Abstract
In the future construction of new power system, in order to provide support and guidance for distribution grid planning, it is necessary to understand the economy of distribution grid. Therefore, this paper uses the multi-level fuzzy comprehensive evaluation method base on indicators to evaluate the technical economy of distribution grid. Then, a deep learning model is built, trained by a large amount of evaluation data, makes the network get the evaluation thought of each expert. Using this method can reduce the subjectivity in the process of evaluation, and can increase the rate of fault tolerance, the example analysis shows that using the evaluation results of this method is feasible and has practical significance.
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Acknowledgments
This work was funded by the Science and Technology Project of State Grid Corporation of China “Research on construction technology of distribution network form and management and control system supporting high proportion of distributed resources” (project number: 5100-202155291A-0-0-00).
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Wu, Y., Zhang, J., Duan, Q., Sha, G., Zhang, Y. (2023). A Data-Driven and Deep Learning-Based Economic Evaluation Method for New Power System Distribution Grid. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_25
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DOI: https://doi.org/10.1007/978-981-99-3300-6_25
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