, is then adopted for solving the suggested multi-stage UFLS optimization problem. The applicability of the proposed method is shown on a practical test system. The effectiveness of the proposed optimal multi-stage UFLS scheme is verified by several simulation and comparison scenarios.

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