Identification of Power System Dominant Inter-Area Oscillation Paths

Chompoobutrgool, Yuwa; Vanfretti, Luigi

doi:10.1109/tpwrs.2012.2227840

Cited by 46 publications

(23 citation statements)

References 10 publications

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“…The simulations were executed by a LabVIEW module using the normalized system characteristic matrices (A,B,C and D) obtained by linearising the KTH-NORDIC 32 model presented in [8]. In the model, there are 52 buses, 52 transmission lines, 28 transformers and 20 generators (connected to buses 1-20).…”

Section: Synthetic Pmu Data Generationmentioning

confidence: 99%

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‘In silico’ testing of a decentralized PMU data-based power systems mode estimator

Singh

Baudette

Hooshyar

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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Abstract-This paper presents the software implementation of a Phasor Measurement Unit (PMU) data-based mode estimation application in a decentralized mode estimation architecture. This work builds from previous efforts in the development of a mode estimator implemented using a centralized architecture, meaning a set of modes were estimated for the whole system in a single processing location. One drawback of mode estimators that use centralized mode architecture is that the observability and therefore estimation of important low-damped local electromechanical modes can be affected by the higher observability of other dominant modes of the systems (e.g inter-area modes). This work proposes, implements and tests a decentralized architecture in order to increase the observation capability to provide better estimates of local low damped oscillations. In this architecture, the data from a single PMU or a group of local PMUs could be processed by a processor to estimate the modal parameters observed at a specific part of the grid or observed by specific group of PMUs. The decentralized architecture and results of tests are presented in this paper together with comparison with a centralized architecture.

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Section: Synthetic Pmu Data Generationmentioning

confidence: 99%

“…Observable paths of the two inter-area modes were already known. According to [8], the dominant inter-area oscillation path for Mode 1 was identified to be 52-51-35-37-38-40-48-49-50. Similarly, buses 50-49-44-47 formed the dominant path for Mode 2.…”

Section: Synthetic Pmu Data Generationmentioning

confidence: 99%

‘In silico’ testing of a decentralized PMU data-based power systems mode estimator

Singh

Baudette

Hooshyar

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

Self Cite

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“…Further work will be focused on using different types of real PMU signals from an RT-HIL setup as input to an external hardware-based stabilizer implementation as experimental proof of the theoretical results in [16]. These results will be submitted in a future publication.…”

Section: Discussionmentioning

confidence: 99%

RT-HIL testing of an excitation control system for oscillation damping using external stabilizing signals

Almas

Vanfretti

2015

2015 IEEE Power &Amp; Energy Society General Meeting

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“…In a WAMPAC application for measurement-based dynamic power system stability assessment [15], PMU measurements would ideally be deployed in the far ends of a dominant inter-area path [16], as the combination of signals from it provide the highest dynamic observability [17]. Applying modal estimation techniques, properties 2 of sensitive modes of a mode can be estimated.…”

Section: A Oscillationsmentioning

confidence: 99%

Analysis of communication network challenges for synchrophasor-based wide-area applications

Danielson¹,

Vanfretti

Almas

et al. 2013

2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid

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Abstract-Wide-area synchrophasor applications inherently depend on the underlying IT and communications infrastructure supporting them. In particular, closed loop control systems for power grid oscillation damping is problematic, as it is a complex mixture of power grid monitoring, communication network properties and overall system stability issues. This article offers a holistic analysis of these fields, proposing a combined requirement on the full system: to keep system delays down to maintain stability. Simulation results to support the analysis findings, also showing how observability of power oscillations is important in combination with system delays related to feedback signals, and finally laying out experimentation plans to be performed in the lab on a complex power-grid model with real PMUs, communication network and controllers interacting with the SmarTS Lab real-time hardware-in-the-loop simulator platform.

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Identification of Power System Dominant Inter-Area Oscillation Paths

Cited by 46 publications

References 10 publications

‘In silico’ testing of a decentralized PMU data-based power systems mode estimator

‘In silico’ testing of a decentralized PMU data-based power systems mode estimator

RT-HIL testing of an excitation control system for oscillation damping using external stabilizing signals

Analysis of communication network challenges for synchrophasor-based wide-area applications

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