An agent-based modeling approach for analyzing the influence of market participants' strategic behavior on green certificate trading

被引:38
作者
Wang, Hui [1 ,2 ]
Zhao, Xin-gang [1 ,2 ]
Ren, Ling-zhi [3 ]
Lu, Fan [1 ,2 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Beijing Key Lab New Energy & Low Carbon Dev, Beijing, Peoples R China
[3] North China Univ Water Resources & Elect Power, Sch Management & Econ, Zhengzhou, Peoples R China
关键词
Renewable portfolio standards; Green certificate trading; Strategic behavior; Herd effect; Agent-based modeling; RENEWABLE ENERGY; HERD BEHAVIOR; ELECTRICITY; PRICE; INVESTMENT;
D O I
10.1016/j.energy.2020.119463
中图分类号
O414.1 [热力学];
学科分类号
摘要
China has announced that the mandatory green certificate trading would be implemented in 2021. The mandatory green certificate trading not only fosters the liquidity of the green certificate market but also induces the possibility of market participants taking strategic behavior to gain more market returns. Generally, the self-interested strategic behavior was not conducive to improving market efficiency, thereby impeding the implementation of mandatory green certificate trading. To evaluate the influence of market participants' strategic behavior on the green certificate trading, we embed the strategic behavior model into the artificial green certificate market to simulate the market participants' strategic behavior in green certificate trading. The results indicate: (1) in green certificate market, the strength of the herd effect determines the average compliance costs level; (2) the value-trading strategy is the optimal strategy for renewable obligation subjects to reduce the compliance costs of mandatory green certificate trading; (3) market participants' strategic behavior mainly affect the stability of green certificate price, and the greater the price fluctuation, the slower convergence speed to the equilibrium price. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:16
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