Specific Risks Assessment of Resource-Based Urban Power Network Planning

Article Preview

Abstract:

Western resource-based city (WRC) develops rapidly under the develop-the-west and energy resource development strategy. Both of the economy growth and the resource exploitation will make greater demands on the science of power network planning. Therefore, urban power network planning will face more specific risks. Based on fuzzy membership theory, this paper studies the risk identification of WRC power network planning, and summarizes the key risks. Finally, we identify the risks from aspects of policy, economy, environment and load systematically, establish an evaluation index system of specific risks of WRC power network planning, and provide fundamental decisions for risk aversion of WRC power network.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1619-1622

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wei Sun, Yue Ma. Risk assessment in electrical power network planning project based on principal component analysis and support vector machine[C]/Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on. IEEE, 2008: 5268-5271.

DOI: 10.1109/wcica.2008.4593786

Google Scholar

[2] Renjie Guo, Jianxin Wang. Risk Assessment in Power Network Planning considering the Effects of Meteorological Conditions [J]. YunNan Electric Power Group, 2009, 37(2): 29-43.

Google Scholar

[3] Shanshan Zhao, Dongxia Zhang, Yonghua Yin. Risk Assessment of Intelligent Power Grid [J]. Power Grid Technology, 2009, 33(19): 7-10.

Google Scholar

[4] Yongxiu He, Aiying Dai, Weihong Yang. Risk Identification and Examination of Urban Power Grid Planning based on Fuzzy Theory [J]. Power Grid Technology, 2010, 34(9): 128-131.

Google Scholar

[5] Xinpin Huang. Risk Identification and Coping Strategy of Power Grid Planning Project [D], North China Electric Power University, (2011).

Google Scholar