Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model
International Journal of Energy and Power Engineering
Volume 3, Issue 6-1, December 2014, Pages: 13-18
Received: Aug. 19, 2014;
Accepted: Aug. 22, 2014;
Published: Oct. 20, 2014
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Na-na Li, School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Hui-ru Zhao, School of Economics and Management, North China Electric Power University, Beijing, 102206, China
In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.
Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model, International Journal of Energy and Power Engineering. Special Issue: Energy Conservation and Management.
Vol. 3, No. 6-1,
2014, pp. 13-18.
Tian-you Li, Hui-ru Zhao, et al. Short interruption and its cost appraisal [J]. Automation of Electric Power Systems.2012,36(20):59-63.
Xiao Chen, Jian-xing Wang, et al. Research on the power outage cost and its estimation in the electric power network[J]. Kunming Polytechnic University School Report,2003,28(1):53-58.
Rui Li, Yue Li. Power supply interruption cost of important power consumers in distribution network and its emergency management [J]. Power system technology, 2011,35(10):170-176.
Guan-quan Wan, Zhen Ren. Calculation of customer’s outage cost considering feeder automation. Power system technology.2005,29(1):24-31.
Aaron J. Praktiknjo, Alexander Hahnel. Assessing energy supply security: Outage costs in private households[J].Energy Polocy.2011,(39)12: 7825–7833
Chun-Lien Su, Jen-Ho Teng. Outage costs quantification for benefit–cost analysis of distribution automation systems[J]. Electrical Power and Energy Systems.2007,29:767-774
An-jia Mao, Chao-zhong Xiong, et al. Research on load outage cost assessment based on the improved Tobit model[J]. Automation of Electric Power Systems.2010,34(9):29-33
Chang Xin. Electric Reliability management infrastructure [M]. China Electric Power Press .2012:8-22.
Hui-ru Zhao, Na-na Li, Tian-you Li, et al. Outage consequence assessment for distribution network failure objects based on AHP and Cloud model[J]. East China Electric Power. 2013(7): 1456-1460.
Jing Li. Power off loss in distribution system and its estimation methods[J].Agricultual science and technology and equipment.2008,5:38-41.
Morteza Pakdin Amiri. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods [J]. Expert Systems with Applications.2010, 37:6218-24.
Maggie C.Y. Tama, V.M. Rao Tummala. An application of the AHP in vendor selection of a telecommunications system [J]. Omega 2001,29: 171-182.
Ling-ling Li, Li-xin Liu. The Comprehensive Evaluation of Smart Distribution Grid Based on Cloud Model [J]. Energy Procedia. 2012,17: 96 – 102.
Tao Wang, Ji Zhang, Lin-li Wu, et al. Comprehensive assessment on air quality of urban road environment based on improved gray- clustering method [J]. Environmental Engineering.2009,27(2):38-41.
Yan-qin Ma. Assessment of city atmospheric environment quality by improved gray cluster relation analysis method[J]. Journal of Shandong polytechnic university.2013,27(2):63-65.
Hui-ru Zhao, Na-na Li. Comprehensive evaluation of urban power network planning risk based on AHP- gray triangle whiten function. [J]. Shangxi electric power. 2013(10): 14-18.