Rapid Power System Operation Risk Assessment Considering the Correlation of Wind Generation
ID:207 View Protection:ATTENDEE Updated Time:2020-10-28 15:20:44 Hits:799 Oral Presentation

Start Time:2020-11-02 15:00(Asia/Shanghai)

Duration:15min

Session:A Power System » A2Session 2 and Session 7

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Abstract
    With the increasing penetration of wind power generation, the operation reliability of the power system would be significantly impacted due to the uncertainty and volatility of wind generation. Therefore, this paper proposes a method of rapid power system operation risk assessment considering the correlation of wind generation. Firstly, a wind power scenario-constructing approach is presented. The proposed approach employs the Latin hypercube sampling to construct wind power generation scenarios while considering the correlation of wind generation. Then, the risk-oriented benefit function is adopted to evaluate the risk indices of the constructed scenarios. In order to improve the computation performance, a searching method based on the steady-state security region is applied to avoid redundant calculation of a large number of secure scenarios. The method is validated on a modified IEEE 30-bus system, and the simulation results verify that the proposed method is feasible and applicable. The computational performance of the method is also examined.
Keywords
Latin hypercube sampling, risk assessment, wind generation correlation, wind power scenario-constructing, steady-state security region
Speaker
Jie Bai
China Electric Power Research Institute

Submission Author
Jie Bai China Electric Power Research Institute
Jing Wang China Electric Power Research Institute
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Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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