Slow-Coherency-Based Controlled Islanding—A Demonstration of the Approach on the August 14, 2003 Blackout Scenario

Yang, Bo; Vittal, Vijay; Heydt, G.T.

doi:10.1109/tpwrs.2006.881126

Cited by 156 publications

(78 citation statements)

References 4 publications

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“…For instance, large-scale penetration of renewable power generation increases generation fluctuations, creating a need for fast as well as local disturbance attenuation. Distributed control of power systems might also provide efficient anti-islanding control and self-healing features, even when communication between subsystems is limited or even unavailable [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Distributed vs. centralized power systems frequency control

Andreasson

Dimarogonas

Johansson

et al. 2013

2013 European Control Conference (ECC)

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Abstract-This paper considers a distributed control algorithm for frequency control of electrical power systems. We propose a distributed controller which retains the reference frequency of the buses under unknown load changes, while asymptotically minimizing a quadratic cost of power generation. For comparison, we also propose a centralized controller which also retains the reference frequency while minimizing the same cost of power generation. We derive sufficient stability criteria for the parameters of both controllers. The controllers are evaluated by simulation on the IEEE 30 bus test network, where their performance is compared.

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Section: Introductionmentioning

confidence: 99%

Distributed vs. centralized power systems frequency control

Andreasson

Dimarogonas

Johansson

et al. 2013

2013 European Control Conference (ECC)

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“…Therefore, nodes 2, 3, 10, 11, 12, 13, 14, and 25 are defined as public nodes. Normal nodes 15,16,17,18,19,20,21,22,23, and 24 belong to the generator group {33, 34, 35, 36}. The calculated optimal splitting surface solution is shown in Figure 8 with the red dashed line (Scheme 1).…”

Section: Case 1: Assessment By Elm Model Is Reliablementioning

confidence: 99%

“…Slow coherency theory is the theoretical support for the first type [2,[20][21][22]. This type of method reduces the feasible solution space by identifying, in advance, slowly coherent groups of generators with which the dynamic behavior of each generator is considered.…”

Section: Introductionmentioning

confidence: 99%

PMU Measurement-Based Intelligent Strategy for Power System Controlled Islanding

et al. 2018

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Abstract:Controlled islanding is an effective remedy to prevent large-area blackouts in a power system under a critically unstable condition. When and where to separate the power system are the essential issues facing controlled islanding. In this paper, both tasks are studied to ensure higher time efficiency and a better post-splitting restoration effect. A transient stability assessment model based on extreme learning machine (ELM) and trajectory fitting (TF) is constructed to determine the start-up criterion for controlled islanding. This model works through prompt stability status judgment with ELM and selective result amendment with TF to ensure that the assessment is both efficient and accurate. Moreover, a splitting surface searching algorithm, subject to minimal power disruption, is proposed for determination of the controlled islanding implementing locations. A highlight of this algorithm is a proposed modified electrical distance concept defined by active power magnitude and reactance on transmission lines that realize a computational burden reduction without feasible solution loss. Finally, the simulation results and comparison analysis based on the New England 39-bus test system validates the implementation effects of the proposed controlled islanding strategy.

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“…As done by [8,18], the large-scale power system needs to be simplified before being split using this method. Based on slow coherency, You et al [10] and Yang et al [19] presented an islanding algorithm by first constructing a small subnetwork using the center bus. Then, a brute-force search is applied to the subnetwork to determine the edge set whose removal results in the islands with the minimum generation-load imbalance.…”

Section: Related Workmentioning

confidence: 99%

“…We can get the initial solution for the 30-node power system as shown in Figure 7, where the boundary nodes are {4, 6, 7, 10, 17, 19, 20, 22, 24, 25}. In this solution, the transmission lines tripped are {(6, 7), (2,6), (4,6), (17,10), (19,20), (22,24), (24,25)}. …”

Section: Initial Solutionmentioning

confidence: 99%

A Tabu Search Algorithm for the Power System Islanding Problem

Tang

Zhou

et al. 2015

Energies

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The power system islanding problem aims to divide the power system into several different islands after serious disturbances occur. The objective of this problem is to minimize the total generation-load imbalance of all islands while placing the coherent generators in the same island and maintaining the connectivity of each island. Two main challenges of solving this problem are the large scale of the power system and the requirement of a short computation time. In this study, we propose a tailored tabu search algorithm to solve this problem, which employs a novel initial solution generation procedure and a neighborhood operation based on the movement of the boundary nodes. The numerical experiments on 15 test instances show that this algorithm can deal with the power systems with up to 3120 nodes within 0.7 s. Then, the comparisons with some existing islanding methods based on the IEEE 39-bus system and the IEEE 118-bus system prove the validity and accuracy of our method. Finally, time-domain simulations based on three power systems demonstrate the importance of our tabu search algorithm in minimizing the impacts of the disastrous disturbances. The computational results imply that our tabu search algorithm is very effective and efficient and satisfies the requirements of islanding power systems of various sizes.

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Slow-Coherency-Based Controlled Islanding—A Demonstration of the Approach on the August 14, 2003 Blackout Scenario

Cited by 156 publications

References 4 publications

Distributed vs. centralized power systems frequency control

Distributed vs. centralized power systems frequency control

PMU Measurement-Based Intelligent Strategy for Power System Controlled Islanding

A Tabu Search Algorithm for the Power System Islanding Problem

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