气候变化领域集成服务门户(CCPortal): Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model

CCPortal

DOI	10.1016/j.enpol.2021.112573
	Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model
	Wang D.; Zhang Z.; Yang X.; Zhang Y.; Li Y.; Zhao Y.
发表日期	2021
ISSN	0301-4215
卷号	158
英文摘要	As one of the important measures for China's power system reform, the electricity bidding pricing (EBP) is helpful to realize the effective allocation of power resources. Based on price conduction theory and complex network modeling technology, we construct the price transmission network for the 76 economic sectors in China, identify the critical path of electricity price transmission, and empirically simulate and analyze the economic impact of EBP in different scenarios from the two aspects of whether the CEPL mechanism is implemented or not. The results indicate that the electricity price will be decreased directly by the EBP, and the electricity industry will significantly reduce the impact on other related industries. Particularly, affected by regulatory policies such as electricity price cap, the electricity price caused by EBP cannot be effectively transmitted to the upstream industries. Secondly, with the simultaneous implementation of the coal-electricity price linkage (CEPL) and the EBP, the coal-electricity price transmission will change from one-way conduction style to two-way interaction style, and the impact of electricity price fluctuations on its related industries will be more significant, while the comprehensive impact of the coal industry on its associated industries will be significantly reduced. Thirdly, there are obvious scenario differences in the impact of different intensity of EBP on the macro-economy. The results show that under the mechanism of CEPL, the EBP with 20% of the total power used for bidding pilot has minimal impact on the Chinese economy. Based on the above conclusions, we propose that China should scientifically determine the scale and the pilot regions of electricity bidding under the CEPL, develop more diversified bidding forms and improve more robust supervision system. © 2021 Elsevier Ltd
英文关键词	Bidding mechanism; Complex network model; Electricity sector; Price linkage; Scenario simulation
语种	英语
scopus关键词	Coal; Coal industry; Complex networks; Economic and social effects; Industrial economics; Bidding mechanism; Coal electricities; Complex network models; Electricity bidding; Electricity prices; Electricity sector; Multi scenarios; Price linkage; Price transmission; Scenario simulations; Electric industry; electricity supply; energy management; energy policy; price dynamics; regulatory approach; resource allocation; China
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256541
作者单位	China University of Mining and Technology, Department: School of Economics and Management, Xuzhou, 221116, China; Nanjing University of Aeronautics and Astronautics, Department: College of Economics and Management, Nanjing, 211106, China; China University of Mining and Technology, Department: College of Mathematics, Xuzhou, 221116, China
推荐引用方式 GB/T 7714	Wang D.,Zhang Z.,Yang X.,et al. Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model[J],2021,158.
APA	Wang D.,Zhang Z.,Yang X.,Zhang Y.,Li Y.,&Zhao Y..(2021).Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model.Energy Policy,158.
MLA	Wang D.,et al."Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model".Energy Policy 158(2021).