Fault Detection and Protection Schemes for Distributed Generation Integrated to Distribution Network: Challenges and Suggestions

Nsaif, Younis M.; Lipu, Molla Shahadat Hossain; Ayob, Afida; Yusof, Yushaizad; Hussain, Aini

doi:10.1109/access.2021.3121087

Cited by 26 publications

(8 citation statements)

References 143 publications

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“…Furthermore, it deeply explores fault detection and protection techniques employed in distributed networks alongside distributed generation. This paper uniquely contributes by offering a comprehensive understanding of diverse fault detection strategies, emphasizing the operational and communication methodologies of Distributed Generation (DG), different parameters involved, and their respective limitations Nsaif et al (2021). In Lotfi (2022) The method's effectiveness is evaluated on both a 95-node and a 136node test system.…”

Section: Related Workmentioning

confidence: 99%

Optimal placement of distributed generation in power distribution system and evaluating the losses and voltage using machine learning algorithms

Jain,

Gupta

2024

Front. Energy Res.

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As the modern power system continues to grow in size, complexity, and uncertainty, traditional methods may occasionally prove insufficient in addressing the associated challenges. The improper location of distributed generation varies the voltage profile, increases losses and compromises network capacity. Machine learning algorithms predict accurate site positions, and network reconfiguration improves the capacity of the power system. The proposed algorithm is a hybrid of machine learning and deep learning algorithms. It cascades Support Vector Machine as the main model and uses Random Forest and Radial Neural Networks as classification algorithms for accurately predicting DG position. The non-linearity characteristics of the DG problem are directly mapped to the proposed algorithms. The proposed algorithm is employed on familiar test setups like the IEEE 33-bus and 69-bus distribution systems using MATLAB R2017 as simulation software. The R-squared (R2) values for all parameters yield a value of 1, while the MAPE values are minimal for the proposed cascaded algorithm in contrast to other algorithms of LSTM, CNN, RNN and DQL.

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Section: Related Workmentioning

confidence: 99%

Optimal placement of distributed generation in power distribution system and evaluating the losses and voltage using machine learning algorithms

Jain,

Gupta

2024

Front. Energy Res.

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“…The analysis described above, in conjunction with Equations ( 9) and (10), can be applied to any type of hybrid lines. If the fault is situated in the X k−1 X k overhead section, then the distance between the fault point and the injection point can be determined as follows:…”

Section: Overhead Linementioning

confidence: 99%

“…Travelling-wave-based methods offer higher reliability and precision compared to impedance-based ones. For two-section hybrid lines, a travelling-wave-based method that considers the arrival times of various reflected fault waves on each line segment is proposed in [10]. However, detecting reflected wave signals in multisection lines is challenging.…”

Section: Introductionmentioning

confidence: 99%

Active Fault-Locating Scheme for Hybrid Distribution Line Based on Mutation of Aerial-Mode Injected Pulse

Jiang,

Zeng,

Liu

et al. 2024

Energies

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Due to the overlap of initial traveling wave signals, the traveling wave propagation process in hybrid distribution lines is complicated to analyze. The most significant challenge posed by the traditional passive traveling wave-locating method for hybrid distribution lines lies in identifying the fault section and distinguishing the reflected wave from the fault point or the hybrid connection points. Based on this approach, with the application of the aerial-mode component of the pulse signal generated at the fault point, a fault-section-identification and fault-locating scheme for hybrid distribution feeders with active pulse injection is proposed. When power in a line is cut after a single-to-line ground (SLG) fault occurs, the same pulse is injected into the three phases from the neutral point of the coupling capacitor bank to construct the zero-mode component, which propagates to the SLG fault three-phase asymmetrical point, producing an aerial-mode component that is reflected back to the first end of the line. With the application of the arrival time of an aerial-mode wavefront, it is simple to locate the SLG fault for arbitrary forms of hybrid lines. The simulation results confirm the feasibility of the fault-locating scheme under different feeders, different fault locations, and fault resistances. The results of the experiments confirm the high practical value of the proposed method.

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“…Additionally, the increasing use of diverse power electronic equipment complicates the harmonic features of the inherent residual current, posing challenges for traditional leakage protection methods that rely on amplitude, phase angle, or time-frequency characteristics of residual current [14]. Significant magnitudes of residual current can render general and intermediate protection mechanisms inoperative, particularly in TN configurations with repeated grounding, highlighting the need for innovative solutions in electrocution protection research [15,16].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Low-Voltage Distribution Network Safety through Advanced Residual Current Protection Techniques

Zhang,

Liu,

Han

et al. 2024

Applied Sciences

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Residual current protection can detect and isolate the grounding (leakage) fault of low-voltage distribution networks in time, which is an essential technical measure to reduce electric shocks and fire accidents and improve power supply safety. This paper systematically analyzes the operating characteristics of low-voltage distribution networks and proposes a distributed residual current protection method based on closed sections. It utilizes the capabilities of a distribution IoT platform to provide comprehensive measurement information for the entire substation area. A method was introduced to divide the low-voltage distribution substation into different protection closed surfaces, defining the current phasor at the external contact point of the closed surface and the remaining current of the closed surface. A calculation method for the critical current based on the remaining current of the closed surface for fault detection was proposed. Case studies have shown that this method is less affected by the inherent current and can significantly improve the sensitivity of protection. For TN-C and TN-C-S systems, in the selection of closed surfaces, the repeated grounding point of the neutral line is excluded from the closed surface. This method can also overcome the impact of residual current changes when load switching, demonstrating the flexibility of the new principle.

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Fault Detection and Protection Schemes for Distributed Generation Integrated to Distribution Network: Challenges and Suggestions

Cited by 26 publications

References 143 publications

Optimal placement of distributed generation in power distribution system and evaluating the losses and voltage using machine learning algorithms

Optimal placement of distributed generation in power distribution system and evaluating the losses and voltage using machine learning algorithms

Active Fault-Locating Scheme for Hybrid Distribution Line Based on Mutation of Aerial-Mode Injected Pulse

Enhancing Low-Voltage Distribution Network Safety through Advanced Residual Current Protection Techniques

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