Angle Control-Based Multi-Terminal Out-of-Step Protection System

Sauhats, Antans Sauļus; Utāns, Andrejs; Antonovs, Dmitrijs; Svalovs, Andrejs

doi:10.3390/en10030308

Cited by 17 publications

(27 citation statements)

References 22 publications

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“…Thus, online generator coherency identification of a power system will be very useful when system separation is imminent due to OOS condition. The online monitoring of the power system providing greater observability over the entire system is facilitated by the availability of Synchrophasor data through phasor measurement units (PMUs) (Sauhats et al, 2017).…”

Section: (1)mentioning

confidence: 99%

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Identification of coherent groups of generators for out-of-step protection using online measurements

Muthugala¹,

Wadduwage

Wijayapala

et al. 2021

J. Natn. Sci. Foundation Sri Lanka

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Power swings are translations of oscillations in generator rotors, when the power system is subjected to severe disturbances. They can be categorised as stable swings, for which, the system itself can recover and the unstable swings, where system cannot recover itself but need some remedial action to gain the stability. An unstable power swing condition or out-of-step (OOS) event cannot be tolerable for a prolonged period of time due to its negative impact on the power system equipment and integrity. These oscillations might trigger protection relays, removing key transmission elements leading to widespread outages and even blackouts. Controlled islanding of the system is one of the solutions to isolate the systems operating asynchronously during OOS events. Therefore, identification of generator coherency would come in handy in the process of controlled islanding, where the generators with similar rotor dynamic characteristics swing together forming separate clusters in transmission network. Also, it is important that the coherency identification to become online based, as coherent groups may differ in response to various events and operating conditions. This paper proposes a generalized methodology to identify coherent groups of generators as an online decision-making approach based on real-time data. The accuracy of the proposed methodology is demonstrated using Sri Lanka power system as a case study.

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Section: (1)mentioning

confidence: 99%

“…OOS protection schemes can be found under two categories, namely, local-based and Wide Area Measurement System (WAMS)-based protection (Sauhats et al, 2017). Localised schemes normally monitor the variation of apparent impedance for detection of power swings and OOS only on a particular transmission element.…”

Section: Background Studymentioning

confidence: 99%

Identification of coherent groups of generators for out-of-step protection using online measurements

Muthugala¹,

Wadduwage

Wijayapala

et al. 2021

J. Natn. Sci. Foundation Sri Lanka

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“…Analysis of the simulated system contingencies shows that thermal overload of highvoltage transmission lines occurs before the loss of either static or dynamic stability. Only due to highly rare coincidental contingencies (short-circuit and failure of the primary and backup protection) an out-of-step mode may occur, which is then swiftly eliminated by dedicated out-of-step automation [11].…”

Section: Static and Dynamic Stability Of The System Is Not Testedmentioning

confidence: 99%

Impact of smart electric thermal storage on transmission grid limitations

Sauhats

Kovaļenko

Baltputnis

et al. 2017

2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Syst

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This paper examines the potential benefits smart and quickly controllable load can provide for transmission network congestion management if end-users give the transmission network operator or an independent aggregator service access to disconnect their devices in case of contingencies. The necessary amount of available quickly controllable load for the fulfilment of N-1 criteria is found for the case study of the Latvian power system. Of particular interest is the possibility to increase the maximum available transfer capacity between the Latvian and Estonian bidding areas by removing the N-1 provision from the calculation of the cross-border trading capacity if it can be supplied by the controllable load instead. For this purpose, a steady-state power flow model of the 330 kV transmission network and its interconnections with neighboring countries is used for simulations.

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“…The when problem typically aims to detect OOS and to determine which generator groups should be separated from each other for the given instability. The typical wide-area approach to this problem involves declaring instability once the angle difference between a pair of power system areas reaches a certain threshold and subsequently separating these areas [8], [9]. However, it is acknowledged that the unstable angle differences between the areas are hard to select as they often differ for various disturbances [8].…”

Section: Introductionmentioning

confidence: 99%

Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy

Tyuryukanov¹,

Popov²,

Bos³

et al. 2022

Preprint

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With the growing number of severe system disturbances and blackouts around the world, controlled system separation is becoming an increasingly important system integrity protection scheme (SIPS) to save the electric power system from a complete or partial disintegration. A successful controlled splitting approach should at least tackle the following two wellknown and interrelated problems: "when to split?" and "where to split?". Multiple previous publications consider these problems separately, and even those pursuing a combined approach propose solutions with limited applicability. In this paper, we are proposing a novel PMU-based detector of loss of synchronism that utilizes generator rotor angles and speeds to promptly detect rotor angle instabilities over a wide area. Moreover, we are showing how our loss of synchronism detection principle can be coupled with the known controlled splitting techniques to form an integrated defense scheme against unintentional loss of synchronism. The performance of this wide-area SIPS is demonstrated on the IEEE 39-bus test power system for various types of unstable conditions.

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Angle Control-Based Multi-Terminal Out-of-Step Protection System

Cited by 17 publications

References 22 publications

Identification of coherent groups of generators for out-of-step protection using online measurements

Identification of coherent groups of generators for out-of-step protection using online measurements

Impact of smart electric thermal storage on transmission grid limitations

Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy

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