An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency

Merabet, O.; Kheldoun, A.; Bouchahdane, M.; Eltom, A.; Kheldoun, Ahmed

doi:10.1016/j.eswa.2024.123449

Cited by 4 publications

(2 citation statements)

References 59 publications

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“…Despite these advancements, the number of available setting groups remains significantly lower than the number of potential configurations, limiting multiple-setting group-based protective schemes to a handful of topologies and operation modes. In [39], a pioneering setting-group-based scheme for protecting networked MGs employing DOCRs was introduced. This scheme ensures adequate protection across all MGs under various interconnections with the utility grid.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This scheme ensures adequate protection across all MGs under various interconnections with the utility grid. However, while [39] offers a model for categorizing MG interconnections into distinct groups and determining optimal relay settings, it falls short in accommodating diverse states of uncertainties in the protection scheme. However, these studies have yet to present a practical and comprehensive scheme for modeling uncertainties in protection settings, which could potentially impact the performance and reliability compared to traditional methods.…”

Section: Literature Reviewmentioning

confidence: 99%

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Enhancing Coordination Efficiency with Fuzzy Monte Carlo Uncertainty Analysis for Dual-Setting Directional Overcurrent Relays Amid Distributed Generation

Al-Bhadely,

İnan

2024

Sensors

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In the contemporary context of power network protection, acknowledging uncertainties in safeguarding recent power networks integrated with distributed generation (DG) is imperative to uphold the dependability, security, and efficiency of the grid amid the escalating integration of renewable energy sources and evolving operational conditions. This study delves into the optimization of relay settings within distribution networks, presenting a novel approach aimed at augmenting coordination while accounting for the dynamic presence of DG resources and the uncertainties inherent in their generation outputs and load consumption—factors previously overlooked in existing research. Departing from conventional methodologies, the study proposes a dual-setting characteristic for directional overcurrent relays (DOCRs). Initially, a meticulous modeling of a power network featuring distributed generation is undertaken, integrating Weibull probability functions for each resource to capture their probabilistic behavior. Subsequently, the second stage employs the fuzzy Monte Carlo method to address generation and consumption uncertainties. The optimization conundrum is addressed using the ant lion optimizer (ALO) algorithm in the MATLAB environment. This thorough analysis was conducted on IEEE 14-bus and IEEE 30-bus power distribution systems, showcasing a notable reduction in the total DOCR operating time compared to conventional characteristics. The proposed characteristic not only achieves resilient coordination across a spectrum of uncertainties in both distributed generation outputs and load consumption, but also strengthens the resilience of distribution networks overall.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Coordination Efficiency with Fuzzy Monte Carlo Uncertainty Analysis for Dual-Setting Directional Overcurrent Relays Amid Distributed Generation

Al-Bhadely,

İnan

2024

Sensors

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Presenting an innovative single-setting adaptive protection method for AC microgrid with wind turbine

Jahanbani,

Razavi,

Nafisi

2024

Electr Eng

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Advanced Microgrid Protection for Ground Fault Management Utilizing IEC 61131-3 Programming and Zero Sequence Components in Hardware-in-the-Loop Testing

Alasali,

El-Naily,

Mustafa

et al. 2024

Preprint

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Microgrid protection and ground fault management are critical aspects of modern power distribution systems, especially with the increasing integration of Distributed Generators (DGs) such as renewable energy sources. Effective protection schemes are essential to ensure the reliability, safety, and resilience of microgrids under various fault conditions. This study addresses a new advancement to microgrid protection and ground fault management. Firstly, the research integrates zero sequence components into the time-inverse characteristics of phase Overcurrent Relays (OCR) and create dynamic scheme between two group settings for phase and ground faults. This enhancement improves ground fault detection and provides robust backup for ground OCR, thereby enhancing the overall reliability of microgrid protection schemes. Secondly, the study demonstrates the use of Configurable Function Blocks (CFCs) in digital relays to dynamically adjust relay settings based on zero sequence current detection. This functionality optimizes relay performance under varying fault conditions, addressing mis-coordination issues in low-value ground fault scenarios at traditional OCR scheme and improving fault detection and clearance times. The proposed strategy is extensively validated through Hardware-in-the-Loop (HIL) testing, ensuring its feasibility and effectiveness in real-world scenarios. HIL testing confirms the practical applicability and robustness of the proposed protection scheme, enhancing its reliability. Finally, the study provides a comprehensive framework for the implementation of the proposed protection strategy in real-case protective relays. It includes a detailed methodology and validation process, offering practical guidance for operators to implement and optimize microgrid protection systems.

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An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency

Cited by 4 publications

References 59 publications

Enhancing Coordination Efficiency with Fuzzy Monte Carlo Uncertainty Analysis for Dual-Setting Directional Overcurrent Relays Amid Distributed Generation

Enhancing Coordination Efficiency with Fuzzy Monte Carlo Uncertainty Analysis for Dual-Setting Directional Overcurrent Relays Amid Distributed Generation

Presenting an innovative single-setting adaptive protection method for AC microgrid with wind turbine

Advanced Microgrid Protection for Ground Fault Management Utilizing IEC 61131-3 Programming and Zero Sequence Components in Hardware-in-the-Loop Testing

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