A two stage fault current limiter and directional overcurrent relay optimization for adaptive protection resetting using differential evolution multi-objective algorithm in presence of distributed generation

Shih, Meng Yen; Enrı́quez, Arturo Conde; Angeles‐Camacho, César; Fernández, Erika; Leonowicz, Zbigniew; Lezama, F.; Chan, Jorge

doi:10.1016/j.epsr.2020.106844

Cited by 29 publications

(8 citation statements)

References 44 publications

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“…In [12], an optimal confguration group is proposed for each ADN OC, using a CPU to identify network changes and update the relay settings. In [13], an adaptive protection scheme based on optimising the fault current limiters (FCLs) is proposed; a CPU calculates the new relay settings in the case of a new OC and sends the new settings to relays; however, the feld implementation is not analysed. In [14], an optimal setting group is obtained for each OC, considering the protection system constraints, power quality, DERs, and FCL.…”

Section: State Of the Artmentioning

confidence: 99%

Low Computational Burden Adaptive Overcurrent Protection for Active Distribution Networks

Grisales-Soto

Pérez-Londoño

Flórez

2023

International Transactions on Electrical Energy Systems

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Conventional distribution networks have evolved into active distribution networks due to the high penetration of distributed energy resources. These new networks have several protection issues; some are related to the high fault and load current variations due to the various operating conditions. This situation is faced by adaptive protection development, as proposed in this study, where variations among active distribution network operating conditions are considered to estimate the adaptive pickup current. This is used to estimate the overcurrent relay’s time dial setting, avoiding miscoordination. The proposed protection approach uses fast calculations and local measurements; consequently, a low computational burden is required to update the adaptive relay parameters for each operating condition without using communication infrastructure. The obtained results in the IEEE 34-nodes test feeder demonstrate the advantages of the proposed approach, accomplishing the coordinating time interval for phase and ground faults. These results show a high performance of primary and backup protection at different operating conditions of the proposed test system compared to the performance of the conventional protection approach. The proposed approach’s high performance, low computational burden, and communicationless characteristics make it suitable for immediate real-field implementation.

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Section: State Of the Artmentioning

confidence: 99%

Low Computational Burden Adaptive Overcurrent Protection for Active Distribution Networks

Grisales-Soto

Pérez-Londoño

Flórez

2023

International Transactions on Electrical Energy Systems

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“…Though this process's complexity is high, a proper communication medium is needed, mainly with grid reconfigurations and MG penetration into DS. In [38,39], a two-stage optimization approach was presented, including automated online readjustment of the relay settings to match with various DS operating conditions. One way to rapidly update the relay setting is to use communication, as presented in [20,40].…”

Section: Protection Challengesmentioning

confidence: 99%

Artificial Intelligence-Based Protection for Smart Grids

et al. 2022

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Lately, adequate protection strategies need to be developed when Microgrids (MGs) are connected to smart grids to prevent undesirable tripping. Conventional relay settings need to be adapted to changes in Distributed Generator (DG) penetrations or grid reconfigurations, which is a complicated task that can be solved efficiently using Artificial Intelligence (AI)-based protection. This paper compares and validates the difference between conventional protection (overcurrent and differential) strategies and a new strategy based on Artificial Neural Networks (ANNs), which have been shown as adequate protection, especially with reconfigurable smart grids. In addition, the limitations of the conventional protections are discussed. The AI protection is employed through the communication between all Protective Devices (PDs) in the grid, and a backup strategy that employs the communication among the PDs in the same line. This paper goes a step further to validate the protection strategies based on simulations using the MATLABTM platform and experimental results using a scaled grid. The AI-based protection method gave the best solution as it can be adapted for different grids with high accuracy and faster response than conventional protection, and without the need to change the protection settings. The scaled grid was designed for the smart grid to advocate the behavior of the protection strategies experimentally for both conventional and AI-based protections.

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“…Finally, the APS reports the optimal solution of protection relay's settings and sends them through ICT and in-distribution network update IEDs. APS will stick to new changes in the distribution network [41].…”

Section: Smart Grid and Adaptive Protection Scheme (Aps)mentioning

confidence: 99%

An Adaptive Protection Scheme for Coordination of Distance and Directional Overcurrent Relays in Distribution Systems Based on a Modified School-Based Optimizer

et al. 2021

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This paper presents an adaptive protection scheme (APS) for solving the coordination problem that deals with coordination directional overcurrent relays (DOCRs) and distance relays second zone time, in relation to coordination with DOCRs. The coordination problem becomes more complex with the impact of renewable energy sources (RES) when added to the distribution grid. This leads to a change in the grid topology, caused by the on/off states of the distribution generators (DG). The frequency of topological changes in distribution grids poses a challenge to the power system’s protection components. The change in the state of DGs leads to malfunction in reliability and miscoordination between protection relays, since that causes a direct effect to the short circuit currents. This paper used the school-based optimization (SBO) algorithm, which simulates the educational process, in order to deal with coordination problems. That algorithm is modified (MSBO) by modified both learning and teaching processes. The IEEE 8-bus test system and IEEE 14-bus distribution network are used to validate the proposed coordination system’s effectiveness when dealing with the coordination process between distance and DOCRs, at both the near- and far-end in the typical topological grid and with DGs in working order.

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A two stage fault current limiter and directional overcurrent relay optimization for adaptive protection resetting using differential evolution multi-objective algorithm in presence of distributed generation

Cited by 29 publications

References 44 publications

Low Computational Burden Adaptive Overcurrent Protection for Active Distribution Networks

Low Computational Burden Adaptive Overcurrent Protection for Active Distribution Networks

Artificial Intelligence-Based Protection for Smart Grids

An Adaptive Protection Scheme for Coordination of Distance and Directional Overcurrent Relays in Distribution Systems Based on a Modified School-Based Optimizer

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