Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm

Sulaiman, Muhammad; Waseem,; Muhammad, Shakoor; Khan, Akhtar Naeem

doi:10.1155/2018/7039790

Cited by 30 publications

(16 citation statements)

References 19 publications

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“…In the DOCRs coordination problem, the coordination constraints and the characteristic constraints are included in the objective function using the penalty method, as shown in equation (11). If any constraint is violated, a value of penalty is added to the objective function.…”

Section: Constraint Handlingmentioning

confidence: 99%

“…Teaching learning-based optimization (TLBO) and modified adaptive TLBO (MATLBO) were used in [9,10]. Firefly algorithm (FA), chaotic firefly algorithm (CFA), and modified swarm firefly algorithm (MSFA) were used in [11][12][13]. Biogeography-based optimization (BBO) along with a new hybrid BBO with linear programming (BBO-LP) was used in [14].…”

Section: Introductionmentioning

confidence: 99%

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The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

Kim

2020

Complexity

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In this paper, a lately proposed Harris Hawks Optimizer (HHO) is used to solve the directional overcurrent relays (DOCRs) coordination problem. To the best of the authors’ knowledge, this is the first time HHO is being used in the DOCRs coordination problem. The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks from different directions, based on the dynamic nature of scenarios and escaping patterns of the prey. To test its performances in solving the DOCRs coordination problem, it is adopted in 3-bus, 4-bus, 8-bus, and 9-bus systems, which are formulated by three kinds of optimization models as linear programming (LP), nonlinear programming (NLP), and mixed integer nonlinear programming (MINLP), according to the nature of the design variables. Meanwhile, another lately proposed optimization algorithm named Jaya is also adopted to solve the same problem, and the results are compared with HHO in aspects of objective function value, convergence rate, robustness, and computation efficiency. The comparisons show that the robustness and consistency of HHO is relatively better than Jaya, while Jaya provides faster convergence rate with less CPU time and occasionally more competitive objective function value than HHO.

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Section: Constraint Handlingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

Kim

2020

Complexity

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“…PPA is chosen to solve the above-mentioned problem of DOCRs. PPA was earlier implemented to design engineering problems such as gearshift problem, spring design problem and welded beam problem [14][15][16][17][18][19][20][21][22][23][24]. These problems are related to design engineering and the results obtained by PPA were good as compared to other state-of-the-art.…”

Section: Suggested Algorithmmentioning

confidence: 99%

“…In this paper, we have successfully implemented PPA [14][15][16][17][18][19][20][21][22][23][24], for the solution of standard IEEE (3, 4, and 6 bus) test systems. The two types of decision variables were PS and TDS and the sum of operating times taken by all main relays which were needed to operate for clarity of fault(s) in their respective sections.…”

Section: Introductionmentioning

confidence: 99%

The Plant Propagation Algorithm for the Optimal Operation of Directional Over-Current Relays in Electrical Engineering

Sulaiman

Sulaman

Hamdi

et al. 2020

Mehran Univ. res. j. eng. technol.

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In modern and large scale power distribution topologies, directional relays play an important role in the operation of an electrical system. These relays must be coordinated optimally so that their overall operating time is reduced to a minimum. They are sensor protection devices for the power systems and must be coordinated properly. The present work uses a metaheuristic optimization technique known as the Plant Propagation Algorithm (PPA) in order to suggest improved solutions for the optimization problem of coordination of directional overcurrent relays (DOCRs). We have obtained comparatively better solutions for the overall operating times taken by relays fitted on important positions in the system. Our findings are useful in isolating the faulty lines efficiently and in keeping the continuity of power supply. The difference in response times taken in coordination between primary relays and corresponding backup relays is minimized. The output of our experiments is compared with various algorithms and classical optimization techniques, which are found in the literature. Moreover, graphical analyses are presented for each problem to further clarify the results.

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“…In the paper by [27], the hybridized symbiotic organism search method is used to deal with the directional overcurrent relay problem. The authors found the optimal coordination of directional overcurrent relays by using a firefly algorithm [28]. In the paper by [29], distributed system protection coordination is investigated based on directional overcurrent protection with an inverse time characteristic.…”

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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Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm

Cited by 30 publications

References 19 publications

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

The Plant Propagation Algorithm for the Optimal Operation of Directional Over-Current Relays in Electrical Engineering

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

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