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Research on Transmission Network Expansion Planning Considering Splitting Control

Author

Listed:
  • Fei Tang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Chufei Xiao

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Xin Gao

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Yifan Zhang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Nianchun Du

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Benxi Hu

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

Abstract

A robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be conducive to the system partition, save the finding time of the optimal splitting cross-section, and improve the performance of the splitting control. This paper proposed an enhanced method based on slow coherence theory for weak connection lines’ identification and monitoring. The ratio of the number of weak connection lines to the number of all the lines, called weak connection coefficient, is considered as a crucial factor. A bi-level programming model, which perceives the minimum connection coefficient as the optimization goal, is built for the transmission network. Additionally, a fused algorithm, consisting of Boruvka algorithm and particle swarm optimization with adaptive mutation and inertia weight, is employed to solve the proposed method in the instances of an 18-node IEEE Graver system and a practical power grid in East China. Simulation results in PSD-BPA are conducted to verify the effectiveness of the weak connection monitoring method and transmission network planning model.

Suggested Citation

  • Fei Tang & Chufei Xiao & Xin Gao & Yifan Zhang & Nianchun Du & Benxi Hu, 2020. "Research on Transmission Network Expansion Planning Considering Splitting Control," Sustainability, MDPI, vol. 12(5), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1769-:d:325859
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    References listed on IDEAS

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    1. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying, 2016. "Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm," Energy, Elsevier, vol. 112(C), pages 1060-1073.
    2. Honglei Song & Junyong Wu & Kui Wu, 2014. "A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems," Energies, MDPI, vol. 7(4), pages 1-27, April.
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    Cited by:

    1. Thongsavanh Keokhoungning & Suttichai Premrudeepreechacharn & Wullapa Wongsinlatam & Ariya Namvong & Tawun Remsungnen & Nongram Mueanrit & Kanda Sorn-in & Satit Kravenkit & Apirat Siritaratiwat & Chav, 2022. "Transmission Network Expansion Planning with High-Penetration Solar Energy Using Particle Swarm Optimization in Lao PDR toward 2030," Energies, MDPI, vol. 15(22), pages 1-19, November.

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