Enhanced differential evolution algorithm for coordination of directional overcurrent relays

Shih, Meng Yen; Enrı́quez, Arturo Conde; Hsiao, Tesheng; Torres-Treviño, Luis M.

doi:10.1016/j.epsr.2016.09.011

Cited by 56 publications

(31 citation statements)

References 51 publications

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“…Analysis criteria are1-) in addition to maintaining selectivity, the value of suitability for minimizing the working time of primer and back-up relays, 2-) the number of violations of coordination constraints and 3-) the standard deviation of the process time. Developed DE gives the best results in terms of execution time, result quality, robustness and convergence ability compared to others analyzed in this study [13]. The DE algorithm was previously compared with the application results of the teaching learning-based optimization (TLBO) algorithm to provide optimal coordination of DOCR [25].…”

Section: A Ocr Coordinationmentioning

confidence: 97%

Trends in Power System Protection Researches: A Review of Fundamental Relays

Onat

2018

Balkan Journal of Electrical and Computer Engineering

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Power system protection is one of the main element of modern energy management concept. The main task of these systems is to deactivate the faulty element or network part as soon as possible. The protection relays, called intelligent electronic devices, also have different functions than these basic functions. However, overcurrent, distance and differential protection are still used as the three basic components. In this study, current studies on these relays for coordination of the protection system have been analyzed. The research topic is limited to the main functions of the relays. Further study will examine the tasks that these relays have in providing data to the energy management system. It can also focus on the concept of wide area protection, event recording and modern communication protocols.

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Section: A Ocr Coordinationmentioning

confidence: 97%

Trends in Power System Protection Researches: A Review of Fundamental Relays

Onat

2018

Balkan Journal of Electrical and Computer Engineering

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“…In [7] a local-fit method was proposed by defining reference marks based on the OCR's characteristics. 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.…”

Section: Introductionmentioning

confidence: 99%

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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“…Application of metaheuristic algorithms on power system protection and particularly, DOCR coordination in distribution networks has been introduced in literature such as PSO [3,16], Harmony Search Algorithm (HSA) [17], Cuckoo Algorithm [18], chaotic firefly algorithm [19], differential evolution [20] and so on.…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization Solution for Power System Operation Problems

Kheshti¹,

Ding²

2018

Particle Swarm Optimization With Applications

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Application of particle swarm optimization (PSO) algorithm on power system operation is studied in this chapter. Relay protection coordination in distribution networks and economic dispatch of generators in the grid are defined as two of power system-related optimization problems where they are solved using PSO. Two case study systems are conducted. The first case study system investigates applicability of PSO on providing proper overcurrent relay settings in the grid, while in the second case study system, the economic dispatch of a 15-unit system is solved where PSO successfully provides the optimum power output of generators with minimum fuel costs to satisfy the load demands and operation constraints. The simulation results in comparison with other methods show the effectiveness of PSO against other algorithms with higher quality of solution and less fuel costs on the same test system.

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Enhanced differential evolution algorithm for coordination of directional overcurrent relays

Cited by 56 publications

References 51 publications

Trends in Power System Protection Researches: A Review of Fundamental Relays

Trends in Power System Protection Researches: A Review of Fundamental Relays

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

Particle Swarm Optimization Solution for Power System Operation Problems

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