• editor.aipublications@gmail.com
  • Track Your Paper
  • Contact Us
  • ISSN: 2456-7817

International Journal Of Engineering, Business And Management(IJEBM)

Comprehensive Evaluation Model for the Implementation Effect of China's Transmission and Distribution Tariff Reform

Peipei You , Chao Zhang , Huiru Zhao , Sen Guo , Wenquan Liu

International Journal of Engineering, Business And Management(IJEBM), Vol-3,Issue-3, May - June 2019, Pages 77-83 , 10.22161/ijebm.3.3.3

Download | Downloads : 6 | Total View : 1283


Building the comprehensive evaluation model for the implementation effect of the transmission and distribution tariff reforms is crucial to the improvement of the transmission and distribution pricing mechanism, the smooth progress of the power marketization reform, and the sustainable development of the industry in China. An index system for evaluating the implementation effect of transmission and distribution tariff reform was built in four dimensions, which are economic efficiency, safety and reliability, energy saving and environment protection, satisfaction, and this index system contains 12 detailed indicators. For comprehensively evaluate the implementation effect of China's transmission and distribution tariff reform, a hybrid MCDM model which combines the Matter-Element Extension Model with the Best-Worst Method was proposed. The Best-Worst Method was used for criteria weight determination, and the Matter-Element Extension Model was employed to rank the comprehensive performance of implementation effect of the transmission and distribution tariff reforms in China. This paper can provide references for policy-makers to improve the transmission and distribution tariff reform policy.

transmission and distribution tariff reform, comprehensive evaluation model, the matter-element extension model, the best-worst method.

[1] Vedung E. Public policy and program evaluation [M]. London, Transaction Publishers, 1997 Vedung E. Public policy and program evaluation[M]. London, Transaction Publishers, 1997
[2] Patton C, Sawicki D, Clark J. Basic methods of policy analysis and planning[M]. Routledge, 2015.
[3] Kirkpatrick C, Parker D. Regulatory impact assessment and regulatory governance in developing countries[J]. Public Administration and Development, 2004, 24(4): 333-344
[4] Ma Tian. An Empirical Study on the Effect of China's Power Industry Marketization Reform[J]. Lanzhou Academic Journal, 2009 (6): 83-86
[5] Zhang Song. Performance Evaluation of Power Industry Supervision Policy [D]. Dongbei University of Finance and Economics, 2007
[6] Li Hanfang. Research on Performance Evaluation Index System and Evaluation Model of China's Power Market[D]. Beijing: North China Electric Power University, 2008
[7] Zhou Lihua. Performance Evaluation of China's Power Industry Reform[D]. Shandong University, 2012
[8] Feng Yongzhen, Wang Junjie. Should Peak and Valley Electricity Prices Be Introduced after Ladder Price? ——Price Subsidy and Efficiency Cost Estimation for Chinese Residents' Electricity Price Policy[J]. Finance and Economy of China, 2016, 37(2): 145-158
[9] Zeng Ming, LI Na, LIU Chao. Evaluation of Power Saving Effect of Residential Ladder Price Based on Utility Function[J]. East China Electric Power, 2011, 39(8): 1215-1219
[10] RIIO-ET1 Annual Report 2015-2016. https://www.ofgem.gov.uk/
[11] Liu Shengli, Cao Yang, Feng Yueliang, et al. Research and Application of Investment Benefit Evaluation and Decision Model for Distribution Network[J]. Power System Protection and Control, 2015(2): 119-125.
[12] Liu Jianmin, Wang Dong, Li Shenwei, et al. Research on the Comprehensive Impact of Power Transmission and Distribution Price Reform on Power Grid Enterprises and Optimization Control[J]. Management Review, 2017(1): 23-25.
[13] Xiao Xiaoxin. Reliability Management of Distribution Network Power Supply and Its Application in Production Management[J]. City Construction Theory Research: Electronic Edition, 2016(6).
[14] Han Lei. Research on reliability algorithm of distribution network considering distributed power supply[D]. Shandong University, 2009.
[15] Yao Haiyan, Guo Jianfu. In-depth analysis and improvement measures on the average number of user power outages [C]// China Electrical Engineering Society Reliability Professional Committee, Urban Power Supply Professional Committee 2010 Academic Annual Meeting. 2010.
[16] Guan Dabo, Yuli Shan, Liu Zhu, et al. Performance Evaluation and Outlook of China Emissions Trading Scheme [J]. Engineering, 2016(4).
[17] JI Wei, ZHAI Xiangrong, ZHANG Zhongyuan, et al. Construction mode and implementation method of SF_6 gas recovery and purification treatment center in Gansu Power Grid[J]. Journal of Mechanical Research and Application, 2008, 21(6): 75-76.
[18] Li Hongze, Guo Sen, Tang Hui, et al. Comprehensive Evaluation of Power Quality Based on Improved Variable Weight Matter Element Extension Model[J]. Power System Technology, 2013, 37(3): 653-659.
[19] Rezaei J. Best-worst multi-criteria decision-making method[J]. Omega, 2015, 53: 49-57.
[20] Guo S, Zhao H. Fuzzy best-worst multi-criteria decision-making method and its applications[J]. Knowledge-Based Systems, 2017, 121: 23-31.