Possible savings in electricity transmission using wide area monitoring technologies in Croatian power transmission network

2011 ◽  
Author(s):  
Zoran Zbunjak ◽  
Igor Kuzle
Keyword(s):  
Power Transmission ◽  
Wide Area ◽  
Transmission Network ◽  
Electricity Transmission ◽  
Wide Area Monitoring ◽  
Monitoring Technologies ◽  
Area Monitoring

Composite load modeling by spatial-temporal deep attention network based on wide-area monitoring systems

2021 ◽  
pp. 1-12
Author(s):  
Omid Izadi Ghafarokhi ◽  
Mazda Moattari ◽  
Ahmad Forouzantabar
Keyword(s):  
Neural Network ◽  
Short Term Memory ◽  
Wide Area ◽  
Load Modeling ◽  
Wide Area Monitoring ◽  
Training Performance ◽  
Spatial Features ◽  
Temporal Features ◽  
Frequency Domains ◽  
Area Monitoring

With the development of the wide-area monitoring system (WAMS), power system operators are capable of providing an accurate and fast estimation of time-varying load parameters. This study proposes a spatial-temporal deep network-based new attention concept to capture the dynamic and static patterns of electrical load consumption through modeling complicated and non-stationary interdependencies between time sequences. The designed deep attention-based network benefits from long short-term memory (LSTM) based component to learning temporal features in time and frequency-domains as encoder-decoder based recurrent neural network. Furthermore, to inherently learn spatial features, a convolutional neural network (CNN) based attention mechanism is developed. Besides, this paper develops a loss function based on a pseudo-Huber concept to enhance the robustness of the proposed network in noisy conditions as well as improve the training performance. The simulation results on IEEE 68-bus demonstrates the effectiveness and superiority of the proposed network through comparison with several previously presented and state-of-the-art methods.

scholarly journals An enterprise platform for wide area monitoring of load dynamics using Synchronized Measurement Technology

2016 ◽  
Vol 49 (27) ◽  
pp. 85-90 ◽  
Author(s):  
Alexandru Nechifor ◽  
Mihaela Albu ◽  
Richard Hair ◽  
Vladimir Terzija
Keyword(s):  
Wide Area ◽  
Measurement Technology ◽  
Wide Area Monitoring ◽  
Area Monitoring

Integration of power quality and fault data into a PMU-based Wide Area Monitoring System

2021 ◽  
Author(s):  
Paolo Castello ◽  
Carlo Muscas ◽  
Paolo Attilio Pegoraro ◽  
Sara Sulis ◽  
Giorgio Maria Giannuzzi ◽  
...  
Keyword(s):  
Power Quality ◽  
Monitoring System ◽  
Wide Area ◽  
Wide Area Monitoring ◽  
Area Monitoring
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