Synchrophasor-based power system protection and control applications

Schweitzer, Edmund O.; Whitehead, David E.; Zweigle, Greg; Ravikumar, Krishnanjan Gubba; Rzepka, Greg

doi:10.1109/cpre.2010.5469481

Cited by 62 publications

(29 citation statements)

References 6 publications

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“…Commercial systems that integrate data from line sensors, detailed feeder models, and substation measurements exist, notably from Schweitzer Laboratories (Schweitzer et al 2010), and have been demonstrated to be accurate to within tens of feet. Wide-scale deployment of these systems is limited, however, possibly because of difficulties in integrating different data communication streams and system network models, which vary between, and even within, utilities.…”

Section: Fault Location Toolsmentioning

confidence: 99%

Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis

Stewart

Kiliccote

McParland

et al. 2014

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This report reviews the potential for distribution-grid phase-angle data that will be available from new micro-synchrophasors (µPMUs) to be utilized in existing distributiongrid planning and operations analysis. This data could augment the current diagnostic capabilities of grid analysis software, used in both planning and operations for applications such as fault location, and provide data for more accurate modeling of the distribution system. µPMUs are new distribution-grid sensors that will advance measurement and diagnostic capabilities and provide improved visibility of the distribution grid, enabling analysis of the grid's increasingly complex loads that include features such as large volumes of distributed generation. Large volumes of DG leads to concerns on continued reliable operation of the grid, due to changing power flow characteristics and active generation, with its own protection and control capabilities. Using µPMU data on change in voltage phase angle between two points in conjunction with new and existing distribution-grid planning and operational tools is expected to enable model validation, state estimation, fault location, and renewable resource/load characterization. Our findings include: data measurement is outstripping the processing capabilities of planning and operational tools; not every tool can visualize a voltage phase-angle measurement to the degree of accuracy measured by advanced sensors, and the degree of accuracy in measurement required for the distribution grid is not defined; solving methods cannot handle the high volumes of data generated by modern sensors, so new models and solving methods (such as graph trace analysis) are needed; standardization of sensor-data communications platforms in planning and applications tools would allow integration of different vendors' sensors and advanced measurement devices. In addition, data from advanced sources such as µPMUs could be used to validate models to improve/ensure accuracy, providing information on normally estimated values such as underground conductor impedance, and characterization of complex loads. Although the input of high-fidelity data to existing tools will be challenging, µPMU data on phase angle (as well as other data from advanced sensors) will be useful for basic operational decisions that are based on a trend of changing data.

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Section: Fault Location Toolsmentioning

confidence: 99%

Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis

Stewart

Kiliccote

McParland

et al. 2014

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“…In cases of small differences between the load power and the PV output power, this method may not be able to detect islanding due to the large NDZ. An example of NDZ is given in Figure 3; the mismatch regions of the power components are represented by the shaded area where this method cannot detect the islanding events [9,[11][12][13][14].…”

Section: Passive Islanding Methodsmentioning

confidence: 99%

Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems

2018

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Photovoltaic (PV) power grid-connected systems have the advantages of being prompt and reliable supplies of electrical power. Nevertheless, the installation and operation requirements from the grid side have to be fulfilled in order to guarantee the security of the PV system technicians and the efficiency of the power system. Particularly, the potential for "islanding" is one of the dreads that are brought about by PV grid-connected systems. To be able to tackle these concerns, this paper investigates recent islanding detection techniques and topologies for PV systems. Active islanding detection techniques apply regular disturbances to the inverter system and then analyze the output voltage or frequency to investigate the islanding and stability of the grid. If the injected disturbances influence the load voltage or frequency, the controller forces the intermediate inverter to stop sending power to the connected load. In addition, several islanding detection techniques that inject a periodical signal to the reference current that causes a change in the magnitude of inverter output voltage when islanding happens in a three-phase photovoltaic grid-connected system are discussed. The validity of the proposed technique is tested and verified through PSIM software.

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“…In the last two decades, availability of synchronized measurements utilizing PMU devices has become a turning point in power system monitoring, protection and control [23]. In this section, we use the SIL synchrophasor testbed to evaluate a newly proposed fault location method in realistic field conditions.…”

Section: Sil Testbed Use For Developing and Evaluating Synchrophasor mentioning

confidence: 99%

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

Kezunovic¹,

Esmailian²,

Manimaran³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Synchrophasor-based power system protection and control applications

Cited by 62 publications

References 6 publications

Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis

Using Micro-Synchrophasor Data for Advanced Distribution Grid Planning and Operations Analysis

Comparative Study of Passive and Active Islanding Detection Methods for PV Grid-Connected Systems

The Use of System in the Loop, Hardware in the Loop, and Co-modeling of Cyber-Physical Systems in Developing and Evaluating New Smart Grid Solutions

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