Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation

Panagiotis N. Papadopoulos; Theofilos A. Papadopoulos; Andreas I. Chrysochos; Jovica V. Milanović

doi:10.1109/TPWRS.2018.2830817

Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation

Panagiotis N. Papadopoulos, Theofilos A. Papadopoulos, Andreas I. Chrysochos, Jovica V. Milanović

Electronic And Electrical Engineering

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

10 Citations (Scopus)

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Abstract

This paper introduces a hybrid-methodology for online identification and clustering of generator oscillatory behavior, based on measured responses. The dominant modes in generator measured responses are initially identified using a mode identification technique and then introduced, in the next step, as input into a clustering algorithm. Critical groups of generators that exhibit poorly or negatively damped oscillations are identified, in order to enable corrective control actions and stabilize the system. The uncertainties associated with operation of modern power systems, including Renewable Energy Sources (RES) are investigated, with emphasis on the impact of the dynamic behavior of power electronic interfaced RES.

Original language	English
Pages (from-to)	6466-6475
Number of pages	10
Journal	IEEE Transactions on Power Systems
Volume	33
Issue number	6
Early online date	27 Apr 2018
DOIs	https://doi.org/10.1109/TPWRS.2018.2830817
Publication status	Published - 30 Nov 2018

Keywords

clustering
online dynamic security assessment
renewable generation
unsupervised maching learning

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10.1109/TPWRS.2018.2830817

Papadopoulos-etal-IEEE-TOPS-2018-Measurement-based-method-for-online-characterization-of-generatorAccepted author manuscript, 3.21 MB

UK-India wide area protection project (Advanced Communication and Control for the Prevention of Blackouts ACCEPT)
Booth, C. (Principal Investigator) & Roscoe, A. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/14 → 31/12/17
Project: Research

Cite this

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title = "Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation",

abstract = "This paper introduces a hybrid-methodology for online identification and clustering of generator oscillatory behavior, based on measured responses. The dominant modes in generator measured responses are initially identified using a mode identification technique and then introduced, in the next step, as input into a clustering algorithm. Critical groups of generators that exhibit poorly or negatively damped oscillations are identified, in order to enable corrective control actions and stabilize the system. The uncertainties associated with operation of modern power systems, including Renewable Energy Sources (RES) are investigated, with emphasis on the impact of the dynamic behavior of power electronic interfaced RES.",

keywords = "clustering, online dynamic security assessment, renewable generation, unsupervised maching learning",

author = "Papadopoulos, {Panagiotis N.} and Papadopoulos, {Theofilos A.} and Chrysochos, {Andreas I.} and Milanovi{\'c}, {Jovica V.}",

note = "{\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",

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AU - Papadopoulos, Panagiotis N.

AU - Papadopoulos, Theofilos A.

AU - Chrysochos, Andreas I.

AU - Milanović, Jovica V.

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2018/11/30

Y1 - 2018/11/30

N2 - This paper introduces a hybrid-methodology for online identification and clustering of generator oscillatory behavior, based on measured responses. The dominant modes in generator measured responses are initially identified using a mode identification technique and then introduced, in the next step, as input into a clustering algorithm. Critical groups of generators that exhibit poorly or negatively damped oscillations are identified, in order to enable corrective control actions and stabilize the system. The uncertainties associated with operation of modern power systems, including Renewable Energy Sources (RES) are investigated, with emphasis on the impact of the dynamic behavior of power electronic interfaced RES.

AB - This paper introduces a hybrid-methodology for online identification and clustering of generator oscillatory behavior, based on measured responses. The dominant modes in generator measured responses are initially identified using a mode identification technique and then introduced, in the next step, as input into a clustering algorithm. Critical groups of generators that exhibit poorly or negatively damped oscillations are identified, in order to enable corrective control actions and stabilize the system. The uncertainties associated with operation of modern power systems, including Renewable Energy Sources (RES) are investigated, with emphasis on the impact of the dynamic behavior of power electronic interfaced RES.

KW - clustering

KW - online dynamic security assessment

KW - renewable generation

KW - unsupervised maching learning

U2 - 10.1109/TPWRS.2018.2830817

DO - 10.1109/TPWRS.2018.2830817

M3 - Article

SN - 0885-8950

VL - 33

SP - 6466

EP - 6475

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 6

ER -

Measurement based method for online characterization of generator dynamic behaviour in systems with renewable generation

Abstract

Keywords

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Projects

UK-India wide area protection project (Advanced Communication and Control for the Prevention of Blackouts ACCEPT)

Cite this