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Research on Splitting Optimization Considering the Planning of Wind Power Integration

Author

Listed:
  • Fei Tang

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

  • Weiqiang Liang

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

  • Chenxu Wang

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

  • Xin Gao

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

  • Benxi Hu

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

  • Fanghua Qin

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

Abstract

With the continuous expansion of wind power integration scale, the stability of the power system has been greatly affected, especially the changes of the traditional grid structure, which makes the system splitting face major challenges. In the context of the widespread use of wind energy, a bi-level planning method considering optimal location-allocation of wind power to reduce the difficulty of splitting was proposed. Based on the slow coherence theory, a correlation model that reflects the coherence degree of system buses was constructed. Furthermore, an improved intelligent optimization algorithm was proposed to solve the optimal location-allocation of wind power. The proposed method was conducted in the Institute of Electrical and Electronics Engineering (IEEE) 39-bus system to centralize the splitting scope. It is verified that the proposed method can reduce the system’s possible oscillation modes to realize that less instability occurs under small disturbances, and restrict the range of splitting sections under large disturbances, which ensures the effectiveness of splitting devices to maintain the stable operation of the power grid.

Suggested Citation

  • Fei Tang & Weiqiang Liang & Chenxu Wang & Xin Gao & Benxi Hu & Fanghua Qin, 2020. "Research on Splitting Optimization Considering the Planning of Wind Power Integration," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7726-:d:415548
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