Simulation Initialization Method for AC/DC Hybrid Power Grid
In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framewor...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-08-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202110006 |
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| Summary: | In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framework based on the improved node method for iterative correction. At the same time, in order to improve the initialization efficiency of large-scale AC / DC hybrid power grid, a parallel initialization calculation method based on multi-port equivalence is proposed. The simulation results of IEEE33 bus and 330 bus AC / DC hybrid power grid with photovoltaic power stations are used to verify the effectiveness of the proposed method. |
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| ISSN: | 1004-9649 |