Kalman Filter on Power Electronics and Power Systems Applications

Marafão, Fernando Pinhabel; Colón, Diego; Padua, M.S.; Deckmann, S.M.

doi:10.5772/6815

Cited by 2 publications

(1 citation statement)

References 49 publications

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“…It considers a joint probability distribution across the variables for each time frame and is used to generate accurate estimates of a system's state [210]. Due to its reliable signal estimation, even under well distorted data, it can be used for frequency measurements, harmonic decomposition, power quality monitoring, power conditioners control and synchronization, or to perform islanding detection [211].…”

Section: ) Kalman Filtermentioning

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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Section: ) Kalman Filtermentioning

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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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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Kalman Filter on Power Electronics and Power Systems Applications

Cited by 2 publications

References 49 publications

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

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

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

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