Taxonomy of coherency detection and coherency‐based methods for generators grouping and power system partitioning

Koochi, Mohammad Hossein Rezaeian; Esmaeili, Saeid; Ledwich, Gerard

doi:10.1049/iet-gtd.2018.7028

Cited by 14 publications

(5 citation statements)

References 109 publications

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“…Simulations on the IEEE 39 and 118-bus test systems are performed to evaluate the effectiveness of the proposed method. The proposed method can be regarded as a coherency identification method considering sectionalizing constraints of parallel restoration, which divides the coherent generator buses and load buses into one strongly connected subsystem [39]. The subsystems generated by the proposed method are for the further application of parallel restoration strategies.…”

Section: Discussionmentioning

confidence: 99%

An Improved Label Propagation Algorithm-Based Method to Develop Sectionalizing Strategies for Parallel Power System Restoration

Huang

et al. 2020

IEEE Access

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The first task of parallel power system restoration is to sectionalize the blackout system into multiple subsystems. This paper applies the complex network community discovery theory into this sectionalizing problem and proposes an improved label propagation algorithm-based sectionalizing method considering the system topology and operation before blackouts. Firstly, each blackstart (BS) unit bus is marked with a different subsystem label. A label propagation matrix is calculated based on the active power of branches before the blackout. Then, to avoid the label oscillation, a novel label impact strategy considering the influence of the bus label itself is developed to improve the label propagation matrix. The buses' labels propagate to neighboring buses as the improved label propagation matrix until they do not change. The initial sectionalizing strategy is obtained through classifying the buses with the same label in the same subsystem. Finally, the sectionalizing constraints are used to evaluate the feasibility of the initial strategy. For the initial strategy that does not satisfy the constraints, a refining method to minimize the absolute value of active power exchange among subsystems is proposed to determine the final sectionalizing strategy based on it. Case studies on IEEE 39-bus and IEEE 118-bus test systems verify the effectiveness of the proposed method. The results indicate that the proposed method has advantages in creating strongly connected subsystems.

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Section: Discussionmentioning

confidence: 99%

An Improved Label Propagation Algorithm-Based Method to Develop Sectionalizing Strategies for Parallel Power System Restoration

Huang

et al. 2020

IEEE Access

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“…In data driven approaches, it is assumed that the degree of coherency between generators is not fixed and changes for different disturbances. A relatively up-to-date review on coherency evaluation techniques can be found in [28].…”

Section: Online Coherency Evaluation For Simpler Controlled Islandingmentioning

confidence: 99%

Coherency-Based Supervised Learning Approach for Determining Optimal Post-Disturbance System Separation Strategies

et al. 2023

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Controlled islanding is the last remedial action to prevent cascading outages or blackouts in power systems. Conventional methods presented for controlled islanding strategy determination, particularly those calculating load shedding values using optimization methods, are not fast enough in online applications for modern power systems. In this paper, a novel learning-based approach is introduced for online coherency-based controlled islanding in transmission systems. The proposed approach presents a prediction and optimization model, which is faster than conventional optimization-based models in two ways. Firstly, the proposed approach uses a classification model to predict the splitting scheme in a short time following the occurrence of a disturbance, and secondly in the proposed approach, a simpler optimization problem with fewer variables is solved to find the load shedding amount required in each area. In the proposed load shedding approach, some candidate system partitioning schemes are calculated beforehand and therefore, the load shedding optimization problem is simplified significantly compared to similar optimization-based approaches. Note that appropriate features, which are used in this paper as the input of the classifier, are acquired by processing post-disturbance phase angle variations, which are measured across the network. The proposed approach is simulated on the 16-machine, 68-bus system, and its accuracy and efficacy have been demonstrated.

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“…During oscillations, portions of the network normally named as areas of the network are formed that oscillate against each other which are referred to as coherent areas. Coherency identification in power system networks gives a clear understanding of the dynamic behavior of the post-fault system [1,2]. Further, coherency detection plays an essential role in controlled islanding and it helps to locate the line where the separation should take place before system failure due to out-of-step condition [3].…”

Section: Introductionmentioning

confidence: 99%

“…However, any change in this operation point due to variations in the network configuration will lead to invalid linearization, causing inaccurate coherency results. Furthermore, it is time-consuming to obtain the system state matrix [2] and requires extensive offline analytical studies [4,6,7].…”

Section: Introductionmentioning

confidence: 99%

Voltage angle‐based coherency identification in power system

Alnassar,

Selukka Thulasiram

2024

IET Generation Trans & Dist

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Coherency detection in power system is vital step for controlled‐islanding. Model‐based slow‐coherency method is the traditional method of detecting coherent areas, which suffers from computational burdens. With the implementation of a wide‐area measurement system (WAMS) in power systems, coherent areas can be detected early after a disturbance that helps to ensure quick separation or remedial action. In this study, a novel Synchrophasor‐based coherency identification method has been proposed with bus voltage angle measurement. A new algorithm is proposed based on the first and second derivatives of the bus voltage phase angle using hierarchical clustering method for coherency detection. The proposed approach leverages hierarchical clustering method and the dynamics reflected in the bus voltage phase angle behavior to achieve automatic and accurate coherency identification. Real time simulation results demonstrate the ability of the proposed algorithm to detect the coherency with three consecutive PMU data from all the system buses and showcase coherent area boundaries. Case studies show robustness of the proposed method and is least affected by the latency in communication network compared to conventional methods. The proposed algorithm has been mathematically formulated and evaluated with different benchmark systems in OPAL‐RT real‐time simulation environment with HYPERSIM platform.

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Taxonomy of coherency detection and coherency‐based methods for generators grouping and power system partitioning

Cited by 14 publications

References 109 publications

An Improved Label Propagation Algorithm-Based Method to Develop Sectionalizing Strategies for Parallel Power System Restoration

An Improved Label Propagation Algorithm-Based Method to Develop Sectionalizing Strategies for Parallel Power System Restoration

Coherency-Based Supervised Learning Approach for Determining Optimal Post-Disturbance System Separation Strategies

Voltage angle‐based coherency identification in power system

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