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Hierarchical Blocking Control for Mitigating Cascading Failures in Power Systems with Wind Power Integration

Author

Listed:
  • Lun Cheng

    (State Grid Hebei Electric Co., Ltd., Shijiazhuang 050000, China)

  • Tao Wang

    (Department of Mathematics and Physics, North China Electric Power University, Baoding 071000, China)

  • Yuhang Wu

    (Department of Mathematics and Physics, North China Electric Power University, Baoding 071000, China)

  • Zeming Gao

    (State Grid Hebei Electric Co., Ltd., Shijiazhuang 050000, China)

  • Ning Ji

    (State Grid Hebei Electric Co., Ltd., Shijiazhuang 050000, China)

Abstract

The increasing uncertainty of wind power brings greater challenges to the control for mitigation of cascading failures. In order to minimize the risk of cascading failures in large-scale wind power systems at a lower economic cost, a multi-stage blocking control model is proposed based on sensitivity analysis. Firstly, the propagation mechanism of cascading failures in power systems with wind power integration is analyzed, and the propagation path of such failures is predicted. Subsequently, sensitive lines that are prone to failure are identified using the power sensitivity matrix, taking into account the effects of blocking control on the propagation path. By constraining the power flow of these sensitive lines, a multi-stage blocking control model for the predicted cascading failure path is proposed with the objective of minimizing the control cost and cascading failure probability. Based on probabilistic optimal power flow calculations, the constraints related to wind power uncertainty are transformed into opportunity constraints. To validate the effectiveness of the proposed model, the IEEE 39-node system is used as an example, and the results show that the obtained control method is able to balance economy and safety. In addition, the control costs for the same initial failure are higher as the wind power penetration rates and confidence levels increase.

Suggested Citation

  • Lun Cheng & Tao Wang & Yuhang Wu & Zeming Gao & Ning Ji, 2024. "Hierarchical Blocking Control for Mitigating Cascading Failures in Power Systems with Wind Power Integration," Energies, MDPI, vol. 17(2), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:442-:d:1320325
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    References listed on IDEAS

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    1. Kendal, Wayne S., 2015. "Self-organized criticality attributed to a central limit-like convergence effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 141-150.
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