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风储联合发电系统参与频率响应的模型预测控制策略

Translated title of the contribution: Model Predictive Control Strategy for Combined Wind-Storage System to Participate in Frequency Response
  • Linbo Yu
  • , Peng Kou
  • , Yutao Feng
  • , Haotian Feng
  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

52 Scopus citations

Abstract

The flexible control characteristic of battery energy storage system (BESS) makes it have an advantage in participating in grid frequency regulation. The combination of wind power and energy storage has the effect of synergistic enhancement in providing frequency support. Thus, based on model predictive control (MPC), a coordinated strategy of combined wind-storage system for frequency response is proposed. By solving moving horizon optimization problem, this control strategy can optimally coordinate the output power of wind farm and energy storage while satisfying a set of constraints of the combined system. Moreover, moving horizon estimation (MHE) is used to estimate grid power imbalance in real time, which ensures that the optimization process is based on more accurate system information. Finally, the control strategy is tested through simulations and the results show that the proposed strategy can effectively improve the performance of grid frequency regulation.

Translated title of the contributionModel Predictive Control Strategy for Combined Wind-Storage System to Participate in Frequency Response
Original languageChinese (Traditional)
Pages (from-to)36-43
Number of pages8
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume43
Issue number12
DOIs
StatePublished - 25 Jun 2019

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