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Applicability Evaluation of China’s Retail Electricity Price Package Combining Data Envelopment Analysis and a Cloud Model

Author

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  • Yongxiu He

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206, China)

  • Meiyan Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206, China)

  • Fengtao Guang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206, China)

Abstract

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.

Suggested Citation

  • Yongxiu He & Meiyan Wang & Fengtao Guang, 2019. "Applicability Evaluation of China’s Retail Electricity Price Package Combining Data Envelopment Analysis and a Cloud Model," Energies, MDPI, vol. 13(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:6-:d:299182
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    References listed on IDEAS

    as
    1. Torabi Haghighi, Ali & Ashraf, Faisal Bin & Riml, Joakim & Koskela, Jarkko & Kløve, Bjørn & Marttila, Hannu, 2019. "A power market-based operation support model for sub-daily hydropower regulation practices," Applied Energy, Elsevier, vol. 255(C).
    2. Loi, Tian Sheng Allan & Jindal, Gautam, 2019. "Electricity market deregulation in Singapore – Initial assessment of wholesale prices," Energy Policy, Elsevier, vol. 127(C), pages 1-10.
    3. Hartley, Peter R. & Medlock, Kenneth B. & Jankovska, Olivera, 2019. "Electricity reform and retail pricing in Texas," Energy Economics, Elsevier, vol. 80(C), pages 1-11.
    4. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
    5. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.
    6. Szőke, Tamás & Hortay, Olivér & Balogh, Eszter, 2019. "Asymmetric price transmission in the Hungarian retail electricity market," Energy Policy, Elsevier, vol. 133(C).
    7. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    8. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    9. Brown, David P. & Eckert, Andrew, 2018. "The effect of default rates on retail competition and pricing decisions of competitive retailers: The case of Alberta," Energy Policy, Elsevier, vol. 118(C), pages 298-311.
    10. Yang, Yingkui, 2014. "Understanding household switching behavior in the retail electricity market," Energy Policy, Elsevier, vol. 69(C), pages 406-414.
    11. Bae, Mungyu & Kim, Hwantae & Kim, Eugene & Chung, Albert Yongjoon & Kim, Hwangnam & Roh, Jae Hyung, 2014. "Toward electricity retail competition: Survey and case study on technical infrastructure for advanced electricity market system," Applied Energy, Elsevier, vol. 133(C), pages 252-273.
    12. Chen, Wei-Ming, 2019. "The U.S. electricity market twenty years after restructuring: A review experience in the state of Delaware," Utilities Policy, Elsevier, vol. 57(C), pages 24-32.
    13. Ahmed, Tauqir & Bhatti, Arshad Ali, 2019. "Do power sector reforms affect electricity prices in selected Asian countries?," Energy Policy, Elsevier, vol. 129(C), pages 1253-1260.
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