Branch outage simulation for mvar flows: bounded network solution

Özdemir, Aydoğan; Lim, Jae Yun; Singh, Chanan

doi:10.1109/tpwrs.2003.814887

Cited by 20 publications

(14 citation statements)

References 10 publications

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“…A recent model [13] used 2 fictitious sources to simulate a branch outage: Q si , Q sj as shown in Figure 2. Fictitious sources are selected in such a way that they create similar effects of an actual outage.…”

Section: Branch Outage Modelmentioning

confidence: 99%

Heuristic methods for postoutage voltage magnitude calculations

Ceylan¹,

Özdemir²,

Dağ³

2016

Turk J Elec Eng & Comp Sci

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Power systems play a significant role in every aspect of our daily lives. Hence, their continuation without any interruption (or with the least duration of interruption due to faults or scheduled maintenances) is one of the key aims of electrical energy providers. As a result, electrical energy providers need to check in great detail the integrity of their power systems by performing regular contingency studies of the equipment involved. Among others, line and transformer outage simulations constitute an integral part of an electrical management system. Both accuracy and calculation speed depend on the branch outage model and/or the solution algorithms applied. In this paper, the local constrained optimization problem of the single-branch outage problem is solved by intelligent methods: particle swarm optimization, differential evolution, and harmony search. Simulations of IEEE 14-, 30-, 118-, and 300-bus systems are computed both by intelligent methods and by AC load flow. The results of the intelligent method-based simulations and AC load flow-based simulations are compared in terms of accuracy and computation speed.

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Section: Branch Outage Modelmentioning

confidence: 99%

Heuristic methods for postoutage voltage magnitude calculations

Ceylan¹,

Özdemir²,

Dağ³

2016

Turk J Elec Eng & Comp Sci

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“…Single branch outage model introduced in [10] was selected as a starting point of modeling double branch outages. Assume that the branch between busses i and j, and the branch between busses k and l are simultaneously outaged.…”

Section: Double Branch Outage Simulationmentioning

confidence: 99%

“…Bus voltage magnitudes were initially determined solving linearized reactive power equations and they were later improved by a local optimization process. Since, the model used only limited number of network variables, it was fast enough for real time applications providing better accuracy than the traditional methods [10]. Single branch outage problem was later solved by genetic algorithms [11], by particle swarm optimization method [12], by differential evolution method and by harmony search method [13].…”

Section: Introductionmentioning

confidence: 99%

“…One recent paper solved the line outage problem using piecewise linear estimates [9]. A faster and more accurate model was developed in [10] where the line outage phenomena was simulated by inserting two fictitious sources, and post outage state calculation was formulated as a local constrained optimization problem. Bus voltage magnitudes were initially determined solving linearized reactive power equations and they were later improved by a local optimization process.…”

mentioning

confidence: 99%

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Double branch outage modeling and simulation: Bounded network approach

Ceylan

Özdemir

Dağ

2015

International Journal of Electrical Power & Energy Systems

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“…For voltage magnitudes and reactive power flows, the methods mentioned above have large computational errors because of the linearized network model implementations. One of the recent papers formulates line outage as a local constrained optimization problem in Ozdemir et al (2003) and the problem is solved by Lagrangian function approach. The optimization is formulated for a bounded network consisting sending and receiving ends of the outaged branch and their first order neighboring busses.…”

Section: Introductionmentioning

confidence: 99%