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Article type: Research Article
Authors: Han, Yanhaia; b | Lin, Xua; b; *
Affiliations: [a] National Key Laboratory of Power Grid Safety, China Electric Power Research Institute, Beijing, China | [b] Northeast Electric Power University, Jilin, China
Correspondence: [*] Corresponding author: Xu Lin, National Key Laboratory of Power Grid Safety, China Electric Power Research Institute, Beijing, China. E-mail: lx1502399094@163.com.
Abstract: Taking into account the multiple demand differences and the existence of distribution network faults, the study conducts a multiple demand-side resource regulation capability assessment for distribution network safety and security as a way to achieve distribution network resource regulation optimization. The study considers multiple demands and adopts the correlation depth wandering algorithm to assess node faults in the distribution network, and proposes a quantitative assessment strategy for multiple demand-side resource regulation capability, and constructs an index system for assessing the resource regulation capability of the distribution network, and carries out the assessment of the resource regulation capability of the multiple demand-side resources. The results show that the regulation efficiency of wind power, thermal power, solar power and hydro power is above 20%, i.e., the combined regulation efficiency of the four energy sources is able to reach above 80%. The results show that the multi-demand-side resource regulation capability for distribution network security can be significantly improved, and the findings of the study have an important practical value for the electric power industry in terms of resource regulation and security, as well as providing a strong support for the sustainable development of the industry.
Keywords: Distribution network, TADW, SVR modelling, resource regulation, safety and security
DOI: 10.3233/JCM-247444
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 4-5, pp. 2267-2282, 2024
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