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- Publisher Website: 10.1109/TSG.2016.2570943
- Scopus: eid_2-s2.0-85042280294
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Article: Multi-Area Dynamic State Estimation with PMU Measurements by an Equality Constrained Extended Kalman Filter
Title | Multi-Area Dynamic State Estimation with PMU Measurements by an Equality Constrained Extended Kalman Filter |
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Authors | |
Keywords | Dynamic state estimation Extended Kalman filter with equality constraints Multiple areas PMUs |
Issue Date | 2018 |
Citation | IEEE Transactions on Smart Grid, 2018, v. 9 n. 2, p. 900-910 How to Cite? |
Abstract | To achieve higher accuracy of estimated dynamic states, PMU measurements of buses in a network can be used for dynamic state estimation (DSE). However, it is difficult to coordinate the states of boundary buses in different areas when performing multi-area DSE. By using PMU measurements of buses in the network, this paper proposes an extended Kalman filter (EKF) based method with equality constraints to conduct multi-area DSE. First, a corrective strategy is proposed to estimate a corrective internal voltage (CIV) and a corrective rotor angle (CRA) of each generator with all PMUs’ measurements. The proposed corrective strategy can also ensure the consistency of the boundary buses in the multi-areas. Then, the CIV and the CRA are used to establish equality constraints for updating the dynamic states with the PMU measurements. An IEEE 30-bus system and an IEEE 118-bus system are used to validate the proposed method, with the results showing the feasibility and accuracy of the proposed method. |
Persistent Identifier | http://hdl.handle.net/10722/229185 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 4.863 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, C | - |
dc.contributor.author | Qin, Z | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Yan, J | - |
dc.date.accessioned | 2016-08-23T14:09:31Z | - |
dc.date.available | 2016-08-23T14:09:31Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE Transactions on Smart Grid, 2018, v. 9 n. 2, p. 900-910 | - |
dc.identifier.issn | 1949-3053 | - |
dc.identifier.uri | http://hdl.handle.net/10722/229185 | - |
dc.description.abstract | To achieve higher accuracy of estimated dynamic states, PMU measurements of buses in a network can be used for dynamic state estimation (DSE). However, it is difficult to coordinate the states of boundary buses in different areas when performing multi-area DSE. By using PMU measurements of buses in the network, this paper proposes an extended Kalman filter (EKF) based method with equality constraints to conduct multi-area DSE. First, a corrective strategy is proposed to estimate a corrective internal voltage (CIV) and a corrective rotor angle (CRA) of each generator with all PMUs’ measurements. The proposed corrective strategy can also ensure the consistency of the boundary buses in the multi-areas. Then, the CIV and the CRA are used to establish equality constraints for updating the dynamic states with the PMU measurements. An IEEE 30-bus system and an IEEE 118-bus system are used to validate the proposed method, with the results showing the feasibility and accuracy of the proposed method. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Smart Grid | - |
dc.subject | Dynamic state estimation | - |
dc.subject | Extended Kalman filter with equality constraints | - |
dc.subject | Multiple areas | - |
dc.subject | PMUs | - |
dc.title | Multi-Area Dynamic State Estimation with PMU Measurements by an Equality Constrained Extended Kalman Filter | - |
dc.type | Article | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSG.2016.2570943 | - |
dc.identifier.scopus | eid_2-s2.0-85042280294 | - |
dc.identifier.hkuros | 260914 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 900 | - |
dc.identifier.epage | 910 | - |
dc.identifier.isi | WOS:000425530800039 | - |
dc.identifier.issnl | 1949-3053 | - |