Paper
13 May 2024 A low-carbon evaluation method for urban "source-network-load-storage" integrated power system
Hua Feng, Hanbing Zhang, Jichao Ye, Xiang Xia, Xinwei Hu, Hui Huang
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131593N (2024) https://doi.org/10.1117/12.3024361
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
To accelerate the transformation of energy in the power industry and satisfy the requirements of a low-carbon economy, it is necessary to comprehensively analyze the low-carbon development level of the power supply, power grid, load, and energy storage that links to the urban power system, and establish a multi-layer evaluation method for the "SourceNetwork-Load-Storage" (SNLS) integrated power system. First, according to the characteristics of the new power system, from the perspective of cleaner energy production, efficient energy allocation, electrification of end consumption, and flexible network load interaction, a multi-layer key indicator method of SNLS in the city is established in this paper. Second, the analytic hierarchy process and entropy weight method are used to determine the subjective and objective weights. Then, the subjective and objective consequences are optimally combined based on game theory to determine the best comprehensive weight. Finally, the model is applied to a city SNLS integrated power system in Zhejiang Province to verify the effectiveness of the model.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hua Feng, Hanbing Zhang, Jichao Ye, Xiang Xia, Xinwei Hu, and Hui Huang "A low-carbon evaluation method for urban "source-network-load-storage" integrated power system", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131593N (13 May 2024); https://doi.org/10.1117/12.3024361
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KEYWORDS
System integration

Power grids

Carbon

Power consumption

Solar energy

Hydrogen energy

Matrices

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