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Simulation of Time-Sequence Operation Considering DC Utilization Hours of New Energy Base in Desert and Gobi Area

Author

Listed:
  • Pengcheng Yuan

    (College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Kun Ding

    (Grid Gansu Electric Power Company, Lanzhou 730070, China)

  • Yalu Sun

    (Grid Gansu Electric Power Company, Lanzhou 730070, China)

  • Xiang Wang

    (Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610213, China)

  • Jinyan Wang

    (College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Haiying Dong

    (College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

Direct current power transmission is a crucial method for consuming new energy in desert and Gobi regions. Given the issue of the inefficient use of transmission channels, this study develops a simulation model for the operational time sequence of new energy bases in these areas. The model integrates factors such as hours of DC power transmission, environmental impacts, economic considerations, and operational flexibility. Initially, the model addresses the significant variability and unpredictability of wind and solar energy in these regions by introducing an analysis method combining Gaussian Kernel Density Estimation (GKDE) with a Gaussian Mixture Model (GMM). Subsequently, a flexible DC power transmission operational model is formulated, taking into account different DC transmission modes. The model’s efficiency is enhanced by employing the Dung Beetle Optimization algorithm with nondominated sorting to minimize variable ranges and expedite solution times. The model’s effectiveness is demonstrated through a simulation applied to a new energy base in Gansu Province, Northwest China, confirming its validity.

Suggested Citation

  • Pengcheng Yuan & Kun Ding & Yalu Sun & Xiang Wang & Jinyan Wang & Haiying Dong, 2024. "Simulation of Time-Sequence Operation Considering DC Utilization Hours of New Energy Base in Desert and Gobi Area," Energies, MDPI, vol. 17(17), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4386-:d:1469473
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    References listed on IDEAS

    as
    1. Li Shen & Li Jiang & Qing Wang & Yiyu Wen & Tingjian Liu, 2023. "Multi-Period Transmission Expansion Planning for Renewables-Rich Power Grid Enabling Transfer Capacity Enhancement of Hybrid AC/DC Interface," Energies, MDPI, vol. 16(5), pages 1-15, February.
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