Journal of Finance and Accounting
Volume 4, Issue 2, March 2016, Pages: 58-63
Received: Apr. 13, 2016;
Published: Apr. 15, 2016
Views 3808 Downloads 167
Zhongfu Yu, The Economics and Management Department, North China Electric Power University, Beijing, China
Shengfan Ye, The Economics and Management Department, North China Electric Power University, Beijing, China
Shuyuan Tang, The Economics and Management Department, North China Electric Power University, Beijing, China
Power supply companies undertake the important duties of transmission, distribution, the sales of electricity and other social services in the power system, the quality of whose operating conditions directly affect the sustainable development of the corporations and the normal operation of the entire electricity market. The tailored and comprehensive evaluation system to operating conditions in power supply companies has a practical significance. Considering the important role of Power supply companies plays in the national econony, the paper is to develop a performance evaluation index system and comprehensive evaluation model, hoping to provide references for the future performance evaluation management in the power supply enterprises. Based on the concept of comprehensive value, this paper has constructed the "four-dimensional" comprehensive performance evaluation system combined with the operating characteristics, including the circumstances, the quality of assets, the service level and performance level. Meanwhile, a comprehensive evaluation model is built by the Structural Entropy Weight Method and TOPSIS Method and six power supply companies are taken as sample companies. Empirical analysis results verify the effectiveness of the method. The study proposes a new concept of comprehensive value, develops a new method for performance evaluation of power supply companies.
Research on Evaluating the Operation of Power Supply Companies, Journal of Finance and Accounting.
Vol. 4, No. 2,
2016, pp. 58-63.
Jia Zhengyuan, Wang Chunmei, Huang Zhiwei, Zhang Gang. Evaluation Research of Regional Power Grid Companies' Operation Capacity based on Entropy Weight Fuzzy Comprehensive Model. Procedia Engineering 2011 (15): 4626–4630.
Yuanchao Hu, Ling Ruan, Jiangjun Ruan, Qijia Xie, Tao Huang, Zhizheng Li, Evaluation on Intelligent Renovation of Substations Based on Improved TOPSIS, Power System Technology, 10: 42-48, 2012.
Qingyou Yan, Zhouyang Li, Assessment on Economic Evaluation of Smart Grid Based on TOPSIS Method and Grey Correlation Degree Analysis, 02: 179-184, 2016.
Qiyue Cheng, The structure entropy method to evaluate index weights, the theory and practice for engineering systems, 1225-1229, 30 (7) (2010).
Ying Zeng, Wenhong Zhu, The evaluation method of the reliability of the ICT communication network based on the law of entropy power structure, East China Electric Power, 0097-0100, 42 (1) (2014).
Yanbin Li, Xinyi Yu, Zhijie Wang, The risky evaluation research on the power generation project with the help of the gray correlation and TOPSISI method, Power System Technology, 1514-1519, 37(6) (2013).
Xianchang Cao, Jinyuan Shi, Anzong Jiang, etc, The quantitative and risky research on the error of the power station equipment based on the fuzzy mathematics, Proceedings of the csee, 93-100, 25(23) (2005).
Xuebin Li, The multi-objective and decision research on the distribution of the overloading of the power plant, Proceedings of the csee, 102-107, 28(35) (2008).
Jiekang Wu, Li Tang, The multi-objective stochastic scheduling model for the hydrothermal power systems based on the interactive fuzzy chance constrained programming, Proceedings of the csee, 26-34, 31(25) (2011).
Qian Wang, Lizi Zhang, The multi-objective network planning of the wind power plant using the hybrid intelligent algorithm of NSGA-II, Proceedings of the csee, 17-24, 31(19) (2011).
Xinran Li, Yanghua Liu, Xiangyou Zhu, etc, The evaluation index system and its application on the grid construction scale, Proceedings of the csee, 17-24, 26(17) (2006).
Yong Xiang, Hong Ran, The evaluation studies on smart city based on ANP-TOPSIS method, The Industrial technology economics, 131- 136, 04(2014).