Reliability analysis for electric power systems of more-electric aircraft based on the minimal path set

2019 ◽  
Vol 19 (4) ◽  
pp. 1017-1026
Author(s):  
Yingchun Zhao ◽  
Huidong Wu ◽  
Jin Cai ◽  
Xudong Shi
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 169314-169332 ◽  
Author(s):  
Ashkan Barzkar ◽  
Mona Ghassemi

2013 ◽  
Vol 846-847 ◽  
pp. 126-133 ◽  
Author(s):  
Jian Bo Hu ◽  
Fei Li ◽  
Jun Wu ◽  
Jian Hao Wang ◽  
Li Peng Zhang

More Electric Aircraft (MEA), which is the developing trend of the next generation of aircraft, put forward high demands on the electric power system. Cyber-Physical Systems (CPS) are a kind of novel intelligent systems with computation resources and controlled physical objects tightly integrated and interacted in the future network environment. CPS have the characteristics of real-time, synchronous, security, efficient and autonomous. This paper first elaborates the notion, characteristics, operation mechanism and technical challenges of CPS. The strategy of CPS-based next aviation electric power systems is presented. Then, the architecture of aviation electric power cyber physical systems is established. Finally, key technologies of aviation electric power cyber physical systems, including data bus, control strategies, energy management, security analysis, modeling and simulation, standardized and so on, are discussed. And directions are pointed out to offer a reference for the application of CPS in aviation electric power systems.


2012 ◽  
Vol 1 (4) ◽  
pp. 70-88 ◽  
Author(s):  
Sergey Perzhabinsky ◽  
Valery Zorkaltsev

This paper addresses the model for power shortage estimation in electric power systems. The model’s main component of methodology for analysis of electric power system (EPS) reliability that has been developed at the Energy Systems Institute, Siberian Branch of Russian Academy Sciences. The methodology is based on the Monte-Carlo method. Quality and implementation time of reliability analysis depend on realization of the model. The model is implemented in the computational software for electric power systems reliability analysis. The history of evolution of the model for power shortage estimation and mathematical properties of the model are discussed. The results of the state-of-the-art studies of the model for power shortage estimation in EPS are presented. The model for power shortage estimation in EPS with quadratic power losses in power lines is considered. Algorithms of the interior point method with quadratic approximations of constraints applied for realization of the model are discussed. Results of experimental studies of the algorithms are presented.


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