{"title":"Mode identification-based model-free adaptive predictive damping control method for power system with wind farm considering communication delays","authors":"","doi":"10.1016/j.ijepes.2024.110303","DOIUrl":null,"url":null,"abstract":"<div><div>With the widespread utilization of large-scale power electronics and the integration of wind power into power grid, the problem of low-frequency oscillations in new power systems become increasingly critical. In this paper, a mode identification-based model-free adaptive predictive control (MI-MFAPC) method with full-form dynamic linearization (FFDL) is proposed to design wide-area damping controller (WADC) to suppress multi-modal oscillations. Modal identification method is adopted in MFAPC-WADC to screen the controller input signals with high observability and low coupling, and the controller parameters are set separately for different oscillation modes. The improved control and adaptive law are proposed to rigorously guarantees the asymptotic convergence of the control error to zero under steady-state conditions. The proposed method integrates with the rolling optimization and introduces the future time input and output data, so it has strong robustness for the time-delay system. Simulation results show that MI-MFAPC-WADC greatly improves the dynamic quality and system stability, and the multiple oscillation modes are suppressed efficiently. Considering communication delays, the proposed method without the adaptive delay compensator even obtains better damping performance than the existed method with the adaptive delay compensator.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014206152400526X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
With the widespread utilization of large-scale power electronics and the integration of wind power into power grid, the problem of low-frequency oscillations in new power systems become increasingly critical. In this paper, a mode identification-based model-free adaptive predictive control (MI-MFAPC) method with full-form dynamic linearization (FFDL) is proposed to design wide-area damping controller (WADC) to suppress multi-modal oscillations. Modal identification method is adopted in MFAPC-WADC to screen the controller input signals with high observability and low coupling, and the controller parameters are set separately for different oscillation modes. The improved control and adaptive law are proposed to rigorously guarantees the asymptotic convergence of the control error to zero under steady-state conditions. The proposed method integrates with the rolling optimization and introduces the future time input and output data, so it has strong robustness for the time-delay system. Simulation results show that MI-MFAPC-WADC greatly improves the dynamic quality and system stability, and the multiple oscillation modes are suppressed efficiently. Considering communication delays, the proposed method without the adaptive delay compensator even obtains better damping performance than the existed method with the adaptive delay compensator.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.