Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau

Jing Xu, Meng Ye, Xianyi Peng and Zhi Li

Energy Policy, 2019, vol. 129, issue C, 975-984

Abstract: Electric security is closely related to all aspects of the national macro-economy, but when it comes into considering power policies, the subject of exploring the reasons for large area power outages is often considered as a “separate subject”. This paper proposes a novel evaluation method to analyze and determine the main factors that are commonly found within unsustainable electric power system. This method integrates the fuzzy clustering method, fault tree analysis and an analytic hierarchy process. First, it builds a classification for different factors based on Faulty Tree Analysis methods. Then, the logical relationships between each factors are prioritized and determined. Once the logical hierarchies are established, the Entropy-House of Quality for quantitative analysis is employed to support big blackout prevention and decision-making for various influential factors. Finally, Sichuan province are given to verify its effectiveness so that the policy-makers and security regulators in China can follow its recommendations to create a better electricity supply security management and a more sustainable energy reform in the future.

Keywords: Blackout; Influential factor analysis; Faulty tree analysis; Entropy-house of quality (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:129:y:2019:i:c:p:975-984

DOI: 10.1016/j.enpol.2019.03.011

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