Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

Wadood, Abdul; Khurshaid, Tahir; Farkoush, Saeid Gholami; Yu, Jiaqi; Kim, Chang-Hwan; Rhee, Sang-Bong

doi:10.3390/en12122297

Cited by 28 publications

(24 citation statements)

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“…CTI r is a coordination time interval that is determined according to the specified time delays of both OCRs and the operating times of the switch gears. The pickup-current settings and the time-dial settings of all the OCRs can be determined in different ways [4]- [17]. The classic approach is formulated as a minimization of an objective function that is given as a sum of the operating times of all the primary and back-up OCRs, i.e.,…”

Section: Timing Coordinationmentioning

confidence: 99%

“…The selectivity of overcurrent relays (OCRs) is achieved by the timing coordination of their operation. This can be performed using different optimization approaches [4]- [17]. In [4] an interval linear programming problem was formulated, considering changes in the network topologies.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, several metaheuristic algorithms were applied, like enhanced differential evolution [8], a combination of the differential evolution and linear programming problem [9], a genetic algorithm [10], a combination of the genetic algorithm and the linear programming problem [11], or a combination of a specialized genetic algorithm and an efficient heuristic algorithm [12]. Moreover, a symbiotic organism search algorithm [13], teaching learningbased optimization [14], particle-swarm optimization [15], ant-colony optimization [16], and whale optimization algorithm [17] were also applied. Lately, distributed generation (DG) was also considered within the timing coordination of the OCR's operation [18]- [21].…”

Section: Introductionmentioning

confidence: 99%

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Protection of MV Closed-Loop Distribution Networks With Bi-Directional Overcurrent Relays and GOOSE Communications

et al. 2019

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This paper proposes measures to improve the protection of MV distribution networks operating with feeders in a closed-loop arrangement. Bi-directional overcurrent relays (OCRs) are discussed, the selectivity of which is achieved through the timing coordination of their operation. The classic approach is formulated as a minimization of the operating times of all the OCRs. The proposed approach enhances the selectivity by considering the maximum operating time of substation OCRs and the unwanted trips of in-loop OCRs. Moreover, the sensitivity is also increased by introducing an objective function that minimizes the pickup-current settings of all the OCRs together with their operating times. Furthermore, to fulfill the demanding requirements for operating times, variable penalties are introduced. Thus, the optimization procedure is forced towards the region with viable solutions for the optimization problem. Two variants of self-adaptive differential evolution have been used that both show better convergence when compared to the classic differential evolution. Moreover, ten mutation strategies were tested, where ''rand/1/bin'' showed the best results. A comparison with other methods for timing coordination shows that the proposed optimization results in a comparable value for the OCRs' operating times. In order to further reduce the operating times, GOOSE communications between the OCRs are adopted. The proposed measures for improved protection operation are fully confirmed through dynamic simulations of the faults in the discussed 20-kV network. Moreover, the proposed protection design is already implemented and permanently operates in a 20-kV network with more than 5000 customers, whereas the field results show selective and reliable protection operation.

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Section: Timing Coordinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Protection of MV Closed-Loop Distribution Networks With Bi-Directional Overcurrent Relays and GOOSE Communications

et al. 2019

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“…Recently, scholars and researchers have used different types of optimization methodologies are not only limited to OCR coordination problem but also have signi cant application in di erent elds [11][12][13]. In [14], whale optimization algorithms were introduced to relay coordination problem. In [15], a re y algorithm (FA) was used to analyse directional overcurrent relay (DOCR).…”

Section: Introductionmentioning

confidence: 99%

Application of the JAYA Algorithm in Solving the Problem of the Optimal Coordination of Overcurrent Relays in Single‐ and Multi‐Loop Distribution Systems

et al. 2019

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To ensure a safe and trustworthy pattern in contradiction to the possible faults, a precise, reliable, and fast relaying strategy is of high importance in an electrical power system. These challenges give the impression of being more refined in multi-loop distribution systems. More recently, overcurrent relays (OCRs) have evolved as proficient counteragents for such cases. In this way, inaugurating an optimal protection coordination strategy is accepted as the primary precondition in guaranteeing the safe protection of the coordination strategy. This study is aimed at lessening the overall operational time of the main relays in order to reduce the power outages. The coordination problem is conducted by adjusting only one parameter, namely the time multiplier setting (TMS). In electrical power relaying coordination, the objective function to be minimized is the sum of the overall operational time of the main relays. In the prescribed work, the coordination of the OCRs in the single- and multi-loop distribution network is realized as an optimization issue. The optimization is accomplished by means of JAYA algorithm. The suggested technique depends on the idea that the result acquired for a certain issue ought to pass near the finest result and avert the worst result. This technique involves only the common control factors and does not involve specific control factors. JAYA is adopted to OCR problem and run 20 times with the same initial condition for each case study, and it has been realized that for every run, the JAYA algorithm converges to the global optimum values requiring less number of iterations and computational time. The results obtained from JAYA algorithm are compared with other evolutionary and up-to-date algorithms, and it was determined that JAYA outperforms the other techniques.

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“…However, and unlike the PSO, it does not pay much attention to the cooperative behavior of all groups. Many other algorithms have also been incorporated in solving the DOC relays coordination problem, such as the Gravitational Search Algorithm [29], Biogeography-based Energies 2019, 12, 4115 3 of 16 optimization [8], Electromagnetic Field Optimization [30], Firefly algorithm [31] and the Whale Optimization Algorithm [32].…”

Section: Introductionmentioning

confidence: 99%

Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm

Abdelsalam

Diab

2019

Energies

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Distributed, generation-based micro-grids are increasingly being used in the build-up of the modern power system. However, the protection of these micro-grids has many challenges. One of the important challenges is the coordination of directional overcurrent (DOC) relays. The optimization of the coordination of DOC relays is considered a nonlinear programming problem with pre-defined constrains. In this paper, the problem of the optimal coordination of DOC relays is solved using a multi-verse optimization (MVO) algorithm which is inspired from cosmology science. The proposed algorithm is tested by applying it to Institute of Electrical and Electronics Engineers (IEEE) 3 bus and IEEE 9 bus networks. The performance of the proposed algorithm is compared with the particle swarm optimization (PSO) algorithm when applied to both networks. All results show that the performance of the MVO algorithm is better than PSO in terms of its reduction of both the overall operating time (OT) of DOC relays and the computational burden of the computer solving the optimization problem.

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Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

Cited by 28 publications

References 50 publications

Protection of MV Closed-Loop Distribution Networks With Bi-Directional Overcurrent Relays and GOOSE Communications

Protection of MV Closed-Loop Distribution Networks With Bi-Directional Overcurrent Relays and GOOSE Communications

Application of the JAYA Algorithm in Solving the Problem of the Optimal Coordination of Overcurrent Relays in Single‐ and Multi‐Loop Distribution Systems

Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm

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