PMU and DSA based wide area control system: Concept and application in large longitudinal system

Kerin, Uros; Krebs, R.

doi:10.1109/eurocon.2017.8011220

Cited by 3 publications

(5 citation statements)

References 3 publications

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“…From the remaining 34 papers, 7 address frequency stability issues [127], [146], [150], [168], [235], [237], [257] and 10 papers address voltage stability [55], [149], [152], [184], [191], [194], [201], [244], [245], [260]. The remaining papers (17 in total) propose strategies addressing two or more kind of stabilities [123], [131], [143], [154], [160], [183], [205], [209], [224], [225], [226], [229], [234], [239], [243], [246], [247].…”

Section: ) Centralized Controlmentioning

confidence: 99%

“…In most cases, a purely load shedding scheme is performed, such as in [62], [183], [184], [191], [201], [205]. [224], [225], [226], [229], [237], [239], [243], [244], [246], [247], [257], and [259]. Approaches using purely generation tripping schemes are less common, such as [204], [207], [219].…”

Section: ) Load Shedding and Generation Trippingmentioning

confidence: 99%

“…Such non-optimal schemes were presented in [229], [233], [234], [237], [239], [243], and [247]. In [226], several performance indices were used for performing load shedding. Despite stating that the load shedding location is decided optimally, no optimization methodology is presented and thus how (and more importantly, which of) the indices are used in an optimal manner is not clear.…”

Section: ) Miscellaneousmentioning

confidence: 99%

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Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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Countries around the world are transitioning from conventional power systems dominated by synchronous generators towards low-carbon resources, characterized by high levels of converter-interfaced generators (CIGs). With this transformation, hundreds or even thousands of fast power electronic devices will be added to the grid as CIG penetration increases, thus making the system dynamic response progressively faster and more complex. This future scenario poses significant challenges in power system stability and control. To sustain power system stability in future power systems and achieve a seamless transition, we need to depart from current control practices based on decentralized and stand-alone local control actions and begin to explore new methods. A promising technology to overcome control complexities and underlying stability issues in future low-inertia power systems are wide area control (WAC). Within this technology, the control is no longer based on a purely localized tasks but rather a set of coordinated actions across wide areas in which interplant communication plays a key role. This paper presents the state of the art of existing research efforts in the field of WAC strategies for maintaining stability in large-scale low-inertia power systems of the future. We present different WAC solutions that have been put forward hitherto, we put these control strategies into context, classify them, and finally relate them to each other. We also raise open questions and challenges that need to be addressed in order to ensure a secure transition towards power systems dominated by CIGs. INDEX TERMS Power system control, power system stability, time delays, telecommunication issues, widearea measurement systems (WAMSs), wide-area power systems (WAPSs), wide-area control (WAC), power system control architecture, control techniques.

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Section: ) Centralized Controlmentioning

confidence: 99%

Section: ) Load Shedding and Generation Trippingmentioning

confidence: 99%

Section: ) Miscellaneousmentioning

confidence: 99%

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Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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“…( ) = (7) The number of PMUs required for complete observability (while considering zero injection buses) for the IEEE-118 bus system is 29. They were placed on buses 3,8,11,12,17,20,23,28,34,37,40,45,49,52,56,62,65,72,75,77,80,85,86,91,94,102,105,110, and 114.…”

Section: =1mentioning

confidence: 99%

“…Direct methods for transient stability assessment employing Lyapunov stability were utilized in [4]- [7]. A variety of PMU-based indices for DSA including those for short-term voltage stability were explored in [8]. Beside the above-mentioned approaches, probabilistic methods, and dynamic state estimation have also been used for performing DSA [9]- [12].…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning for Online Dynamic Security Assessment in Presence of System Variability and Additive Instrumentation Errors

Nath

Biswas

Pal

2019

2019 North American Power Symposium (NAPS)

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Large-scale blackouts that have occurred in the past few decades have necessitated the need to do extensive research in the field of grid security assessment. With the aid of synchrophasor technology, which uses phasor measurement unit (PMU) data, dynamic security assessment (DSA) can be performed online. However, existing applications of DSA are challenged by variability in system conditions and unaccounted for measurement errors. To overcome these challenges, this research develops a DSA scheme to provide security prediction in real-time for load profiles of different seasons in presence of realistic errors in the PMU measurements. The major contributions of this paper are: (1) develop a DSA scheme based on PMU data, (2) consider seasonal load profiles, (3) account for varying penetrations of renewable generation, and (4) compare the accuracy of different machine learning (ML) algorithms for DSA with and without erroneous measurements. The performance of this approach is tested on the IEEE-118 bus system. Comparative analysis of the accuracies of the ML algorithms under different operating scenarios highlights the importance of considering realistic errors and variability in system conditions while creating a DSA scheme.

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