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Optimal Allocation Scheme of Renewable Energy Consumption Responsibility Weight under Renewable Portfolio Standards: An Integrated Evolutionary Game and Stochastic Optimization Approach

Author

Listed:
  • Yang Tang

    (Hubei Power Exchange Center, Wuhan 430072, China)

  • Yifeng Liu

    (Hubei Power Exchange Center, Wuhan 430072, China)

  • Weiqiang Huo

    (Hubei Power Exchange Center, Wuhan 430072, China)

  • Meng Chen

    (Hubei Power Exchange Center, Wuhan 430072, China)

  • Shilong Ye

    (College of Letter and Science, University of California Davis, Davis, CA 95618, USA)

  • Lei Cheng

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

Abstract

Developing renewable energy has become a major strategy for China to accelerate the energy transition and combat climate change. Accordingly, a guarantee mechanism for renewable energy consumption with renewable portfolio standards (RPS) has been set in China. However, currently, the top-down allocation of regional renewable energy consumption targets often has issues of unfairness and inefficiency. It is necessary to investigate the issue of how to stimulate the renewable energy consumption potential on the demand side and reasonably formulate the consumption responsibility weights of various market entities. This paper aimed to develop a new methodology for the weight allocation of renewable energy consumption responsibilities. In doing so, an integrated model of an evolutionary game and stochastic optimization was constructed between market entities and governments. Then, the equilibrium strategies of market entities and governments were obtained through the evolutionary game. Furthermore, based on the equilibrium strategies, this paper optimized the renewable energy consumption weight of each market entity, which constitutes the optimal allocation scheme of renewable energy consumption responsibility weights. Finally, using the data of 7069 market entities in Hubei Province in 2021, this study simulated the model to verify its effectiveness and practicability. The results indicate that the willingness of market entities to assume more consumption responsibility is positively correlated with the government’s incentives and the maturity of the green electricity trading market. This study provides important implications for optimizing government regulations and promoting renewable energy consumption.

Suggested Citation

  • Yang Tang & Yifeng Liu & Weiqiang Huo & Meng Chen & Shilong Ye & Lei Cheng, 2023. "Optimal Allocation Scheme of Renewable Energy Consumption Responsibility Weight under Renewable Portfolio Standards: An Integrated Evolutionary Game and Stochastic Optimization Approach," Energies, MDPI, vol. 16(7), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3085-:d:1109924
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    References listed on IDEAS

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    1. Xu, Jiuping & Yang, Guocan & Wang, Fengjuan & Shu, Kejing, 2022. "A provincial renewable portfolio standards-based distribution strategy for both power plant and user: A case study from Guangdong, China," Energy Policy, Elsevier, vol. 165(C).
    2. Chai, Song & Liu, Qiyun & Yang, Jin, 2023. "Renewable power generation policies in China: Policy instrument choices and influencing factors from the central and local government perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    3. Farooq, Muhammad Khalid & Kumar, S. & Shrestha, Ram M., 2013. "Energy, environmental and economic effects of Renewable Portfolio Standards (RPS) in a Developing Country," Energy Policy, Elsevier, vol. 62(C), pages 989-1001.
    4. Li, Tianyu & Gao, Ciwei & Chen, Tao & Jiang, Yu & Feng, Yingchun, 2022. "Medium and long-term electricity market trading strategy considering renewable portfolio standard in the transitional period of electricity market reform in Jiangsu, China," Energy Economics, Elsevier, vol. 107(C).
    5. Xin-gang, Zhao & Pei-ling, Li & Ying, Zhou, 2020. "Which policy can promote renewable energy to achieve grid parity? Feed-in tariff vs. renewable portfolio standards," Renewable Energy, Elsevier, vol. 162(C), pages 322-333.
    6. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    7. 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.
    8. Choi, Gobong & Huh, Sung-Yoon & Heo, Eunnyeong & Lee, Chul-Yong, 2018. "Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio standard in promoting renewable electricity generation," Energy Policy, Elsevier, vol. 113(C), pages 239-248.
    9. Pan, Yuling & Dong, Feng, 2023. "Green finance policy coupling effect of fossil energy use rights trading and renewable energy certificates trading on low carbon economy: Taking China as an example," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 658-679.
    10. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    11. 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).
    12. Jamal Mamkhezri & Leonard A. Malczynski & Janie M. Chermak, 2021. "Assessing the Economic and Environmental Impacts of Alternative Renewable Portfolio Standards: Winners and Losers," Energies, MDPI, vol. 14(11), pages 1-23, June.
    13. Wenhui Zhao & Xiongjiantao Bao & Guanghui Yuan & Xiaomei Wang & Hongbo Bao, 2019. "The Equilibrium Model for the Coexistence of Renewable Portfolio Standards and Emissions Trading: The Supply Chain Analysis," Energies, MDPI, vol. 12(3), pages 1-29, January.
    14. Xiao, Kun & Yu, Bolin & Cheng, Lei & Li, Fei & Fang, Debin, 2022. "The effects of CCUS combined with renewable energy penetration under the carbon peak by an SD-CGE model: Evidence from China," Applied Energy, Elsevier, vol. 321(C).
    15. Hamza Gribiss & Mohammad Mohsen Aghelinejad & Farouk Yalaoui, 2023. "Configuration Selection for Renewable Energy Community Using MCDM Methods," Energies, MDPI, vol. 16(6), pages 1-23, March.
    16. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Yang, Yang & Wang, Yu, 2021. "Will China achieve its renewable portfolio standard targets? An analysis from the perspective of supply and demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    17. Pan, Yuling & Dong, Feng, 2023. "Factor substitution and development path of the new energy market in the BRICS countries under carbon neutrality: Inspirations from developed European countries," Applied Energy, Elsevier, vol. 331(C).
    18. Chang-Gi Min & Jong Keun Park & Don Hur & Mun-Kyeom Kim, 2015. "The Economic Viability of Renewable Portfolio Standard Support for Offshore Wind Farm Projects in Korea," Energies, MDPI, vol. 8(9), pages 1-20, September.
    19. Novacheck, Joshua & Johnson, Jeremiah X., 2015. "The environmental and cost implications of solar energy preferences in Renewable Portfolio Standards," Energy Policy, Elsevier, vol. 86(C), pages 250-261.
    20. Mingming Wen & Changshi Zhou & Mamonov Konstantin, 2023. "Deep Neural Network for Predicting Changing Market Demands in the Energy Sector for a Sustainable Economy," Energies, MDPI, vol. 16(5), pages 1-17, March.
    21. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C., 2019. "Efficient and equitable allocation of renewable portfolio standards targets among China's provinces," Energy Policy, Elsevier, vol. 125(C), pages 170-180.
    22. Wang, Lin & Li, Ke, 2022. "Research on renewable energy consumption and emission reduction in power market based on bi-level decision making in China," Energy, Elsevier, vol. 260(C).
    23. 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.
    24. Feng Dong & Bolin Yu & Yifei Hua & Shuaiqing Zhang & Yue Wang, 2018. "A Comparative Analysis of Residential Energy Consumption in Urban and Rural China: Determinants and Regional Disparities," IJERPH, MDPI, vol. 15(11), pages 1-19, November.
    25. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).
    26. Kwon, Tae-hyeong, 2018. "Policy synergy or conflict for renewable energy support: Case of RPS and auction in South Korea," Energy Policy, Elsevier, vol. 123(C), pages 443-449.
    27. Xin-gang, Zhao & Tian-tian, Feng & Lu, Cui & Xia, Feng, 2014. "The barriers and institutional arrangements of the implementation of renewable portfolio standard: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 371-380.
    28. Shangjia Wang & Wenhui Zhao & Shuwen Fan & Lei Xue & Zijuan Huang & Zhigang Liu, 2022. "Is the Renewable Portfolio Standard in China Effective? Research on RPS Allocation Efficiency in Chinese Provinces Based on the Zero-Sum DEA Model," Energies, MDPI, vol. 15(11), pages 1-18, May.
    29. Yaxin Tan & Zhiyu Xu & Weisheng Xu, 2022. "A Two-Phase Hybrid Trading of Green Certificate under Renewables Portfolio Standards in Community of Active Energy Agents," Energies, MDPI, vol. 15(19), pages 1-17, September.
    30. Sun, Bo & Li, Mingzhe & Wang, Fan & Xie, Jingdong, 2023. "An incentive mechanism to promote residential renewable energy consumption in China's electricity retail market: A two-level Stackelberg game approach," Energy, Elsevier, vol. 269(C).
    31. Wu, Y.J. & Liang, X.Y. & Huang, T. & Lin, Z.W. & Li, Z.X. & Hossain, Mohammad Farhad, 2021. "A hierarchical framework for renewable energy sources consumption promotion among microgrids through two-layer electricity prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
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