Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions

Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions

In this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. Th...

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Main Authors: Jinpeng Guo, Xiaozhe Wang, Boon-Teck Ooi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Distributed RES
dynamic system model estimation
missing measurements
network topology change
online estimation
Online Access:https://ieeexplore.ieee.org/document/9099481/
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spelling doaj-fa2dce94014541e88d37cbc8190ebe172021-03-30T02:17:05ZengIEEEIEEE Access2169-35362020-01-018968789688710.1109/ACCESS.2020.29972919099481Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient ConditionsJinpeng Guo0https://orcid.org/0000-0001-8162-3004Xiaozhe Wang1Boon-Teck Ooi2Department of Electrical and Computer Engineering, McGill University, Montreal, QC, CanadaDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, CanadaDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, CanadaIn this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. The impact of missing PMUs is evaluated in detail, which shows that most entries of the dynamic model can still be well estimated in the case of missing PMUs. Simulation studies in the modified IEEE 68-bus system demonstrate that the proposed method can provide accurate estimation of the dynamic model in different operating conditions. The method can help detect topology change even when some PMUs are lost.https://ieeexplore.ieee.org/document/9099481/Distributed RESdynamic system model estimationmissing measurementsnetwork topology changeonline estimation
collection DOAJ
language English
format Article
sources DOAJ
author Jinpeng Guo
Xiaozhe Wang
Boon-Teck Ooi
spellingShingle Jinpeng Guo
Xiaozhe Wang
Boon-Teck Ooi
Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
IEEE Access
Distributed RES
dynamic system model estimation
missing measurements
network topology change
online estimation
author_facet Jinpeng Guo
Xiaozhe Wang
Boon-Teck Ooi
author_sort Jinpeng Guo
title Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
title_short Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
title_full Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
title_fullStr Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
title_full_unstemmed Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
title_sort online model-free estimation of the dynamic system model for a power system with renewables in ambient conditions
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. The impact of missing PMUs is evaluated in detail, which shows that most entries of the dynamic model can still be well estimated in the case of missing PMUs. Simulation studies in the modified IEEE 68-bus system demonstrate that the proposed method can provide accurate estimation of the dynamic model in different operating conditions. The method can help detect topology change even when some PMUs are lost.
topic Distributed RES
dynamic system model estimation
missing measurements
network topology change
online estimation
url https://ieeexplore.ieee.org/document/9099481/
work_keys_str_mv AT jinpengguo onlinemodelfreeestimationofthedynamicsystemmodelforapowersystemwithrenewablesinambientconditions
AT xiaozhewang onlinemodelfreeestimationofthedynamicsystemmodelforapowersystemwithrenewablesinambientconditions
AT boonteckooi onlinemodelfreeestimationofthedynamicsystemmodelforapowersystemwithrenewablesinambientconditions
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