Target Registration of Electric Power Installation Based on Hybrid Network Model Under the Application of Intelligent Inspection Application

Author(s):  
Yu Hong ◽  
Wei Jie
2014 ◽  
Vol 484-485 ◽  
pp. 665-670
Author(s):  
Qin Xiao

Online power system analysis to electric mode-based on information that will offer a decided in real time the quality of the studies and efficiency of the power system operation precision closely associated with the power system model. Accurate and quick decision based on real-time data analysis needs battle plan deregulation of the power system in all over the world. In addition a significant expansion of electric power system in India in recent times, especially in the 2003 introduction of electricity bill, introduction of open access, electric power market, the appearance of communication through power with complex power system operation and control. Electric power network analysis in real-time data is expected to further improve the critical role of power network operation to repair the proposed law after transmission loss of tariff and share. All this forced the power system real time is accurate, but conditions analysis based on different principles. In order to meet the requirements of all, from the monitoring, commercial, reliability and stability of the Angle, attempt to have been forced to take hybrid network model in natural real-time supervisory control and data acquisition (SCADA) systems work so far a single network model of the integrated. This paper presents a network model for the theory foundation and the same is in the southern area rapidly adapt to load center (SRLDC) Bangalore and utilization of energy management system in India (EMS) real-time systems and tools. It is proved to be how to planning can online network system modeling and analysis of relatively simple in complex operational requirements. The experimental results show that the online power management strategy to adapt to can be a key tool control engineers hand in complex power system operation situations.


2004 ◽  
Vol 124 (1) ◽  
pp. 176-181
Author(s):  
Tomoaki Maruo ◽  
Keinosuke Matsumoto ◽  
Naoki Mori ◽  
Masashi Kitayama ◽  
Yoshio Izumi

2021 ◽  
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Meihang Zhang ◽  
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Author(s):  
Shaojie Liu ◽  
Donghua Zhao ◽  
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Dai Cui

2016 ◽  
Vol 36 (1-2) ◽  
pp. 1600011 ◽  
Author(s):  
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Alex T. Müller ◽  
Gisela Gabernet ◽  
Alexander L. Button ◽  
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...  

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