Generator grouping cutset determination based on tree construction and constrained spectral clustering

Tyuryukanov, Ilya; Kaltsikis, Alexandros C. Karagiannis; Popov, Marjan; Meijden, Mart A. M. M. van der; Terzija, Vladimir

doi:10.1049/joe.2018.0243

Cited by 3 publications

(12 citation statements)

References 15 publications

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“…While there are multiple methods to retrieve generator coherency from rotor angles or rotor speeds [9], [16], knowing the machines that go out-ofstep does not automatically produce the set of transmission lines isolating those machines from the rest of the grid. In fact, computing such lines is an NP-hard constrained graph partitioning problem [7]. Due to this, we augment the real-time Fig.…”

Section: B Candidate Generator Groupings and Where To Splitmentioning

confidence: 99%

“…Although the coupling between the proposed OOS detection and sophisticated splitting boundary search methods was important to mention, this direction is not further pursued. Instead, the robust polynomial-time heuristic [7] is used in this paper to compute the splitting boundaries for each CGG. For power systems that do not support adaptive splitting boundary computations in their control centers, it is also possible to define fixed splitting boundaries for each CGG.…”

Section: B Candidate Generator Groupings and Where To Splitmentioning

confidence: 99%

“…Thus, positive values of (7b) indicate the power swing stages when generators tend to separate, while negative values of (7b) indicate the periods when generators tend to maintain synchronism. Based on (7), the following condition can be introduced to complement (2)-(3):…”

Section: A Oos Detection Using Coi-based Stability Indicatorsmentioning

confidence: 99%

“…The where problem typically aims to isolate the diverging generator groups while minimizing load and generator shedding within the formed network islands and enhancing their stability. This results in a mixed-integer nonlinear programming (MINLP) problem that is often approximated by various mixed-integer linear programming (MILP) formulations [5] or polynomial-time approximations [7] due to its high computational complexity. The when problem typically aims to detect OOS and to determine which generator groups should be separated from each other for the given instability.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Section: B Candidate Generator Groupings and Where To Splitmentioning

confidence: 99%

Section: B Candidate Generator Groupings and Where To Splitmentioning

confidence: 99%

Section: A Oos Detection Using Coi-based Stability Indicatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Tyuryukanov¹,

Popov²,

Bos³

et al. 2022

Preprint

Self Cite

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show abstract

“…The identification of coherent generator groups is not the key challenge addressed in the present paper. In fact, we follow the common approach used in the islanding literature and consider the slow coherency criterion as described in, e.g., [3], [13], [14].…”

Section: Optimization Problemmentioning

confidence: 99%

An MILP-based approach to tree partitioning with minimal power flow disruption and generator coherency constraints

Lan,

Zocca

2021

Preprint

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Tree partitioning has recently been proposed in the power systems literature as a less severe alternative to controlled islanding. In this paper, we formulate an optimization problem to tree partition a network with minimal power flow disruption and generator coherency constraints. We propose a single-stage MILP formulation to compute optimal solutions. Numerical experiments show that our MILP-based approach drastically decreases the power flow disruption when compared to an earlier proposed two-stage approach based on spectral clustering. Moreover, using a search space reduction procedure based on the Steiner Tree problem, the MILP-based approach computes near-optimal tree partitions in sub-second time for instances up to 500 buses.

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

Tyuryukanov

Bos

Meijden

et al. 2023

IEEE Trans. Power Delivery

Self Cite

View full text Add to dashboard Cite

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 well-known 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 article, we are proposing a novel PMU-based detector of loss of synchronism that utilizes generator PMU data 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.

show abstract

Generator grouping cutset determination based on tree construction and constrained spectral clustering

Cited by 3 publications

References 15 publications

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

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

An MILP-based approach to tree partitioning with minimal power flow disruption and generator coherency constraints

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

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