<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear dependence due to duplicated measurements) and the existence of high leverage points (HLPs) (influential measurements). Hence, this paper proposes an incremental meter placement method. The proposed method utilizes the HLPs and aims to improve the numerical performance of the SE and facilitate the elimination of bad data. The cuckoo search optimization is used for selecting the optimal locations and the numbers of the new meters. The performance of the proposed algorithm is tested on UK 18-bus, the IEEE 30-bus, and 118-bus systems and simulation results show improvements in the quality of the SE solution.</p>
</abstract>

The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear dependence due to duplicated measurements) and the existence of high leverage points (HLPs) (influential measurements). Hence, this paper proposes an incremental meter placement method. The proposed method utilizes the HLPs and aims to improve the numerical performance of the SE and facilitate the elimination of bad data. The cuckoo search optimization is used for selecting the optimal locations and the numbers of the new meters. The performance of the proposed algorithm is tested on UK 18-bus, the IEEE 30-bus, and 118-bus systems and simulation results show improvements in the quality of the SE solution.

An incremental meter placement method for state estimation considering collinear measurements and high leverage points

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the...

An incremental meter placement method for state estimation considering collinear measurements and high leverage points

Article Category: Research-Article

Pubblicato online: 04 feb 2020

Pagine: 1 - 12

Ricevuto: 23 mar 2019

DOI: https://doi.org/10.21307/ijssis-2020-004

Parole chiave
Cuckoo search, Collinearity, High leverage points, Phasor measurement unit (PMU), State estimation.

© 2020 Hatim G. Abood et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

An incremental meter placement method for state estimation considering collinear measurements and high leverage points

Article Category: Research-Article

Pubblicato online: 04 feb 2020

Pagine: 1 - 12

Ricevuto: 23 mar 2019

DOI: https://doi.org/10.21307/ijssis-2020-004

Parole chiaveCuckoo search, Collinearity, High leverage points, Phasor measurement unit (PMU), State estimation.

© 2020 Hatim G. Abood et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Cuckoo search, Collinearity, High leverage points, Phasor measurement unit (PMU), State estimation.