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Optimization of Provincial Power Source Structure Planning in Northwestern China Based on Time-Series Production Simulation

Author

Listed:
  • Zhou Su

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

  • Guoqing Yang

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Lixiao Yao

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Qingqing Zhou

    (State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

  • Yuhan Zhang

    (State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China)

Abstract

With the increasing of renewable energy penetration rate in power source structure, the impact of its uncertainty on the stability of the power system is becoming increasingly apparent. The power system faces dual pressures of ensuring power supply and renewable energy accommodation. The way in which to accurately plan the power structure under situations with a high renewable energy penetration rate has become an urgent issue for future power infrastructure upgrading. In this paper, a rational power structure model was proposed for a provincial power grid by iteratively optimizing variables. The synergistic relationship between renewable energy, traditional power sources, and the energy storage system was considered comprehensively and calculated through the time-series production simulation method. The as-proposed model was studied using a scenario of a provincial grid plan in the year 2035. The power balance, electricity consumption, and renewable energy utilization were systematically analyzed, providing an important theoretical basis for the optimization and upgrading of provincial power systems under the rapid growth of renewable energy.

Suggested Citation

  • Zhou Su & Guoqing Yang & Lixiao Yao & Qingqing Zhou & Yuhan Zhang, 2024. "Optimization of Provincial Power Source Structure Planning in Northwestern China Based on Time-Series Production Simulation," Energies, MDPI, vol. 17(19), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4766-:d:1484416
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    References listed on IDEAS

    as
    1. Min Xu & Wanwei Li & Zhihui Feng & Wangwang Bai & Lingling Jia & Zhanhong Wei, 2023. "Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty," Energies, MDPI, vol. 16(4), pages 1-20, February.
    2. Fan Li & Dan Wang & Dong Liu & Songheng Yang & Ke Sun & Zhongjian Liu & Haoyang Yu & Jishuo Qin, 2023. "A Comprehensive Review on Energy Storage System Optimal Planning and Benefit Evaluation Methods in Smart Grids," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    3. Yishan Shi & Ruipeng Guo & Yuchen Tang & Yi Lin & Zhanxin Yang, 2023. "Integrated Transmission Network Planning by Considering Wind Power’s Uncertainty and Disasters," Energies, MDPI, vol. 16(14), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

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