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Optimization of node voltage stability of flexible DC transmission network based on genetic simulated annealing algorithm

Published: 31 July 2024 Publication History

Abstract

In order to ensure the safety of power system and improve the working efficiency of distribution network, the voltage stability optimization of flexible DC transmission network nodes based on genetic simulated annealing algorithm is proposed. The original operation data is equivalent to the product of the above three matrices, and the parameters are sorted in descending order to obtain the preprocessing result of node voltage data of flexible DC transmission network; The system characteristics related to voltage stability are extracted, and the voltage stability optimization results of flexible DC transmission network nodes are obtained, that is, the voltage stability optimization is realized. The experimental results show that the proposed method has better optimization effect, higher coincidence between the optimized waveform and the actual waveform, and better voltage stability optimization performance under the condition of no interference and interference.

References

[1]
Salman G A, Abood H G, Ibrahim M S 2021 Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices. International Journal of Electrical and Computer Engineering, 11(2): 984-992.
[2]
Sadeghi S E, Foroud A A 2021 A general index for voltage stability assessment of power system. International Transactions on Electrical Energy Systems, 31(12): 1-22.
[3]
Saidi A S 2021 Impact of grid-tied photovoltaic systems on voltage stability of tunisian distribution networks using dynamic reactive power control. Ain Shams Engineering Journal, 13(2): 10-17.
[4]
Huu D N 2021 A Novel Adaptive Control Approach Based on Available Headroom of the VSC-HVDC for Enhancement of the AC Voltage Stability. Energies, 14(11): 1-30.
[5]
Sun P, Teng Y, Leng O 2021 Stability Control Method for Hybrid AC-DC Transmission Systems Considering Cross-region Multi-energy Coordination. CSEE Journal of Power and Energy Systems, 7(4): 753-760.
[6]
Liang M Y, Cai X H, Gong L J 2022 Research on Pre Synchronization Control of Microgrid Grid Connection Based on Droop Control. Computer Simulation, 39(4): 80-109.

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  1. Optimization of node voltage stability of flexible DC transmission network based on genetic simulated annealing algorithm

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      PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
      January 2024
      969 pages
      ISBN:9798400716638
      DOI:10.1145/3674225
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 31 July 2024

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