A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay

Zhenjie Cui; Weihao Hu; Guozhou Zhang; Qi Huang; Zhe Chen; Frede Blaabjerg

doi:10.1109/TPWRS.2023.3315538

A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay

Zhenjie Cui, Weihao Hu, Guozhou Zhang, Qi Huang, Zhe Chen, Frede Blaabjerg

Publikation: Bidrag til tidsskrift › Letter › peer review

5 Citationer (Scopus)

Abstract

This letter presents a novel data-driven model estimation method for renewable energy source (RES) integrated system with random time delay. The proposed method exploits the theoretical properties of stochastic systems to achieve real-time estimation of the state matrix and the input matrix of a closed-loop system, and does not require any system model information. Experimental results demonstrate that compared with other phasor measurement units (PMU)-based estimation methods, the proposed method is more suitable for estimating random time delayed system and has better estimation performance.

Originalsprog	Engelsk
Artikelnummer	10251994
Tidsskrift	I E E E Transactions on Power Systems
Vol/bind	38
Udgave nummer	6
Sider (fra-til)	5930 - 5933
Antal sider	4
ISSN	0885-8950
DOI	https://doi.org/10.1109/TPWRS.2023.3315538
Status	Udgivet - nov. 2023

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10.1109/TPWRS.2023.3315538

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title = "A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay",

abstract = "This letter presents a novel data-driven model estimation method for renewable energy source (RES) integrated system with random time delay. The proposed method exploits the theoretical properties of stochastic systems to achieve real-time estimation of the state matrix and the input matrix of a closed-loop system, and does not require any system model information. Experimental results demonstrate that compared with other phasor measurement units (PMU)-based estimation methods, the proposed method is more suitable for estimating random time delayed system and has better estimation performance.",

keywords = "Wide-area measurement system, time delayed system, model estimation, renewable energy, stochastic method, phasor measurement units",

author = "Zhenjie Cui and Weihao Hu and Guozhou Zhang and Qi Huang and Zhe Chen and Frede Blaabjerg",

year = "2023",

month = nov,

doi = "10.1109/TPWRS.2023.3315538",

language = "English",

volume = "38",

pages = "5930 -- 5933",

journal = "I E E E Transactions on Power Systems",

issn = "0885-8950",

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TY - JOUR

T1 - A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay

AU - Cui, Zhenjie

AU - Hu, Weihao

AU - Zhang, Guozhou

AU - Huang, Qi

AU - Chen, Zhe

AU - Blaabjerg, Frede

PY - 2023/11

Y1 - 2023/11

N2 - This letter presents a novel data-driven model estimation method for renewable energy source (RES) integrated system with random time delay. The proposed method exploits the theoretical properties of stochastic systems to achieve real-time estimation of the state matrix and the input matrix of a closed-loop system, and does not require any system model information. Experimental results demonstrate that compared with other phasor measurement units (PMU)-based estimation methods, the proposed method is more suitable for estimating random time delayed system and has better estimation performance.

AB - This letter presents a novel data-driven model estimation method for renewable energy source (RES) integrated system with random time delay. The proposed method exploits the theoretical properties of stochastic systems to achieve real-time estimation of the state matrix and the input matrix of a closed-loop system, and does not require any system model information. Experimental results demonstrate that compared with other phasor measurement units (PMU)-based estimation methods, the proposed method is more suitable for estimating random time delayed system and has better estimation performance.

KW - Wide-area measurement system

KW - time delayed system

KW - model estimation

KW - renewable energy

KW - stochastic method

KW - phasor measurement units

UR - http://www.scopus.com/inward/record.url?scp=85171537854&partnerID=8YFLogxK

U2 - 10.1109/TPWRS.2023.3315538

DO - 10.1109/TPWRS.2023.3315538

M3 - Letter

SN - 0885-8950

VL - 38

SP - 5930

EP - 5933

JO - I E E E Transactions on Power Systems

JF - I E E E Transactions on Power Systems

IS - 6

M1 - 10251994

ER -

A Novel Data-Driven Online Model Estimation Method for Renewable Energy Integrated Power Systems With Random Time Delay

Abstract

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