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Government regulation of renewable energy generation and transmission in China’s electricity market

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  • Fang, Debin
  • Zhao, Chaoyang
  • Yu, Qian

Abstract

To build a clean, safe, sustainable and decarbonized energy system, China has been optimizing its energy supply structure and focusing on renewable power generation, transmission, and government policies. The development of renewable energy generation and transmission involves the strategic interaction among fossil-energy power plants, provincial power grids and provincial governments, whose interests are inconsistent. Poor integration and the increasing curtailment of renewable energy are posing an unprecedented challenge to China's electricity sector. Thus, to cope with the market failure and effectively guide the performance of game agents to maximize the overall interests, it’s necessary to strengthen government regulation on renewable power generation and transmission. Based on previous researches, this research establishes an evolutionary game model of renewable power generation and transmission from the perspective of bounded rationality and multi-agents game to analyze the necessity and effectiveness of strengthening relevant government regulation. Apart from exploring the evolutionary stability strategy and the governing boundary conditions, this research also investigates the influence of exogenous variables through simulation analysis. Two central findings are as follows: first, the only evolutionary stable equilibrium lies on government regulation, power plant obedience, and power grid allowance. Second, reasonable government punishment will accelerate the formation of the market equilibrium.

Suggested Citation

  • Fang, Debin & Zhao, Chaoyang & Yu, Qian, 2018. "Government regulation of renewable energy generation and transmission in China’s electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 775-793.
  • Handle: RePEc:eee:rensus:v:93:y:2018:i:c:p:775-793
    DOI: 10.1016/j.rser.2018.05.039
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    1. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    2. Al-Nory, Malak & El-Beltagy, Mohamed, 2014. "An energy management approach for renewable energy integration with power generation and water desalination," Renewable Energy, Elsevier, vol. 72(C), pages 377-385.
    3. Binmore, Ken, 1988. "Modeling Rational Players: Part II," Economics and Philosophy, Cambridge University Press, vol. 4(1), pages 9-55, April.
    4. Chang, Yen-Chiang & Wang, Nannan, 2010. "Environmental regulations and emissions trading in China," Energy Policy, Elsevier, vol. 38(7), pages 3356-3364, July.
    5. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.
    6. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    7. Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
    8. Gong, Chengzhu & Tang, Kai & Zhu, Kejun & Hailu, Atakelty, 2016. "An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective," Applied Energy, Elsevier, vol. 163(C), pages 283-294.
    9. Li, Zhigang & Qiu, Feng & Wang, Jianhui, 2016. "Data-driven real-time power dispatch for maximizing variable renewable generation," Applied Energy, Elsevier, vol. 170(C), pages 304-313.
    10. Yuanan Hu & Hefa Cheng, 2017. "Displacement efficiency of alternative energy and trans-provincial imported electricity in China," Nature Communications, Nature, vol. 8(1), pages 1-9, April.
    11. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid," Applied Energy, Elsevier, vol. 190(C), pages 232-248.
    12. Pierre-Olivier Pineau & Pauli Murto, 2003. "An Oligopolistic Investment Model of the Finnish Electricity Market," Annals of Operations Research, Springer, vol. 121(1), pages 123-148, July.
    13. WEI, Jing-Yuan & SMEERS, Yves, 1999. "Spatial oligopolistic electricity models with Cournot generators and regulated transmission prices," LIDAM Reprints CORE 1454, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Zhang, Kuangyuan & Kleit, Andrew N. & Nieto, Antonio, 2017. "An economics strategy for criticality – Application to rare earth element Yttrium in new lighting technology and its sustainable availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 899-915.
    15. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    16. Zhao, Zhen-Yu & Chen, Yu-Long & Chang, Rui-Dong, 2016. "How to stimulate renewable energy power generation effectively? – China's incentive approaches and lessons," Renewable Energy, Elsevier, vol. 92(C), pages 147-156.
    17. Zhao, Xu & Luo, Dongkun, 2017. "Driving force of rising renewable energy in China: Environment, regulation and employment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 48-56.
    18. Zhang, Kuangyuan & Kleit, Andrew N., 2016. "Mining rate optimization considering the stockpiling: A theoretical economics and real option model," Resources Policy, Elsevier, vol. 47(C), pages 87-94.
    19. Liu, Liwei & Ye, Junhong & Zhao, Yufei & Zhao, Erdong, 2015. "The plight of the biomass power generation industry in China – A supply chain risk perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 680-692.
    20. Wei Jing-Yuan & Yves Smeers, 1999. "Spatial Oligopolistic Electricity Models with Cournot Generators and Regulated Transmission Prices," Operations Research, INFORMS, vol. 47(1), pages 102-112, February.
    21. Zhang, Sufang & Andrews-Speed, Philip & Li, Sitao, 2018. "To what extent will China's ongoing electricity market reforms assist the integration of renewable energy?," Energy Policy, Elsevier, vol. 114(C), pages 165-172.
    22. Rashwan, Wael & Abo-Hamad, Waleed & Arisha, Amr, 2015. "A system dynamics view of the acute bed blockage problem in the Irish healthcare system," European Journal of Operational Research, Elsevier, vol. 247(1), pages 276-293.
    23. P. Taylor & L. Jonker, 2010. "Evolutionarily Stable Strategies and Game Dynamics," Levine's Working Paper Archive 457, David K. Levine.
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