Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE

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...

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Main Authors: Matsukawa, Yoshiaki, Watanabe, Masayuki, Abdul Wahab, Noor Izzri, Othman, Mohammad Lutf
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Online Access:http://psasir.upm.edu.my/id/eprint/82735/
http://psasir.upm.edu.my/id/eprint/82735/1/Voltage%20Stability%20Index%20Calculation%20by%20Hybrid%20State%20Estimation%20Based%20on%20Multi%20Objective%20Optimal%20Phasor%20Measurement%20Unit%20Placement.pdf
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author Matsukawa, Yoshiaki
Watanabe, Masayuki
Abdul Wahab, Noor Izzri
Othman, Mohammad Lutf
author_facet Matsukawa, Yoshiaki
Watanabe, Masayuki
Abdul Wahab, Noor Izzri
Othman, Mohammad Lutf
author_sort Matsukawa, Yoshiaki
building UPM Institutional Repository
collection Online Access
description 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.
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spelling upm-827352021-12-03T02:57:31Z http://psasir.upm.edu.my/id/eprint/82735/ Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE Matsukawa, Yoshiaki Watanabe, Masayuki Abdul Wahab, Noor Izzri Othman, Mohammad Lutf 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. Multidisciplinary Digital Publishing Institute 2019-07-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82735/1/Voltage%20Stability%20Index%20Calculation%20by%20Hybrid%20State%20Estimation%20Based%20on%20Multi%20Objective%20Optimal%20Phasor%20Measurement%20Unit%20Placement.pdf Matsukawa, Yoshiaki and Watanabe, Masayuki and Abdul Wahab, Noor Izzri and Othman, Mohammad Lutf (2019) Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE. Energies, 12 (14). art. no. 2688. pp. 1-19. https://www.researchgate.net/publication/334439284_Voltage_Stability_Index_Calculation_by_Hybrid_State_Estimation_Based_on_Multi_Objective_Optimal_Phasor_Measurement_Unit_Place 10.3390/en12142688
spellingShingle Matsukawa, Yoshiaki
Watanabe, Masayuki
Abdul Wahab, Noor Izzri
Othman, Mohammad Lutf
Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title_full Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title_fullStr Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title_full_unstemmed Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title_short Voltage Stability Index Calculation by Hybrid State Estimation Based on Multi Objective Optimal Phasor Measurement Unit Placement DUPLICATE
title_sort voltage stability index calculation by hybrid state estimation based on multi objective optimal phasor measurement unit placement duplicate
url http://psasir.upm.edu.my/id/eprint/82735/
http://psasir.upm.edu.my/id/eprint/82735/
http://psasir.upm.edu.my/id/eprint/82735/
http://psasir.upm.edu.my/id/eprint/82735/1/Voltage%20Stability%20Index%20Calculation%20by%20Hybrid%20State%20Estimation%20Based%20on%20Multi%20Objective%20Optimal%20Phasor%20Measurement%20Unit%20Placement.pdf