Applicability evaluation of China's retail electricity price package combining data envelopment analysis and a cloud model

被引:1
|
作者
He Y. [1 ,2 ]
Wang M. [1 ,2 ]
Guang F. [1 ,2 ]
机构
[1] School of Economics and Management, North China Electric Power University, Beijing
[2] Beijing Key Lab. of New Energy and Low-Carbon Development (North China Electric Power University), Beijing
关键词
Applicability evaluation; Cloud model; Data envelopment analysis (DEA); Retail electricity market; Retail electricity price package;
D O I
10.3390/en13010014
中图分类号
学科分类号
摘要
With the reform of the power system, the retail electricity market in China has gradually been liberalized. The mechanism of freely selling electricity have been set up. To grab market share and increase profits, electricity retail companies have introduced a series of retail electricity price packages. To evaluate the applicability of these retail electricity price packages, an adaptive evaluation index system that takes into account the interests of both the power company and the users is first established. Furthermore, an integrated evaluation model that combines data envelopment analysis (DEA) and the cloud model is proposed. In this model, DEA is used to process quantitative indicators and the cloud model is employed to quantify qualitative problems. A case study of Tianjin is conducted to verify the effectiveness of the proposed evaluation system and model. The empirical study shows that qualitative indicators can also affect the applicability of the retail electricity price packages, and the applicability of the retail electricity price package was different in different seasons. Finally, several reliable suggestions on how to design retail electricity price packages are given based on the research. This study provides useful support for customers to choose the price package to increase the competitiveness of power selling companies and ultimately promote the reform of power selling. © 2020 by the authors.
引用
收藏
相关论文
共 50 条
  • [41] Sustainability efficiency evaluation of seaports in China: an uncertain data envelopment analysis approach
    Jiang, Bao
    Li, Yu
    Lio, Waichon
    Li, Jian
    SOFT COMPUTING, 2020, 24 (04) : 2503 - 2514
  • [42] Data envelopment analysis for unified efficiency evaluation: an assessment of regional industries in China
    Zhao, Linlin
    Zha, Yong
    Liang, Nannan
    Liang, Liang
    JOURNAL OF CLEANER PRODUCTION, 2016, 113 : 695 - 704
  • [43] Incremental Data Envelopment Analysis Model and Applications in Sustainable Efficiency Evaluation
    Ji, Ai-bing
    Wei, Bo-wen
    Ma, Yi-yi
    COMPUTATIONAL ECONOMICS, 2024, 64 (01) : 461 - 486
  • [44] Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model
    Lee, Pei Fun
    Lam, Weng Siew
    Lam, Weng Hoe
    MATHEMATICS, 2023, 11 (03)
  • [45] Evaluation and Improvement of the Efficiency of Logistics Companies with Data Envelopment Analysis Model
    Lee, Pei Fun
    Lam, Weng Siew
    Lam, Weng Hoe
    ENGINEERING JOURNAL-THAILAND, 2021, 25 (06): : 45 - 54
  • [46] Efficiency evaluation of industrial waste gas control in China: A study based on data envelopment analysis (DEA) model
    Yang, Weixin
    Li, Lingguang
    JOURNAL OF CLEANER PRODUCTION, 2018, 179 : 1 - 11
  • [47] Impact analysis of China's coal-electricity price linkage mechanism: Results from a game model
    Jiao, Jian-Ling
    Ge, Hong-Zhen
    Wei, Yi-Ming
    JOURNAL OF POLICY MODELING, 2010, 32 (04) : 574 - 588
  • [48] Study on the Evaluation of University's Competitiveness Based on Data Envelopment Analysis
    Liu Xiaoguang
    Yu Ji'an
    Wang Ying
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II, 2010, : 303 - 307
  • [49] COMBINING THE DISCRIMINANT ANALYSIS AND THE DATA ENVELOPMENT ANALYSIS IN VIEW OF MULTIPLE CRITERIA DECISION MAKING: A NEW MODEL
    Bal, Hasan
    Orkcu, H. Hasan
    GAZI UNIVERSITY JOURNAL OF SCIENCE, 2005, 18 (03): : 355 - 364
  • [50] Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections
    Zurano-Cervello, Patricia
    Pozo, Carlos
    Maria Mateo-Sanz, Josep
    Jimenez, Laureano
    Guillen-Gosalbez, Gonzalo
    ENERGY POLICY, 2019, 134