Compensated fault impedance estimation for distance-based protection in active distribution networks

García-Ceballos, C.; Pérez-Londoño, Sandra; Flórez, Juan José Mora

doi:10.1016/j.ijepes.2023.109114

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…The impedance method can also be extended to more complex distribution networks by establishing a node impedance matrix, but this involves more calculations. However, traditional impedance methods in Reference [11] did not account for the asymmetric operation state of the distribution network or the time-varying conditions of branch lines and loads. To address these limitations, Reference [12] proposed algorithms and equivalent methods for large distribution networks that considered branch lines and load.…”

Section: Status Of the Studymentioning

confidence: 99%

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Zhao,

Lu,

Chen

et al. 2024

Electronics

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The distribution network is a crucial component of the power system as it directly connects to users and serves the purpose of distributing power and balancing the load. With the integration of new energy sources through distributed generation (DG), the distribution network has undergone a transformation from a single power radial network into a complex multi-source network. Consequently, traditional fault location methods have proven inadequate in this new network structure. Therefore, the focus of this paper is to investigate fault location techniques specifically tailored for DG integration into distribution networks. This paper analyzes how fault conditions impact the characteristics of single-phase grounding faults and extracts spectral feature quantities to describe differences in zero-sequence currents under various fault distances. This paper also proposes a fault location method based on centroid frequency and a BPNN (back propagation neural network). The method uses centroid frequency to describe the features of zero-sequence currents; to simulate the mapping relationship between fault conditions and spectral features, BPNN is employed. The mapping relationship differs for different lines and distribution networks. When a line faults, the spectral features are calculated, along with the transition resistance and fault closing angle. The corresponding mapping relationship is then called upon to complete distance measurements. This location method can be applied to various types of distribution lines and fault conditions with high accuracy. Even with insufficient training samples, sample expansion can ensure accuracy in fault distance measurement. We built a distribution network consisting of four feeders with different types and lengths of each line on Simulink and verified the effectiveness of the proposed method by setting different fault conditions. The results suggest that the method has a clear advantage over other frequency domain-based approaches, especially for hybrid lines and feeder lines with branches in distribution networks. Additionally, the method achieves a measurement accuracy within a range of 100 m.

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Section: Status Of the Studymentioning

confidence: 99%

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Zhao,

Lu,

Chen

et al. 2024

Electronics

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“…[11][12] conducted research on the impact of new energy integration on distance protection phase selection elements, and provided basic conclusions that traditional current sudden variable phase selection elements are difficult to apply. [13] proposes a new method for current sudden variable phase selection based on the background of crowbar protection action after a fault, but this method is not applicable when the crowbar protection does not operate.…”

Section: Introductionmentioning

confidence: 99%

Research on the impact of large-scale renewable energy power generation on relay protection

Xu,

Ao,

Yan

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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The integration of large-scale distributed renewable energy into the power system will bring new challenges to the relay protection of the power system, which is a key issue in the transformation of new power systems. This article analyses the impact of renewable energy on relay protection, focusing on the construction goals and current situation of the new power system, and analyses the influencing factors on protection from four aspects: power generation, transmission, distribution, and energy storage. On this basis, a typical case of on-site protection malfunction is introduced and analysed, and the protective measures for renewable energy access is delivered.

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Fault current limitation approaches for grid-following controlled DERs in microgrid environments

García-Ceballos,

Pérez-Londoño,

Mora-Flórez

2024

Ain Shams Engineering Journal

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Compensated fault impedance estimation for distance-based protection in active distribution networks

Cited by 7 publications

References 18 publications

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Application of a Centroid Frequency-Based Back Propagation Neural Network Fault Location Method for a Distribution Network Considering Renewable Energy Assessment

Research on the impact of large-scale renewable energy power generation on relay protection

Fault current limitation approaches for grid-following controlled DERs in microgrid environments

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