Optimal overcurrent relay coordination using artificial bees colony algorithm

Uthitsunthorn, Dusit; Pao-la-or, Padej; Kulworawanichpong, Thanatchai

doi:10.1109/ecticon.2011.5947986

Cited by 33 publications

(21 citation statements)

References 4 publications

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“…The counter k is increased (k ← 2) and the coordination is held for 1512.5 A (Icc 2 4 ), for the same pair of OCRs. The T aux and TDS aux are computed as shown in (21) and (22). …”

Section: Step 2 -Coordination Between R 2 and Rmentioning

confidence: 99%

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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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“…The counter k is increased (k ← 2) and the coordination is held for 1512.5 A (Icc 2 4 ), for the same pair of OCRs. The T aux and TDS aux are computed as shown in (21) and (22). …”

Section: Step 2 -Coordination Between R 2 and Rmentioning

confidence: 99%

“…In [18,19] the problem was solved using particle swarm algorithm. 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.…”

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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“…In the research of [20], five different versions of the Modified Differential Evolution Algorithm (MDE) were proposed to solve the coordination problem in order to figure out the best performance of the MDE with respect to other algorithms. The artificial bee colony technique was utilized in research by [21]. In [22], a hybrid evolutionary algorithm based on tabu search was used for optimum relay coordination.…”

Section: Introductionmentioning

confidence: 99%

Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method

et al. 2018

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Abstract:In an electrical power system, the coordination of the overcurrent relays plays an important role in protecting the electrical system by providing primary as well as backup protection. To reduce power outages, the coordination between these relays should be kept at the optimum value to minimize the total operating time and ensure that the least damage occurs under fault conditions. It is also imperative to ensure that the relay setting does not create an unintentional operation and consecutive sympathy trips. In a power system protection coordination problem, the objective function to be optimized is the sum of the total operating time of all main relays. In this paper, the coordination of overcurrent relays in a ring fed distribution system is formulated as an optimization problem. Coordination is performed using proposed continuous particle swarm optimization. In order to enhance and improve the quality of this solution a local search algorithm (LSA) is implanted into the original particle swarm algorithm (PSO) and, in addition to the constraints, these are amalgamated into the fitness function via the penalty method. The results achieved from the continuous particle swarm optimization algorithm (CPSO) are compared with other evolutionary optimization algorithms (EA) and this comparison showed that the proposed scheme is competent in dealing with the relevant problems. From further analyzing the obtained results, it was found that the continuous particle swarm approach provides the most globally optimum solution.

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“…A number of the artificial intelligence methods for instance fuzzy logic [11], expert systems [12], and genetic algorithm [7,[13][14][15][16] were employed positively in minimizing the operation time of relays to achieve optimal relays coordination. Among the other optimization soft techniques that are ultimately based on evolutionary processes, a particle swarm optimization [17][18][19], a harmony search algorithm [20], a honey bee algorithm [21], an artificial bee colony [22], a seeker algorithm [23], a differential evolution [24], and a teaching-learning-based optimization [25] have been introduced to calculate the optimal relay settings. The reader would be referred to [26] for recent comprehensive survey about the optimal relay coordination.…”

Section: Introductionmentioning

confidence: 99%

Optimal directional digital overcurrent relays coordination and arc-flash hazard assessments in meshed networks

El‐Fergany

2015

Int. Trans. Electr. Energ. Syst.

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Summary The article addresses the arc‐flash hazard assessments combining the optimal coordination of digital overcurrent relays. A novel objective function is adopted to concurrently reduce the arc‐flash hazards while adapting the optimal settings of directional overcurrent relays subjects to set of coordination constraints. The flower pollination algorithm (FPA) is applied to attain the target. The proposed FPA‐based technique is employed to define three main parameters for the relay settings. The performance and value of the proposed FPA‐based methodology are demonstrated on the 8‐bus and 15‐bus meshed networks with various fault scenarios. Comparisons with the other competitive algorithms and subsequent discussions validate its good performance. Efficacious attributes of the novel objective function are compared and highlighted over the traditional objective function commonly used by the other researchers reported in the literature. Copyright © 2015 John Wiley & Sons, Ltd.

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Optimal overcurrent relay coordination using artificial bees colony algorithm

Cited by 33 publications

References 4 publications

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

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

Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method

Optimal directional digital overcurrent relays coordination and arc-flash hazard assessments in meshed networks

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