Algebraic-graph method for identification of islanding in power system grids

Theodoro, Edson Aparecido Rozas; Benedito, Raphael Augusto de Souza; London, João Bosco Augusto; Alberto, Luís

doi:10.1016/j.ijepes.2011.10.010

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…The algorithm continues through all working lines. Theodoro et al [24] gives an alternate method of island identification, based on algebraic-graph methods.…”

Section: Network Connectivitymentioning

confidence: 99%

Efficient simulation of blackout probabilities using splitting

Shortle

2013

International Journal of Electrical Power & Energy Systems

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“…The algorithm continues through all working lines. Theodoro et al [24] gives an alternate method of island identification, based on algebraic-graph methods.…”

Section: Network Connectivitymentioning

confidence: 99%

Efficient simulation of blackout probabilities using splitting

Shortle

2013

International Journal of Electrical Power & Energy Systems

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“…According to this figure, if Shane 29 is not in the range, discontinuity between bus 30 and bus 45 causes this choice to be removed from the optimization process and the PSO algorithm looks for a new particle and range. Considering any range, a bus matrix is created in which, if discontinuity is observed in two items of the series i S , the island is diagnosed as undesirable [21]. …”

Section: Second Conditionmentioning

confidence: 99%

Optimal determination of island boundaries besides the optimal placement of D-STATCOM devices and DG units

Rabie¹,

Afrakhte²

2017

Turk J Elec Eng & Comp Sci

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Abstract:In this study, integration of three important concepts of distributed generation, D-FACTS devices, and microgrids are evaluated. The performance of a microgrid is dependent on its location, capacity, and placement of DG units and D-FACTS devices. In this paper a new method is proposed to simultaneously determine the optimal number, location, and capacity of DG units and D-STATCOM devices and optimal boundaries of electrical islands in the independent mode of microgrids. The main objective is to minimize the economic costs. The optimal locations of DG units and D-STATCOM devices should be determined to maximize the DG capacities with minimum loss in the best voltage profile and in the grid-connected mode of microgrids. Moreover, this locating besides simultaneous determination of island boundaries makes it possible to supply the maximum load in the islanded mode operation. To meet the mentioned goals, the PSO algorithm and MATLAB software are used. Analyzing the obtained results shows that the proposed method has suitable capability in optimal operation and cost management of distribution network planning.

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“…Several algorithms have been developed for the identification and splitting of power systems to stabilize islands. Few examples include the identification method based on the search mechanism [15], comprehensive learning particle swarm optimization (CLPSO) algorithm [17], ordered binary decision diagram (OBDD) based algorithm [18], ANN based method [19], two stage stochastic method [20], mixed integer linear programming (MILP) method [21], angle modulated particle swarm optimization (AMPSO) and slow coherency based method [22], algebraic graph based algorithm [23], proper sizing and DG placement based algorithm [24], Line Utility Grid outage contingency based algorithm [25], Optimal intentional islanding based on fast greedy algorithm and bloom algorithm [16]. After the islanding identification and splitting, system parameters such as frequency and voltage should remain within the prescribed limits.…”

Section: Unintentional and Intentional Islanding à Causes Effects Anmentioning

confidence: 99%