Mechanism of Locational Marginal Prices and Clearing Model of Electricity and Carbon Market Considering Dynamic Carbon Trading Curve

被引:0
|
作者
Ye C. [1 ]
Mou Y. [1 ]
Wang B. [1 ]
Zhou Y. [2 ]
Yang Z. [2 ]
机构
[1] School of Electrical Engineering, Southeast University, Jiangsu Province, Nanjing
[2] Guangxi Power Grid Co., Ltd., Guangxi, Zhuang Autonomous Region, Nanning
来源
关键词
carbon price; carbon trading; locational marginal price; market clearing; supply and demand curve;
D O I
10.13335/j.1000-3673.pst.2022.1385
中图分类号
学科分类号
摘要
The problem of climate warming caused by energy shortage and excessive consumption of fossil fuels has become a major challenge to the current social and economic development. As a mandatory market means, the carbon market helps the carbon emission reduction of the whole society. However, the lack of linkages between the electricity market and the carbon market makes it difficult to promote effective synergy between them. This paper proposes a clearing model of the electricity and carbon coupling market considering the dynamic carbon trading supply and demand curve and analyzes the mechanism of the locational marginal prices. First, from the perspective of the carbon market commodities and prices controlled by the power trading center and considering the total emission limits at the developing stages of the carbon market, a dynamic carbon trading curve based on the principle of supply and demand is formulated proactively. Then an electricity market clearing model that considers the carbon costs is established with the participation of multi-energy generators and the mechanism of the locational marginal prices is analyzed to reflect the impact of the carbon constraints on the locational marginal prices. By analyzing the composition of the locational marginal prices and the changes of the carbon price, the case study illustrates the necessity of introducing a dynamic carbon trading supply and demand curve. At the same time, the impacts of the carbon market at different developing stages, with different objective functions and different output characteristics of renewable energy on the clearing results are analyzed. © 2023 Power System Technology Press. All rights reserved.
引用
收藏
页码:613 / 623
页数:10
相关论文
共 34 条
  • [1] KANG Chongqing, DU Ershun, LI Yaowang, Key scientific problems and research framework for carbon perspective research of new power systems[J], Power System Technology, 46, 3, pp. 821-833, (2022)
  • [2] HUANG Hongxu, LIANG Rui, ZHANG Xiaotong, Two-stage multi-objective deployment optimization of coal mine integrated energy system considering carbon emission constraints[J], Power System Technology, 46, 5, pp. 1731-1741, (2022)
  • [3] Sheng CHEN, CONEJO A J,, Zhinong WEI, Conjectural-variations equilibria in electricity,natural-gas,and carbon-emission markets[J], IEEE Transactions on Power Systems, 36, 5, pp. 4161-4171, (2021)
  • [4] (2016)
  • [5] Bin JI, CHANG Li, CHEN Zhenhuan, Blockchain technology based design and application of market mechanism for power carbon emission allowance trading[J], Automation of Electric Power Systems, 45, 12, pp. 1-10, (2021)
  • [6] FENG Changsen, XIE Fangrui, WEN Fushuan, Design and implementation of joint trading market for green power certificate and carbon based on smart contract[J], Automation of Electric Power Systems, 45, 23, pp. 1-11, (2021)
  • [7] HUANG Jie, XUE Yusheng, JIANG Chao, Carbon market risk analysis and control Part Ⅰ framework design[J], Automation of Electric Power Systems, 42, 12, pp. 11-18, (2018)
  • [8] LU Zhilin, LIU Mingbo, SHANG Nan, Two-stage clearing model for day-ahead electricity market considering impact of carbon emissions trading market[J], Automation of Electric Power Systems, 46, 10, pp. 159-170, (2022)
  • [9] LOU Suhua, HU Bin, WU Yaowu, Optimal dispatch of power system integrated with large scale photovoltaic generation under carbon trading environment[J], Automation of Electric Power Systems, 38, 17, pp. 91-97, (2014)
  • [10] Yang CUI, DENG Guibo, WANG Zheng, Low-carbon economic scheduling strategy for power system with concentrated solar power plant and wind power considering carbon trading[J], Electric Power Automation Equipment, 41, 9, pp. 232-239, (2021)