Online Inertia Estimation for Power Systems With High Penetration of RES Using Recursive Parameters Estimation

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aut.relation.articlenumberrpg2.12181en_NZ
aut.relation.journalIET Renewable Power Generationen_NZ
aut.researcherLie, Tek
dc.contributor.authorMakolo, Pen_NZ
dc.contributor.authorZamora, Ren_NZ
dc.contributor.authorLie, Ten_NZ
dc.date.accessioned2021-04-19T23:58:02Z
dc.date.available2021-04-19T23:58:02Z
dc.description.abstractLow and time‐changing inertia values due to the high percentage of renewable energy sources (RESs) can cause stability problems in power systems due to rapid frequency instabilities. Inertia monitoring will assist operators to apply suitable actions and more proper control methods to alleviate stability issues. Therefore, this paper proposes an online method to estimate the total inertia of a network using a recursive least‐squares approach. The proposed method uses network measurements with a non‐recursive system identification approach to initially estimate the network hypothesis model. Then, the recursive method is used together with time changing measurements to recursively estimate model parameters and extract online inertia estimates of the network. During the estimation, the method does not need to store previous data after each sample step; therefore, the computation burden is significantly reduced. More importantly, the technique incorporates the use of available electromechanical oscillation modes in the system, which are linked with system parameters, to determine the network inertia estimates. The applicability of the proposed method has been validated by numerical simulations of the IEEE 39‐bus network and the aggregated New Zealand network with its actual inertia data.
dc.identifier.citationIET Renew. Power Gener. 1– 15 (2021). https://doi.org/10.1049/rpg2.12181
dc.identifier.doi10.1049/rpg2.12181en_NZ
dc.identifier.issn1752-1416en_NZ
dc.identifier.issn1752-1424en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14130
dc.languageenen_NZ
dc.publisherInstitution of Engineering and Technology (IET)en_NZ
dc.relation.urihttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.12181
dc.rights© 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccessen_NZ
dc.titleOnline Inertia Estimation for Power Systems With High Penetration of RES Using Recursive Parameters Estimationen_NZ
dc.typeJournal Article
pubs.elements-id400341
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/Faculty Central
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences/Centre for Energy & Power Engineering
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