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Daily rolling estimation of carbon emission cost of coal-fired units considering long-cycle interactive operation simulation of carbon-electricity market

2023-11-21

Daily rolling estimation of carbon emission cost of coal-fired units considering long-cycle interactive operation simulation of carbon-electricity market

考虑碳-电市场长周期交互运营模拟的燃煤机组碳排放成本日滚动预估

Mingjie Ma¹, Lili Hao¹, Zhengfeng Wang², Zi Yang², Chen Xu¹, Guangzong Wang³, Xueping Pan⁴, Jun Li⁵

1.College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816,P. R. China

2.State Grid Anhui Electric Power Co., Ltd., Hefei 230022, P. R. China

3.Tianjin Bohai Electric Power Group Co., Ltd., Tianjin 300171, P. R. China

4.College of Energy and Electrical Engineering, Hohai University, Nanjing 210008, P. R. China

5.School of Economics, Hefei University of Technology, Hefei 230601, P. R. China

Abstract

The high overlap of participants in the carbon emissions trading and electricity markets couples the operations of the two markets. The carbon emission cost (CEC) of coal-fired units becomes part of the power generation cost through market coupling. The accuracy of CEC calculation affects the clearing capacity of coal-fired units in the electric power market. Study of carbon–electricity market interaction and CEC calculations is still in its initial stages. This study analyzes the impact of carbon emissions trading and compliance on the operation of the electric power market and defines the cost transmission mode between the carbon emissions trading and electric power markets. A long-period interactive operation simulation mechanism for the carbon–electricity market is established, and operation and trading models of the carbon emissions trading market and electric power market are established. A daily rolling estimation method for the CEC of coalfired units is proposed, along with the CEC per unit electric quantity of the coal-fired units. The feasibility and effectiveness of the proposed method are verified through an example simulation, and the factors influencing the CEC are analyzed.

Keywords

Carbon emission trading; Carbon emission cost; Carbon price; Electric power market; Market simulation

Fig. 1 Interaction between market simulations

Fig. 2 Rolling simulation for carbon market

Fig. 3 Detailed process for market-simulation

Fig. 4 Simulation results for CEA trading quantities and CEA price in Scenario 1

Fig. 5 CEC per unit electric quantity under scenarios 2 and 3

Fig. 6 CEC recovery ratio from daily rolling estimation and static estimation methods

Fig. 7 Simulation results of CEA trading quantities and CEA price under scenarios 6 and 7

Fig. 8 Comparison of annual CEC and CEC per unit electric quantity

Fig. 9 Comparison of income, cost and CEA lack

Fig. 10 CEA quotation

本文引文信息

Hao LL, Ma MJ, Wang ZF, et al. (2023) A Daily rolling estimation of carbon emission cost of coal-fired units considering long-cycle interactive operation simulation of carbon-electricity market, Global Energy Interconnection, 6(4): 467-485

郝丽丽, 马明杰, 王正风等 (2023) 考虑碳-电市场长周期交互运营模拟的燃煤机组碳排放成本日滚动预估. 全球能源互联网（英文）, 6(4): 467-485

Biographies

Lili Hao

received the B.S. and M.S. degrees from Hohai University, Nanjing, China, in 2001 and 2004, respectively, and the Ph. D. degree from Southeast University, Nanjing, China, in 2010. She was a Visiting Scholar in the School of Electrical Engineering and Computer Science, Washington State University, Pullman, USA, from 2015 to 2016.She is working in College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China. Her research interest is power system security and stability analysis and control.

Mingjie Ma

received the B.S. degree at Nanjing Institute of Technology, Nanjing, China, in 2019. He is working towards the M.S. degree at Nanjing Tech University, Nanjing, China. His research interest is the operation and optimization of electricity market and carbon market.

Zhengfeng Wang

a senior engineer, received the Ph.D. degree in electrical engineering from Southeast University, Nanjing, China, in 2006. He is currently engaged in power system dispatching and operation.

Zi Yang

a senior engineer, received the B.S. and M.S. degrees from Harbin Institute of Technology, Harbin, China, in 2018. His research focuses on the power grid regulation and operation, electricity markets.

Chen Xu

received the B.S. degree at Yancheng Institute of Technology, Yancheng, China, in 2022. He is studying for the M.S. degree at Nanjing Tech University. His research focuses on the coordinated operation of green power and electricity markets.

Guangzong Wang

received the Master’s degree at the School of Electrical and Information Engineering, Tianjin University, in 2013. His research interests include Integrated Intelligent Energy, Virtual Power Plant, energy internet, etc.

Xueping Pan

received the B.S. Eng. and M. S. degrees in electrical engineering from Hohai University, China, in 1994 and 2000, respectively, and the Ph.D. degree from Zhejiang University, China, in 2008. She is working in College of Energy and Electrical Engineering, Hohai University, Nanjing, China. Her research interest is modeling and analysis of power systems with renewable power generation.

Jun Li

received the Ph. D. degree from University of Science and Technology of China, Hefei, China, in 2017. He is working in School of Economics, Hefei University of Technology, Hefei, China. His research focuses on the carbon market, electricity market and energy economy.

编辑：王彦博

审核：王伟

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