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Green Power Trade Behavior in China’s Renewable Portfolio Standard: An Evolutionary Game-Based System Dynamics Approach

Author

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  • Chunning Na

    (School of Physics & Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China)

  • Can Jin

    (School of Physics & Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China)

  • Huan Pan

    (School of Physics & Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China)

  • Lixia Ding

    (Eco-Tech Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750004, China)

Abstract

To promote the consumption of renewable energy (RE), in 2019, China introduced the Renewable Portfolio Standard (RPS) and adopted the weight of consumption responsibility to replace the quota index. This paper investigates the behavioral decisions of green power plants and power sales companies using evolutionary game theory. The results show that RPS becomes effective based on two rules: (1) the unit fine is higher than the transaction cost for power sales companies; and (2) the transaction prices of RE and Trade of Green Certificate (TGC) are greater than the unit transaction cost for green power plants. Taking Ningxia Hui Autonomous Region as an example, the scenario analysis method and a simple system dynamics model are employed to investigate the impact of fines on the green power trade behavior. With different fines, power sales companies are more sensitive than green power plants. These results provide some policy recommendations to promote the consumption of RE.

Suggested Citation

  • Chunning Na & Can Jin & Huan Pan & Lixia Ding, 2022. "Green Power Trade Behavior in China’s Renewable Portfolio Standard: An Evolutionary Game-Based System Dynamics Approach," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5155-:d:801411
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    References listed on IDEAS

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    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Wang, Bing & Wei, Yi-Ming & Yuan, Xiao-Chen, 2018. "Possible design with equity and responsibility in China’s renewable portfolio standards," Applied Energy, Elsevier, vol. 232(C), pages 685-694.
    3. Zhu, Chaoping & Fan, Ruguo & Lin, Jinchai, 2020. "The impact of renewable portfolio standard on retail electricity market: A system dynamics model of tripartite evolutionary game," Energy Policy, Elsevier, vol. 136(C).
    4. Upton, Gregory B. & Snyder, Brian F., 2017. "Funding renewable energy: An analysis of renewable portfolio standards," Energy Economics, Elsevier, vol. 66(C), pages 205-216.
    5. Jiahai Yuan & Chunning Na & Yan Xu & Changhong Zhao, 2016. "Feed-In Tariff for Onshore Wind Power in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(6), pages 1427-1437, June.
    6. García-Álvarez, María Teresa & Cabeza-García, Laura & Soares, Isabel, 2017. "Analysis of the promotion of onshore wind energy in the EU: Feed-in tariff or renewable portfolio standard?," Renewable Energy, Elsevier, vol. 111(C), pages 256-264.
    7. Liu, Dunnan & Liu, Mingguang & Xu, Erfeng & Pang, Bo & Guo, Xiaodan & Xiao, Bowen & Niu, Dongxiao, 2018. "Comprehensive effectiveness assessment of renewable energy generation policy: A partial equilibrium analysis in China," Energy Policy, Elsevier, vol. 115(C), pages 330-341.
    8. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Liu, Feng, 2021. "Provincial allocation of renewable portfolio standard in China based on efficiency and fairness principles," Renewable Energy, Elsevier, vol. 179(C), pages 1233-1245.
    9. Sanya Carley & Lincoln L. Davies & David B. Spence & Nikolaos Zirogiannis, 2018. "Empirical evaluation of the stringency and design of renewable portfolio standards," Nature Energy, Nature, vol. 3(9), pages 754-763, September.
    10. Fang, Debin & Zhao, Chaoyang & Kleit, Andrew N., 2019. "The impact of the under enforcement of RPS in China: An evolutionary approach," Energy Policy, Elsevier, vol. 135(C).
    11. Yang, Peiwen & Dong, Jun & Lin, Jin & Liu, Yao & Fang, Debin, 2021. "Analysis of offering behavior of generation-side integrated energy aggregator in electricity market:A Bayesian evolutionary approach," Energy, Elsevier, vol. 228(C).
    12. Kwon, Tae-hyeong, 2020. "Policy mix of renewable portfolio standards, feed-in tariffs, and auctions in South Korea: Are three better than one?," Utilities Policy, Elsevier, vol. 64(C).
    13. Fugui Dong & Lei Shi & Xiaohui Ding & Yuan Li & Yongpeng Shi, 2019. "Study on China’s Renewable Energy Policy Reform and Improved Design of Renewable Portfolio Standard," Energies, MDPI, vol. 12(11), pages 1-23, June.
    14. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
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