The Study Focuses on the Influencing Factors of New Energy Consumption and Power Supply Security in the Beijing-Tianjin-Hebei Region under the Context of “Dual Carbon”
DOI: https://doi.org/10.62381/ACS.HSMS2024.19
Author(s)
Tiejun Ci, Ziheng Liao*
Affiliation(s)
College of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding, China
*Corresponding Author
Abstract
In the “double carbon” goal proposed at present, the power enterprises are looking for change and transformation, but each enterprise faces different environment. Since the complex influencing factors of new energy consumption and power security supply involve a wide range and complexity, it is necessary to explore a strong adaptive research method to sort out the influencing factors from the qualitative and quantitative perspectives. Based on the idea of system engineering, this paper takes State Grid Jibei Electric Power Co., LTD as an example, combined with the company's strategic objectives, analyzes various factors that affect the consumption of new energy and power security and supply in the northern Beijing-Tianjin-Hebei region under the “dual carbon” goal, establishes the relationship table of influencing factors, and then establishes the adjacency matrix and accessibility matrix in turn for hierarchical division. The construction of a structural model for new energy consumption and electric power security is based on this premise. Ultimately, the hierarchical distribution relationship among various elements can be comprehended through the hierarchical relationship diagram, enabling clear definition of the significance of influencing factors and proposing corresponding reform ideas.
Keywords
“Double Carbon” Target; New Energy Consumption; Power Supply Security; Influencing Factors; Systems Engineering; Ism
References
[1]Yin Huiliang, Du Heng, Wang Pengsu et al. Challenges, Countermeasures and Policies of Beijing-Tianjin-Hebei Synergistic Development under the Background of “Dual Carbon”. Urban Development Research,2022,29(08):12-19.
[2]Liu Zhihua, Yuan Qinglu, Li Cui et al. Synergistic effect of low carbon economy and high quality development under the “dual carbon” strategy: A case study of the Beijing-Tianjin-Hebei urban agglomeration. Environmental Science, 1-20[2024-03-21]. https: //doi.org/10. 13227/j. hjkx.202312013.
[3]Li H, Zhang N, Kang C Q et al. Contribution analysis method of renewable energy consumption influencing factors. Chinese Journal of Electrical Engineering,2019,39(04): 1009-1018. DOI: 10.13334/j.0258-8013. pcsee. 180616.
[4]Wang Ding, Shen Yangwu, Shao Zhu et al. Quantitative analysis of key influencing factors of new energy consumption in Hunan power grid. Hunan Power, 2021, 41(02):65-69.
[5]Li Botian. Study on the maximum capacity and key influencing factors of new energy consumption in provincial power grids. North China Electric Power University, 2021. DOI: 10.27139/d.cnki.ghbdu. 2021.000603.
[6]Xie G H, Luan F k, Li N N et al. Contribution assessment model of new energy consumption influencing factors. China Electric Power,2018,51(11):125-131.
[7]San Baoguo, Ji Xingpei, Xu Chuanlong et al. Analysis of recent global energy supply and demand situation and China's energy and power supply strategy. China Electric Power, 2022, 55(10):1-13.
[8]Shi Zhenjiang, Miao Youzhong, Wang Zhe et al. New energy given active distribution network under the background of grid research. Integrated circuit applications, 2019, 4 (7): 80-81. The DOI: 10.19339 / j.i SSN. 1674-2583.2019.07.031.
[9]Jin Guanping. Promote the construction of a new energy supply system. Economic Daily, 2022-08-11 (001).Doi: 10.28425/n.cNKI.NJJRB.2022.004813.
[10]Li Jing, Li Ying, Peng Xiaoyi. An interpretation structure model improvement method based on matrix self-ride. System science and mathematics, 2021,41 (07): 2046-2062.
[11]Wang Lei, Zhu Beiwen. The model building and influencing factors of carbon-Dafeng in Zhejiang Province-based on ISM and AHP method. Science and technology notification, 2023,39 (12): 102-105+110. Doi: 10.13774/j. CNKI.KJTB. 2023.12.019.