Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics

Alasali, Feras; Zarour, Eyad; Holderbaum, William; Nusair, Khaled

doi:10.1109/access.2022.3168158

Cited by 14 publications

(13 citation statements)

References 29 publications

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“…To improve the selectivity and sensitivity in the OCR coordination and avoid the NI standard curve disadvantages, an optimal coordination scheme based on nonstandard time-current characteristics is presented in refs. [25,26]. However, the nonstandard time-current characteristics are created by using the logarithmic function and constant coefficients, which lead to significantly minimizing the overall operational time on maximum fault currents, but it showed limited behavior on minimum fault currents.…”

Section: Literature Reviewmentioning

confidence: 99%

Innovative Optimal Nonstandard Tripping Protection Scheme for Radial and Meshed Microgrid Systems

Abeid

Alasali

et al. 2022

Energies

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The coordination of optimal overcurrent relays (OCRs) for modern power networks is nowadays one of the critical concerns due to the increase in the use of renewable energy sources. Modern grids connected to inverter-based distributed generations (IDGs) and synchronous distributed generations (SDGs) have a direct impact on fault currents and locations and then on the protection system. In this paper, a new optimal OCR coordination scheme has been developed based on the nonstandard time–current characteristics (NSTCC) approach. The proposed scheme can effectively minimize the impact of distributed generations (DGs) on OCR coordination by using two optimization techniques: genetic algorithm (GA) and hybrid gravitational search algorithm–sequential quadratic programming (GSA–SQP) algorithm. In addition, the proposed optimal OCR coordination scheme has successfully employed a new constraint reduction method for eliminating the considerable number of constraints in the coordination and tripping time formula by using only one variable dynamic coefficient. The proposed protection scheme has been applied in IEEE 9-bus and IEC MG systems as benchmark radial networks as well as IEEE 30-bus systems as meshed structures. The results of the proposed optimal OCR coordination scheme have been compared to standard and nonstandard characteristics reported in the literature. The results showed a significant improvement in terms of the protection system sensitivity and reliability by minimizing the operating time (OT) of OCRs and demonstrating the effectiveness of the proposed method throughout minimum and maximum fault modes.

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Section: Literature Reviewmentioning

confidence: 99%

Innovative Optimal Nonstandard Tripping Protection Scheme for Radial and Meshed Microgrid Systems

Abeid

Alasali

et al. 2022

Energies

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“…The Particle Swarm Optimization (PSO) algorithm is one of the common and efficient heuristic optimization methods for different applications. The PSO algorithm requires less memory and computational process to achieve an optimal solution [26,27]. The PSO algorithm introduced by Kennedy and Eberhart based on the general human sociality and swarming formulation of animal behavior.…”

Section: B Particle Swarm Optimizationmentioning

confidence: 99%

“…The agents will locate a better position based on the particle movement. Finally, the PSO model will assign the optimum global solution among all possible solutions offered through each iteration [26,27]. In this study, the PSO algorithm is employed to solve the OCRs coordination problem based on these advantages.…”

Section: B Particle Swarm Optimizationmentioning

confidence: 99%

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Advanced Coordination Method for Overcurrent Protection Relays Using New Hybrid and Dynamic Tripping Characteristics for Microgrid

et al. 2022

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Nowadays, the Overcurrent (OC) and Earth Fault (EF) relays coordination problem is one of the most complex and challenging concerns of power protection and network operators due to the high and volatile generation capacity of renewable energy sources in the grid. In this article, a new and dynamic optimal coordination scheme based on a novel hybrid tripping characteristic has been designed and developed for Over Current Relays (OCRs). Considering the impact of renewable energy sources such as the photovoltaic (PV) system on fault characteristic, this work presents and verifies a novel dynamic and hybrid tripping to achieve minimum tripping time and improve the OCR and EF relays coordination performance in terms of security, sensitivity, and selectivity. The proposed dynamic and hybrid scheme will help the OCRs to cover the EF events, and it has been tested under different fault scenarios compared to the literature. The IEEE-9 and IEEE-33 bus systems are implemented in the ETAP package to validate the effectiveness of the proposed hybrid characteristics against traditionally well-established IEC characteristics. Furthermore, the performance of the proposed advance and dynamic protection approach which doesn't require a communication infrastructure is investigated for a power network with PV plants under different grid operation modes and topology to provide more robustness protection system. The results, as presented using Industrial software (ETAP), showed that the novel dynamic and hybrid tripping scheme improved the speed of the total time tripping different fault scenarios and location by more than 50% and covers all EF events compared to traditional OCR schemes from the literature. The proposed novel dynamic approach has superior performance in detecting high-impedance faults and significantly reducing the tripping time on the IEEE 33 bus network by 47%.INDEX TERMS Over current relays, Earth fault relay, Dynamic coordination scheme, Renewable energy sources, PV.

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“…Other experts believe that micro grid is a medium and low voltage grid, which combines various small distributed power sources and energy storage to provide power for local consumers. This is the main working mode of distributed power supply in the future [5][6]. Therefore, this paper will start with the particle swarm optimization algorithm to improve the efficiency of the system.…”

Section: Introductionmentioning

confidence: 99%

Distributed Energy Storage Scheduling Optimization of Micro Grid Based on Particle Swarm Optimization Algorithm

Liu¹

2023

E3S Web Conf.

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Distributed generation is a new type of environment-friendly energy, which has a good development prospect. However, due to its inherent defects, it is still difficult to be widely used in large-scale access points and loads. As a new type of distributed power supply, Micro grid is decentralized and intermittent in power supply. In order to make rational use of power grid resources, it is necessary to optimize the distributed energy storage scheduling. The particle swarm optimization algorithm proposed in this paper is also to improve the data processing capacity of the scheduling system. This paper mainly uses the experimental comparison method and particle swarm optimization algorithm to study the micro grid distributed energy storage scheduling optimization. The experimental results show that the FCPSO algorithm takes the least time, only 7s, and has the lowest cost. Therefore, this algorithm can be used for in-depth analysis of micro grid scheduling.

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Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics

Cited by 14 publications

References 29 publications

Innovative Optimal Nonstandard Tripping Protection Scheme for Radial and Meshed Microgrid Systems

Innovative Optimal Nonstandard Tripping Protection Scheme for Radial and Meshed Microgrid Systems

Advanced Coordination Method for Overcurrent Protection Relays Using New Hybrid and Dynamic Tripping Characteristics for Microgrid

Distributed Energy Storage Scheduling Optimization of Micro Grid Based on Particle Swarm Optimization Algorithm

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