On frequency regulation control strategy of wind turbine based on disturbance adaptiveness

  • Hongqing Liu
  • , Liansong Xiong
  • , Hui Cao
  • , Mingxian Li
  • , Xinghua Liu
  • , Yue Wang
  • , Lei Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the frequency problem caused by high wind power penetration, control strategies such as rapid power compensation (RPC) have been adopted to release the frequency regulation capability of new energy sources quickly. However, when the wind turbine (WT) adopts the RPC strategy to participate in the system frequency regulation, it cannot adapt to the random disturbance. In this paper, a disturbance adaptive RPC (ARPC) strategy is proposed. When the system is disturbed, the signal excitation method is used to estimate the external disturbance. According to the estimated disturbance, the WT rotational inertia is quickly used to compensate for the grid's unbalanced power. When the system frequency deviation and the rate of change of frequency (RoCoF) evaluation indexes meet the threshold requirements, the control strategy switches from ARPC to droop control, which can ensure the WT exit frequency regulation smoothly, and further reduce the frequency deviation and improve the frequency quality. Finally, analyzing the operation mode and determining the relevant switching logic, the proposed ARPC strategy's detailed implementation is developed. Simulation results proved the effectiveness and advancement of the ARPC based strategy.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021
EditorsMingxuan Sun, Huaguang Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages489-494
Number of pages6
ISBN (Electronic)9781665424233
DOIs
StatePublished - 14 May 2021
Event10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021 - Suzhou, China
Duration: 14 May 202116 May 2021

Publication series

NameProceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021

Conference

Conference10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021
Country/TerritoryChina
CitySuzhou
Period14/05/2116/05/21

Keywords

  • Adaptive rapid power compensation
  • Disturbance prediction
  • Frequency response
  • Grid frequency regulation
  • Wind turbine

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