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An Online Equivalent Method of Large-Scale Wind Power Based on Multi-source Data Fusion

  • Minghui YanEmail author
  • Zhen Yuan
  • Haifeng Zhou
  • Wei Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 585)

Abstract

With the rapid increase of wind power centralized grid-connection scale, the security and stability of power grid are greatly affected. In order to simulate the dynamic characteristics of wind farm accurately, a large-scale wind power online equivalent method based on multi-source data fusion is proposed. The operating state of the state estimation modeling network is identified by the fusion of multi-source real-time data such as SCADA, PMU and security and stability control system. When the error of branch power flow or node voltage at the boundary is large, the active power regulation range of wind power generators is determined by comprehensively considering the actual measurement collected by the wind farm centralized control system and the prediction information of the wind power prediction system. The active power of each wind farm is determined by quadratic programming model. The wind power generators are grouped according to the topology in the wind farm, then each group is subdivided according to static characteristic and operating state in turn. The dynamic models and static parameters of equivalent wind power generators and equivalent transformers are calculated. The proposed method is proved to be fast and effective through the analysis of a practical power grid example.

Keywords

Large-scale wind power Multi-source data fusion Quadratic programming Equivalent wind power generators 

Notes

Acknowledgements

The work described in this paper was supported by “Key Technologies Research and Application of Global Analysis and Control Adapt to Active Dispatching Demand of Power Grid” program.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.NARI Group CorporationState Grid Electric Power Research InstituteNanjingChina

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