Abstract
The digitalization construction of power grid companies will gradually be carried out in depth, while the research on the quantitative control dynamic analysis for the characteristics of power grid digitalization application scenarios has not yet been carried out. In this paper, the dynamic analysis technology of quantitative control of power grid is studied, and the expected project costs and benefits are preliminarily calculated using the functional analysis method; Based on expert scoring method, the quantitative influencing factor set of digital application scene target features is constructed; Based on fuzzy analytic hierarchy process, the quantitative impact index set of digital application scenario features is constructed; Based on K2 structure algorithm and Markov Monte Carlo structure algorithm, the application model of Bayesian network computing is constructed, and a dynamic technical and economic evaluation model adapted to different application scenarios is formed; Based on the calculation application model, according to the corresponding background and characteristics of different projects, carry out data analysis, predict the cause level of the factors, match the data statistical results with the initial network data, and finally calculate the possible costs and benefits of the project by calculating the expected value of the nodes, so as to realize the dynamic technical and economic evaluation of the power grid adapted to different application scenarios.
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This work is supported by Science and Technology Project of State Grid Corporation of China (Research on the evaluation system and technology tools of digital technology and economy of enterprises, No. 5700-202129180A-0-0-00).
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Wang, G., Pan, J., Lv, C., Zhao, B., Dong, A. (2023). Research on Dynamic Analysis Technology of Quantitative Control Oriented to Characteristics of Power Grid Digital Application Scenarios. In: Patnaik, S., Kountchev, R., Tai, Y., Kountcheva, R. (eds) 3D Imaging—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 348. Springer, Singapore. https://doi.org/10.1007/978-981-99-1145-5_7
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DOI: https://doi.org/10.1007/978-981-99-1145-5_7
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