Inertia-adaptive model predictive controlbased load frequency control for interconnected power systems with wind power

Deyou Yang, Bo Wang*, Guowei Cai, Jin Ma, Jie Tian, Zhe Chen, Lixin Wang

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

21 Citations (Scopus)

Abstract

The low and variable inertia due to the integration of large-scale wind generation poses severe challenges to thefrequency control of the power grid. In this study, a novel model predictive control (MPC)-based load frequency controller (LFC),which can adapt to the changes in system inertia, is proposed to improve the frequency control effect. First, the inertiaestimation scheme based on measurements is designed. Then, the state-space model, which is the key that determines thecontrol effect of MPC, is corrected in time based on the estimated inertia. The proposed method in this study can avoid theproblem of MPC-based LFC failure caused by inaccurate model parameters. The performance of the proposed strategy isdemonstrated in two scenarios, i.e. wind power fluctuation and load multi-step, using a two-area interconnected power systemwith time-variant inertia.

Original languageEnglish
JournalIET Generation, Transmission and Distribution
Volume14
Issue number22
Pages (from-to)5029-5036
Number of pages8
ISSN1751-8687
DOIs
Publication statusPublished - 13 Nov 2020

Bibliographical note

Funding Information:
This research was supported by the National Natural Science Foundation of China under Grant 51977031 and Grant 51877032, and Science and Technology Project of State Grid of China, grant numbers 52230019000D.

Publisher Copyright:
© 2020 The Institution of Engineering and Technology.

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