UPM Institutional Repository

Voltage stability index calculation by hybrid state estimation based on multi objective optimal phasor measurement unit placement


Citation

Matsukawa, Yoshiaki and Watanabe, Masayuki and Abdul Wahab, Noor Izzri and Othman, Mohammad Lutfi (2019) Voltage stability index calculation by hybrid state estimation based on multi objective optimal phasor measurement unit placement. Energies, 12 (14). art. no. 2688. pp. 1-19. ISSN 1996-1073

Abstract

Operation of a power system close to the voltage stability limit due to increasing of load demand and limited power sources may result in disastrous economic loss with voltage collapse of the entire power system. A system operator has to understand how far the system is from the critical boundary of the voltage collapse. This paper investigated the influence of State Estimation (SE) in the calculation of the Critical Boundary Index (CBI) as a voltage stability index. For SE, Hybrid State Estimation (HSE), including the measurement set of both Remote Terminal Unit (RTU) in Supervisory Control and Data Acquisition (SCADA) and Phasor Measurement Unit (PMU), is employed. Concurrently, the CBI is estimated using voltage phasor estimated by HSE based on optimal PMU location, which is selected from a Pareto optimal front obtained by the Non-dominated Sorting Genetic Algorithm II (NSGA-II). As a result of CBI estimation, HSE using PMU is relatively accurate in voltage stability index estimation compared to SCADA SE, which uses the RTU alone. However, when a mixed measurement condition in some lines affects the CBI estimation, it is suggested that it may be necessary to discard PMU measurements in some cases.


Download File

[img] Text
38329.pdf
Restricted to Repository staff only

Download (4MB)
Official URL or Download Paper: https://www.mdpi.com/1996-1073/12/14/2688

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/en12142688
Publisher: MDPI
Keywords: Phasor measurement unit; Voltage stability; Voltage collapse; Multi objective optimization; State estimation
Depositing User: Nabilah Mustapa
Date Deposited: 04 May 2020 16:18
Last Modified: 04 May 2020 16:18
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/en12142688
URI: http://psasir.upm.edu.my/id/eprint/38329
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item