Risk Analysis of Grid Operational Performance Influencing Factors Based on ISM-Model

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Abstract:

The ISM model is applied to the influencing factors risk analysis of grid operational performance. The research constructed multilevel hierarchical structure diagram by the association between various factors and reflected the hierarchical relationship of the index intuitively. Select a large driving force factors as the core influencing factors and develop a risk prediction radar diagram to provide a theoretical basis for grid operational performance improving. A provincial power grid company provides the data for empirical analysis to explore the applicability of the model.

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Periodical:

Advanced Materials Research (Volumes 986-987)

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512-515

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wu Yunna, Bian Qing. Wind turbine based on ISM model analysis of factors affecting cost control of construction project [J]. Journal of Wuhan University of technology (communications science and Engineering Edition). (2012): 257-261.

Google Scholar

[2] Liu Min. Power grid Corporation a strong three-excellent, techno-economic study on the evaluation index system of [D]. Changsha University. 2007. 04.

Google Scholar

[3] Han Jinshan, Tan Zhongfu. General interpretative structural model of power system [J]. Power system automation. (2008): 42-49.

Google Scholar

[4] Li Ziquan, Guo Xiuying, Li Jingyu. ISM analysis on the factors affecting the cost [J]. Modern economic information. 2012 (2): 290-291.

Google Scholar

[5] He Yongxiu, Tao Weijun, Yang Weihong, Dai Aiying, Cai Qi, Furong LI. urban power load forecasting based on interpretative structural modeling [J]. Power system automation. (2009): 37-42.

Google Scholar

[6] Shu Xiaohui, Chen Yifei, Gui Wenlin, Liu Jianping. Application of radar in the listed company finance early warning [J]. Statistics and decision making. 2005. 03: 34-37.

Google Scholar