Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids

This paper presents a PMU-based state estimation (SE) algorithm that uses a pseudo-dynamic network modeling approach. The pseudo-dynamic network model combines different equations with static network equations. Then it applies the weighted least squares algorithm to solve an over-determined least sq...

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Bibliographic Details
Main Authors: Wei Li, Luigi Vanfretti, Joe H. Chow
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
PMU
Online Access:https://ieeexplore.ieee.org/document/8119486/
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spelling doaj-5ad8da9f2f2a43629ca41d24ea83f2812021-03-29T20:29:21ZengIEEEIEEE Access2169-35362018-01-0164006401610.1109/ACCESS.2017.27771858119486Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC GridsWei Li0https://orcid.org/0000-0002-2845-8043Luigi Vanfretti1Joe H. Chow2Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, SwedenDepartment of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USADepartment of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USAThis paper presents a PMU-based state estimation (SE) algorithm that uses a pseudo-dynamic network modeling approach. The pseudo-dynamic network model combines different equations with static network equations. Then it applies the weighted least squares algorithm to solve an over-determined least squares estimation problem. The proposed method can improve SE accuracy during both steady state and transient conditions without increasing the computational burden. In addition, the proposed modeling approach is applied to networks containing both a STATCOM and a voltage source converter-HVdc to demonstrate how to develop and apply a pseudo-dynamic SE model. Case studies aim to illustrate and verify the performance of the proposed method under steady state and transient conditions.https://ieeexplore.ieee.org/document/8119486/Pseudo-dynamicPMUstate estimationSTATCOMVSC-HVDC
collection DOAJ
language English
format Article
sources DOAJ
author Wei Li
Luigi Vanfretti
Joe H. Chow
spellingShingle Wei Li
Luigi Vanfretti
Joe H. Chow
Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
IEEE Access
Pseudo-dynamic
PMU
state estimation
STATCOM
VSC-HVDC
author_facet Wei Li
Luigi Vanfretti
Joe H. Chow
author_sort Wei Li
title Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
title_short Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
title_full Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
title_fullStr Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
title_full_unstemmed Pseudo-Dynamic Network Modeling for PMU-Based State Estimation of Hybrid AC/DC Grids
title_sort pseudo-dynamic network modeling for pmu-based state estimation of hybrid ac/dc grids
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description This paper presents a PMU-based state estimation (SE) algorithm that uses a pseudo-dynamic network modeling approach. The pseudo-dynamic network model combines different equations with static network equations. Then it applies the weighted least squares algorithm to solve an over-determined least squares estimation problem. The proposed method can improve SE accuracy during both steady state and transient conditions without increasing the computational burden. In addition, the proposed modeling approach is applied to networks containing both a STATCOM and a voltage source converter-HVdc to demonstrate how to develop and apply a pseudo-dynamic SE model. Case studies aim to illustrate and verify the performance of the proposed method under steady state and transient conditions.
topic Pseudo-dynamic
PMU
state estimation
STATCOM
VSC-HVDC
url https://ieeexplore.ieee.org/document/8119486/
work_keys_str_mv AT weili pseudodynamicnetworkmodelingforpmubasedstateestimationofhybridacdcgrids
AT luigivanfretti pseudodynamicnetworkmodelingforpmubasedstateestimationofhybridacdcgrids
AT joehchow pseudodynamicnetworkmodelingforpmubasedstateestimationofhybridacdcgrids
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