Synchronized Phasor Measurements of a Power System Event in Eastern Denmark

Rasmussen, J.; Jørgensen, P. E. V.

doi:10.1109/tpwrs.2005.860947

Cited by 37 publications

(9 citation statements)

References 6 publications

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“…The method of collecting and using this information impacts communications and data processing requirements. These requirements can vary from a serial cable and hand-held calculator to a 1 Gbps Ethernet network with multi-tiered data concentrators and server [11] [12]. With the advent of Global Positioning System (GPS) [13], the synchronized sampling signals are available in modern workstations.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Discovery from Dynamic Data on a Nonlinear System

Chang

2015

OJAppS

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A method is presented for performing knowledge discovery on the dynamic data of a nonlinear system. In the proposed approach, a synchronized phasor measurement technique is used to acquire the dynamic data of the nonlinear system and a hyper-rectangular type neural network (HRTNN) is then applied to extract crisp and fuzzy rules with which to estimate the system stability. The effectiveness of the proposed methodology is verified using the dynamic data of a typical real-world nonlinear system, namely an AEP-14 bus, and the extracted rules are relating to the knowledge discovery of the stability levels for the nonlinear system. The discovered relationships among the dynamic data (i.e., the operating state), the extracted rules, and the system stability are confirmed by means of a two-stage confirmatory factor analysis.

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Section: Introductionmentioning

confidence: 99%

Knowledge Discovery from Dynamic Data on a Nonlinear System

Chang

2015

OJAppS

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“…These applications include online power oscillation detection and monitoring, post-disturbance analysis, state estimation, system model construction and validation, controller parameters fine-tuning, etc. In one word, application of PMUs brings many possibilities to realize wide-area power applications [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Kita-Hon HVDC Link for Load Frequency Control of Eastern Japan 50-Hz Power System Based on Application of The CampusWAMS

Okada

Watanabe

et al. 2010

2010 Asia-Pacific Power and Energy Engineering Conference

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The CampusWAMS (campus wide area measurement system) based on phasor measurement units (PMU), which covers ten electric power companies of Japan, has been developed for several years. Based only on practical phasor measurements from the CampusWAMS, the paper presents the analysis of KitaHon HVDC Link for load frequency control of Eastern Japan 50-Hz power system. Kita-Hon HVDC Link is practically equipped with automatic frequency control function and serves as only interconnection between Hokkaido side and Honshu side of Eastern Japan 50-Hz system. Therefore, it must have certain effects on the load frequency control of both sides. The analysis is carried out using phasor measurements under normal operating condition as well as during the period of a system disturbance. Particularly, the correlation between the frequency deviations of both sides is investigated when Kita-Hon HVDC Link is in operation and out of service, respectively. The effect and its characteristics of Kita-Hon HVDC Link on load frequency control of Eastern Japan 50-Hz power system is observed and concluded based on the analysis results.

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“…Design, implementation and test of small and large PMUs in Switzerland, Croatia, Canada, USA, Denmark, Italy, Australia, Japan, Brazil, Sweden, Austria, China, etc., are reported in [5][6][7][8][9][10][11][12] with different objectives, such as phase angle monitoring, line thermal monitoring, monitoring of important transmission corridors, post-mortem analysis of events, validation of simulation models used by power system stability programs, state estimation improvement, frequency regulation statistics, realtime detection of geomagnetic storms, disturbance monitoring, oscillations monitoring, system protection schemes, etc. However, on-line applications based on the huge amount of data that can be collected by these systems are still very limited, mainly when the subject is on-line stability analysis of the complete system [5,13,14].…”

Section: Introductionmentioning

confidence: 99%

On-line voltage stability assessment based on PMU measurements

García-Valle¹,

Silva²,

Nielsen³

2009

8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009)

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This paper presents a method for on-line monitoring of risk voltage collapse based on synchronised phasor measurement. As there is no room for intensive computation and analysis in real-time, the method is based on the combination of off-line computation and on-line monitoring, which are correlated through statistic analysis. During the off-line analysis, a memory of high-risk situations following a pre-defined voltage stability criterion is obtained. Thereafter, basic statistics analyses are applied resulting in the definition of voltage regions. During on-line operation, voltage magnitudes of critical buses obtained by phasor measurements are monitored in relation to the risk regions. Comprehensive studies demonstrate that the proposed method could assist operators to avoid voltage collapse events, by taking preventive or emergency actions.

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Synchronized Phasor Measurements of a Power System Event in Eastern Denmark

Abstract: Index Terms-Power system measurements, power system monitoring, power system stability.

Cited by 37 publications

References 6 publications

Knowledge Discovery from Dynamic Data on a Nonlinear System

Knowledge Discovery from Dynamic Data on a Nonlinear System

Analysis of Kita-Hon HVDC Link for Load Frequency Control of Eastern Japan 50-Hz Power System Based on Application of The CampusWAMS

On-line voltage stability assessment based on PMU measurements

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