Fault detection based on ROCOV in a multi-terminal HVDC grid

Pérez-Molina, María José; Eguia, P.; Larruskain-Eskobal, M.; Etxegarai-Madina, A.; Apiñaniz, Susana

doi:10.24084/repqj18.260

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…Notably, ROCOV can be used for a variety of tasks, such as identifying electrical emergencies or IS occurrences. In HVDC systems 102 , 103 , and DC MGs 104 , this technique is frequently used for fault detection. Further, as 105 reports, ROCOV can be applied to AC MGs to detect main loss.…”

Section: Islanding Detection Methodsmentioning

confidence: 99%

Enhancing grid resiliency in distributed energy systems through a comprehensive review and comparative analysis of islanding detection methods

Kulkarni,

Mishra,

Sudabattula

et al. 2024

Sci Rep

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Reduction of fossil fuel usage, clean energy supply, and dependability are all major benefits of integrating distributed energy resources (DER) with electrical utility grid (UG). Nevertheless, there are difficulties with this integration, most notably accidental islanding that puts worker and equipment safety at risk. Islanding detection methods (IDMs) play a critical role in resolving this problem. All IDMs are thoroughly evaluated in this work, which divides them into two categories: local approaches that rely on distributed generation (DG) side monitoring and remote approaches that make use of communication infrastructure. The study offers a comparative evaluation to help choose the most efficient and applicable IDM, supporting well-informed decision-making for the safe and dependable operation of distributed energy systems within electrical distribution networks. IDMs are evaluated based on NDZ outcomes, detection duration, power quality impact, multi-DG operation, suitability, X/R ratio reliance, and efficient functioning.

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Section: Islanding Detection Methodsmentioning

confidence: 99%

Enhancing grid resiliency in distributed energy systems through a comprehensive review and comparative analysis of islanding detection methods

Kulkarni,

Mishra,

Sudabattula

et al. 2024

Sci Rep

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“…It is important to state that ROCOV can be used either to diagnose islanding or other electrical contingencies and is especially common to perform fault detection in High Voltage Direct Current (HVDC) systems [111]- [112] or in DC microgrids [113]. This scheme is also able to perform the loss of main detection in AC microgrids, as reported in [114].…”

Section: ) Rate Of Change Of Voltage (Rocov)mentioning

confidence: 99%

Anti-Islanding Techniques for Integration of Inverter-Based Distributed Energy Resources to the Electric Power System

Resende,

Simões,

Freitas

2024

IEEE Access

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The emergence of microgrids and the increasing adoption of Distributed Generation Systems (DGS) have created an opportunity to replace traditional fossil fuels with renewable resources. Such a shift poses security and power quality challenges that must be addressed by academics and industrial research paradigms. Unintentional islanding is an important security concern, as it can result in power quality degradation, electrical hazards, and equipment damage. To address this problem and find efficient solutions, many anti-islanding techniques to detect and eliminate the phenomenon can be found in the specialized literature. These solutions can be classified as passive, active, remote, hybrid, or based on machine learning and signal processing techniques. In this context, this paper provides a comprehensive review of existing antiislanding methods, highlighting their importance in preventing dangerous situations. The review includes a detailed analysis of advantages and limitations found for each method, as well as its suitability for practical applications. The goal is to provide a valuable resource for researchers and practitioners in the field of distributed power systems, enabling them to choose the most appropriate anti-islanding method for their specific needs. Overall, this paper aims to address the challenges posed by unintentional islanding and promote the adoption of renewable energy resources for a more sustainable future.

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