Paper
13 May 2024 Carbon emission flow analysis of new power system considering the uncertainty of new energy sources
Zhuang Tang, Ren Chunhui, Shi Danni, Lin Jianchao, Shi Xinghua
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131592N (2024) https://doi.org/10.1117/12.3024984
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The core feature of the new power system is that new energy replaces traditional thermal power as the main power source of the power system, and the basic development positioning is clean, low-carbon, safe and efficient. To analyze the low-carbon contribution of photovoltaic power generation to the power system, a method for analyzing the impact of uncertainty in photovoltaic injection power on the carbon emission flow of the power system is proposed. Firstly, by modeling the output of photovoltaic units and the power of system nodes, a functional expression between light intensity and the total carbon flow rate of system nodes is established. Secondly, the randomness of photovoltaic output is transferred to the balanced unit. Based on the carbon flow rate correlation matrix between the balanced unit and the system node branch, the impact factor of photovoltaic injection power on the node and branch is calculated, and the uncertain characteristics of carbon emissions in the power system under photovoltaic injection power are obtained. Finally, the correctness of the proposed method is verified through case analysis results, and the low-carbon contribution of photovoltaic access to the power system is quantitatively analyzed.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhuang Tang, Ren Chunhui, Shi Danni, Lin Jianchao, and Shi Xinghua "Carbon emission flow analysis of new power system considering the uncertainty of new energy sources", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131592N (13 May 2024); https://doi.org/10.1117/12.3024984
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KEYWORDS
Carbon

Photovoltaics

Matrices

Solar energy

Electric fields

Hydroelectric energy

Power grids

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