New Type Power System and the Integrated Energy

Optimization of Installed Wind Power Capacity Considering Dynamic Frequency Constraints and Multiple Uncertainties

  • YE Jing ,
  • HE Jiehui ,
  • ZHANG Lei ,
  • CAI Junwen ,
  • LIN Yuqi ,
  • XIE Jihao
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  • 1 College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, Hubei, China
    2 Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, Yichang 443002, Hubei, China

Received date: 2023-09-18

  Revised date: 2023-11-20

  Accepted date: 2023-12-04

  Online published: 2023-12-12

Abstract

As the installed capacity of wind power continues to increase, the frequency security of new power system becomes increasingly significant. To guarantee the frequency security of the system, improve the frequency regulation capability of the system, and determine an optimal wind power installed capacity, a wind power installed capacity optimization model considering dynamic frequency constraints as well as load-side inertia is proposed. First, the dynamic frequency response model with load-side inertia is derived. Then, fuzzy opportunity constraints are introduced considering the uncertainty of wind power, load, and load-side inertia. Taking into account the dynamic frequency constraints, the model incorporates multiple uncertainty fuzzy opportunity constraints, in which the uncertainty constraints are clearly converted into equivalence classes. Finally, to address the dynamic frequency-constrained nonlinear characteristic, the optimization problem is partitioned into a main problem and sub-problems for solution. The validity and feasibility of the proposed model are validated by using an improved 10-machine system.

Cite this article

YE Jing , HE Jiehui , ZHANG Lei , CAI Junwen , LIN Yuqi , XIE Jihao . Optimization of Installed Wind Power Capacity Considering Dynamic Frequency Constraints and Multiple Uncertainties[J]. Journal of Shanghai Jiaotong University, 2025 , 59(9) : 1292 -1303 . DOI: 10.16183/j.cnki.jsjtu.2023.474

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