Evaluation of PMU performance during transients

Balabin, M.; Gorner, K.; Li, Y.; Naumkin, I.Ye.; Rehtanz, Christian

doi:10.1109/powercon.2010.5666079

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…A reference signal is acquired from a dependable utility site and transmitted to the generator site by means of Internet Protocol (IP) telecommunications [13]. At the generator site, the reference signal is compared to the synchrophasors acquired at the generator terminals.…”

Section: Synchrophasor Based Loss-of-main Detection Frameworkmentioning

confidence: 99%

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

Guo¹,

Li²,

Laverty³

2014

JPEE

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In this paper, our previous work on Principal Component Analysis (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor measurements. In the previous work, a static PCA model was built and verified to be capable of detecting and extracting system faulty events; however the false alarm rate is high. To address this problem, this paper uses a well-known 'time lag shift' method to include dynamic behavior of the PCA model based on the synchronized measurements from Phasor Measurement Units (PMU), which is named as the Dynamic Principal Component Analysis (DPCA). Compared with the static PCA approach as well as the traditional passive mechanisms of loss-of-main detection, the proposed DPCA procedure describes how the synchrophasors are linearly auto-and cross-correlated, based on conducting the singular value decomposition on the augmented time lagged synchrophasor matrix. Similar to the static PCA method, two statistics, namely T 2 and Q with confidence limits are calculated to form intuitive charts for engineers or operators to monitor the loss-of-main situation in real time. The effectiveness of the proposed methodology is evaluated on the loss-of-main monitoring of a real system, where the historic data are recorded from PMUs installed in several locations in the UK/Ireland power system.

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Section: Synchrophasor Based Loss-of-main Detection Frameworkmentioning

confidence: 99%

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

Guo¹,

Li²,

Laverty³

2014

JPEE

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“…From an operational perspective, HVDC links have the ability to connect otherwise disconnected asynchronous AC grids. This increases the flexibility to support either AC grid using bidirectional external infeed from the HVDC link [10]. An operational difficulty is the behavior of HVDC links during faults.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Operation of HVDC Based Power Transmission System

Liaqat¹

2019

IJTSRD

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Submodule overcurrent caused by DC pole-to-pole fault in modular multilevel converter HVDC (MMC-HVDC) system is one of the important research objects about its electrical characteristics. In this paper, the fault mechanism before and after the converter blocked was analyzed respectively and the circuit model for the analysis of submodule overcurrent was explored. The analytic equation for overcurrent calculation was deduced and a detailed analysis was also performed. The changes of submodule overcurrent stress with different circuit parameters were obtained and the key issues were also summed up. The results indicate that the submodule overcurrent is the AC system three-phase short-circuit current superposed the discharging current before the converter blocked, and the submodule overcurrent is the AC system three-phase short-circuit current superposed the valve reactor freewheeling current after the converter blocked. From the computation and simulation results, it is concluded that the analytical method is feasible and its calculation results are comparatively precise.

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“…The advent of Phasor Measurement Units, PMUs, introduces new capability to capture fast transient events and dynamic phenomena in power system synchronized to a global reference. This reference is provided by Global Positioning System, GPS, to several PMUs in the accurate time tag better than a microsecond accuracy [5]. Therefore, the reliable and uninterruptable communication system and available data processor at control center will provide more useful wide area monitoring system in order to implement online stability visualization system.…”

Section: Introductionmentioning

confidence: 99%

Real-time voltage stability monitoring and evaluation using synchorophasors

Salehi

Mohammed

2011

2011 North American Power Symposium

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This paper focuses on evaluating online voltage stability indices for an interconnected power system. The voltage stability indices are measured during the operation of the power system when the dynamic changes take places. The evaluation of the stability and security indices were performed by simulation and measurement of real-time data using Phasor Measurement Units (PMUs). The evaluation of the dynamic voltage stability indices were performed by creating dynamic load step change in both simulation and implementation at the library scale power system testing environment. The developed simulation involved the modeling of transmission line emulators with a pi structure. Monitoring software was developed and implemented for wide area control and monitoring system on the laboratory power system test-bed. The formulation of the various indices includes: fast voltage stability, line stability and load margin in addition to sensitivity of voltage variation to load changes. Simulation results were verified with measured and monitored data. A good agreement was achieved indicates the validity of the implemented procedure.

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Evaluation of PMU performance during transients

Cited by 9 publications

References 9 publications

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

Modelling and Operation of HVDC Based Power Transmission System

Real-time voltage stability monitoring and evaluation using synchorophasors

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