Coordination of directional overcurrent relay using evolutionary algorithm and linear programming

Sueiro, José A.; Diaz-Dorado, E.; Miguez, E.; Cidrás, J.

doi:10.1016/j.ijepes.2012.03.036

Cited by 61 publications

(25 citation statements)

References 8 publications

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“…The plug settings (PS) depend on the maximum load current and fault current due to short circuit. The main factors which control the total operating time of the relay are TDS and PS, and the fault current is represented by [15,22], where…”

Section: Problem Formulationmentioning

confidence: 99%

“…Examples of these optimization algorithms are Evolutionary Algorithm (EA) [15], Differential Evolution (DE) [16], Modified Differential Evolution (MDE) [17], Self-Adaptive Differential Evolutionary (SADE) [18], Particle Swarm Optimization (PSO) [19], Modified Particle Swarm Optimizer [20,21], Evolutionary Particle Swarm Optimization (EPSO) [22], Box-Muller Harmony Search (BMHS) [23], Zero-One Integer Programming (ZOIP) approach [24,25], Covariance Matrix Adaptation Evolution Strategy (CMA-ES) [26], Seeker Algorithm [27], Chaotic Differential Evolution Algorithm (CDEA) [28], Adaptive Differential Evolution [29], Artificial Bee Colony (ABC) [30], Firefly…”

Section: Introductionmentioning

confidence: 99%

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Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

et al. 2018

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This paper presents the solution of directional overcurrent relay (DOCR) problems using Simulated Annealing based Symbiotic Organism Search (SASOS). The objective function of the problem is to minimize the sum of the operating times of all primary relays. The DOCR problem is nonlinear and highly constrained with two types of decision variables, namely, the time dial settings (TDS) and plug setting (PS). In this paper, three models of the problem are considered, the IEEE 3-bus, 4-bus, and 6-bus, respectively. We have applied SASOS to solve the problem and the obtained results are compared with other algorithms available in the literature.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

et al. 2018

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“…The time dial setting (TDS) adjusts the time delay before the relay operates when the fault current reaches a value equal to, or greater than, the pickup current (I P ) setting [12][13][14][15]. …”

Section: Time Dial and Pickup Current Settingsmentioning

confidence: 99%

“…However a new objective function approach is presented to solve the optimization problem of coordination with the Continuous Genetic Algorithm (CGA) in [12], Evolut ionary Algorith ms (EA) is presented in [13], Seeker A lgorith m (SA) is presented in [14], and Teaching Learning-Based Optimization (TLBO) in [15].…”

Section: Introductionmentioning

confidence: 99%

Application of Firefly Algorithm for Optimal Directional Overcurrent Relays Coordination in the Presence of IFCL

Benabid¹,

Zellagui²,

Chaghi³

et al. 2014

IJISA

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-This paper considers the impact of the Inductive Fault Current Limiter (IFCL) on d irect ional overcurrent relays coordination. The coordination problem is formulated as a non-linear constrained mono-objective optimization problem. The objective function of this optimizat ion problem is the minimizat ion of the operation time of the associated relays in the systems, and the decision variab les are: the time dial setting (TDS) and the pickup current setting (I P ) of each relay. To solve this co mplex non linear optimization problem, a variant of optimization algorith ms named Firefly A lgorith m (FA) is used. The proposed method is tested on 8-bus power transmission systems test systems considering the influences of current relay under three-phases short-circuit with and without IFCL for d ifferent locality. The results show the effectiveness of the solution.

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“…In [20,21] the artificial honey bee algorithms were used to solve the coordination problem. In [22,23], a hybrid algorithm that combines LP and evolutionary algorithms was used to solve the problem. A methodology that optimizes each parameter independently, considering discrete Ip and TDS, was proposed in [24].…”

Section: Introductionmentioning

confidence: 99%

A high-performance hybrid algorithm to solve the optimal coordination of overcurrent relays in radial distribution networks considering several curve shapes

Kida

Pareja

2016

Electric Power Systems Research

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Coordination of directional overcurrent relay using evolutionary algorithm and linear programming

Cited by 61 publications

References 8 publications

Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

Application of Firefly Algorithm for Optimal Directional Overcurrent Relays Coordination in the Presence of IFCL

A high-performance hybrid algorithm to solve the optimal coordination of overcurrent relays in radial distribution networks considering several curve shapes

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