Wu Naihu
Shandong Electric Power Research Institute, Shandong Electric Power Corporation, Jinan, 250002, China
Jiang Zhe
Shandong Electric Power Research Institute, Shandong Electric Power Corporation, Jinan, 250002, China
Zhang Dandan
Shandong Electric Power Research Institute, Shandong Electric Power Corporation, Jinan, 250002, China
Zeng Ming
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Duan Kaiyan
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Ma Mingjuan
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Xue Song
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Li Yulong
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
ABSTRACT
With the high-speed construction of intelligent power grid, a large number of intelligent factors, including sensors, smart meter and renewable energy facilities, will change the structure of power network and increase power grid operation risk. Moreover, power grid structure will become increasingly complex and uncertain factors have an expansion influence under a growing scale of grid. So, transmission system will face greater potential risks. Six aspects of the risks in smart grid system, namely transmission equipment risk, the spare capacity risk, running environment risk, network structure risk, design standard risk and the access risk of renewable energy, are analyzed in this study. On this basis, the fuzzy comprehensive evaluation method is applied to build risk evaluation index system of smart transmission system and the experts opinions and the Delphi method are combined to calculate the weight coefficient of various factors. Finally, the comments set are assigned and the fuzzy value of each factor is calculated and then evaluates each factors influence degree to the risk of intelligence transmission system.
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How to cite this article
Wu Naihu, Jiang Zhe, Zhang Dandan, Zeng Ming, Duan Kaiyan, Ma Mingjuan, Xue Song and Li Yulong, 2013. Risk Analysis and Assessment of the Intelligent Transmission System. Journal of Applied Sciences, 13: 3742-3746.
DOI: 10.3923/jas.2013.3742.3746
URL: https://scialert.net/abstract/?doi=jas.2013.3742.3746
DOI: 10.3923/jas.2013.3742.3746
URL: https://scialert.net/abstract/?doi=jas.2013.3742.3746
REFERENCES
- Yu, P.W., H. Hou and K.G. Hao, 2009. Research on multilevel fuzzy comprehensive evaluation of software requirements specification quality. Appl. Res. Comput., 26: 2492-2494.
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