Controlled islanding of power systems using label propagation

Qing, Xiangyun

doi:10.1002/tee.22081

Cited by 8 publications

(7 citation statements)

References 23 publications

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“…The paper proposed a novel intentional islanding strategy through the integration of equivalent electrical distance, a new line weight index, and the ABC algorithm. It helps in avoiding large‐area blackouts and minimizing outage losses by splitting the bulk distribution network system into a couple of self‐sustaining islands powered by DGs .…”

Section: Discussionmentioning

confidence: 99%

A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm

Zhang

Peng

et al. 2017

IEEJ Transactions Elec Engng

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Intentional islanding is an effective approach to avoid large-area blackouts and minimize outage losses through making full use of renewable energy sources. This paper proposes a novel strategy based on node electrical relevance and artificial bee colony algorithm. The node electrical relevance is defined with equivalent electrical distance and traditional line weight, which can reflect the electrical characteristics of power systems, differentiating the proposed strategy from most existing strategies which are based on graph theory. The artificial bee colony (ABC) algorithm employed has fewer control parameters, strong robustness, and high accuracy; therefore, more loads can be incorporated into islands and restored. The constraints of load priority, load controllability, line capacity, and stable operation requirements of power systems are considered to tally with the actual distribution networks. The strategy is tested using the IEEE 69-bus distribution system and compared with other strategies from the literature. The simulation results demonstrate that the proposed strategy is more feasible and efficient.

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Section: Discussionmentioning

confidence: 99%

A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm

Zhang

Peng

et al. 2017

IEEJ Transactions Elec Engng

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“…In interconnected power systems, coherency identification of generators can be very important for reducing the dynamic model order and initiating islanding when large changes in loads or generation may lead the power system into different balanced islands to avoid wide-area blackouts [26,27]. Intuitively, a group of generators is said to be coherent if after some disturbances, they present similar time-domain response trends.…”

Section: Identifying Coherent Generators In a Power Systemmentioning

confidence: 99%

Nuclear norm regularised dynamic mode decomposition

Wang

Qing

2016

IET signal process.

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As a data-driven, equation-free decomposition method, the DMD can characterise dynamic behaviour of a nonlinear system by using the DMD modes and eigenvalues. However, all current provable algorithms suffer from a separate procedure for obtaining the DMD modes and determining the number of modes. In this study, the authors propose a nuclear norm regularised DMD (NNR-DMD) algorithm that produces low-dimensional spatio-temporal modes. A nuclear norm regularisation term is added to the optimisation problem of the standard DMD algorithm for prompting the sparsity of the projected DMD modes. Split Bregman method is applied to solve the regularised convex, but nonsmooth optimisation problem. Several numerical examples demonstrate the potential of the proposed NNR-DMD algorithm: (i) it can identify the low-dimensional spatio-temporal DMD modes in which each of them possesses a single temporal frequency; (ii) the reconstruction errors based on the sparse DMD modes can be reduced when it compares with the sparsity-promoting DMD algorithm penalising the l 1-norm of the vector of DMD amplitudes; and (iii) it can obtain low-dimensional coherent structures when the NNR-DMD algorithm is applied to coherency identification of generators in an interconnected power system.

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“…Note that DTs are not the only classifiers used in this filed. For example, the authors in [25], [26] and [27] proposed machine-learningbased controlled islanding approaches, which used artificial neural networks and label propagation.…”

Section: Introductionmentioning

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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Controlled islanding of power systems using label propagation

Cited by 8 publications

References 23 publications

A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm

A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm

Nuclear norm regularised dynamic mode decomposition

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

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