Optimal coordination of overcurrent relays using Honey Bee algorithm

Rashtchi, Vahid; Gholinezhad, Javad; Farhang, Peyman

doi:10.1109/icumt.2010.5676606

Cited by 27 publications

(22 citation statements)

References 7 publications

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“…For relays coordination, mostly CTI considered between 200ms and 500 ms [13,14] which in this paper considered 200 ms. relay setting for two state of connected and islanding showed in Table 1 …”

Section: Relays Coordination Processmentioning

confidence: 99%

Reducing over-current relays operating times in adaptive protection of distribution networks considering dg penetration

Farsadi

Nejadi

Esmaeilynasab

2015

2015 9th International Conference on Electrical and Electronics Engineering (ELECO)

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The interest on distributed generations in smart distribution systems changed them to the integral part of the distribution networks. However, hosting of the distributed generation cause some problems for the distribution network protection system including performance delaying of traditional protection systems in case of islanding conditions which is because of the decreasing the sensed currents by the relays and false trip of the relays because of missing distributed generations. In this paper, due to overcome on these problems by using of adaptive relays, a protection scheme based on local data and offline calculation will be proposed which will help relays to adapt themselves with new situations and change their settings automatically and cause better performance in fault situations. In addition, these relays have the ability of fault detection and subsequently update their settings in both retrieval-islanded part by the distributed generations and the part, which are connected to the network. This protection scheme added to a test system and then the results comprised with the traditional scheme.

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Section: Relays Coordination Processmentioning

confidence: 99%

Reducing over-current relays operating times in adaptive protection of distribution networks considering dg penetration

Farsadi

Nejadi

Esmaeilynasab

2015

2015 9th International Conference on Electrical and Electronics Engineering (ELECO)

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“…Recently, more intelligent methods are utilized for relay coordination problems. These innovations were focused on observations of animal social behaviour, nature such as bird flocking, fish schooling, hydrological cycle, the creative process of music composition, human memory behaviour, Darwinian evolution concepts, and swarm theory [20,21].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal directional overcurrent relay coordination based on computational intelligence technique: a review

Ramli¹,

Usama²,

Mokhlis³

et al. 2021

Turkish Journal of Electrical Engineering and Computer Sciences

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An exponential increase in diverse load demand in the last decade has influenced the integration of more power plants into the power system. This increases the fault current due to the bidirectional flow of current, resulting in unwanted tripping of the relays if not properly coordinated. Therefore, it is imperative to ensure the installation of relays in the grid being able to sense the fault current from any direction (i.e. upstream or downstream). This can be accomplished by introducing an optimal directional overcurrent relay (DOCR) coordination scheme into the system. This paper presents an in-depth review of the applications of various optimization techniques for optimal coordination of directional overcurrent relays (DOCRs) in integrated power networks. The review highlights the advantages and limitations of techniques implemented to mitigate the DOCR coordination issues. Furthermore, potential research directions for optimal DOCR coordination are also discussed in this paper.

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“…Some evolutionary optimization algorithms like GA, ICA, honey bee algorithm [10]- [11] are presented for optimization of complicated fitness functions.…”

Section: Pso Algorithm Proceduresmentioning

confidence: 99%

Using of Particle Swarm Optimization for Loss Minimization of Vector-controlled Induction Motors

Rashtchi¹,

Bizhani²

2015

ujeee

Self Cite

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This paper presents a new online loss minimization for an induction motor drive. Among the many loss minimization algorithms (LMAs) for an induction motor, a particle swarm optimization (PSO) has the advantages of fast response and high accuracy. However, the performance of the PSO and other optimization algorithms depend on the accuracy of the modeling of the motor drive and losses. In the development of the loss model, there is always a tradeoff between accuracy and complexity. This paper presents a new online optimization to determine an optimum flux level for the efficiency optimization of the vector-controlled induction motor drive. An induction motor (IM) model in d-q coordinates is referenced to the rotor magnetizing current. This transformation results in no leakage inductance on the rotor side, thus the decomposition into d-q components in the steady-state motor model can be utilized in deriving the motor loss model. The suggested algorithm is simple for implementation.

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Optimal coordination of overcurrent relays using Honey Bee algorithm

Cited by 27 publications

References 7 publications

Reducing over-current relays operating times in adaptive protection of distribution networks considering dg penetration

Reducing over-current relays operating times in adaptive protection of distribution networks considering dg penetration

Optimal directional overcurrent relay coordination based on computational intelligence technique: a review

Using of Particle Swarm Optimization for Loss Minimization of Vector-controlled Induction Motors

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