Optimum coordination of directional overcurrent relays for combined overhead/cable distribution system with linear programming technique

Khond, Sarang V.; Dhomane, G. A.

doi:10.1186/s41601-019-0124-6

Cited by 32 publications

(19 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, when an SLG fault occurs, the transient zero-sequence currents of the feeder lines adhere to the following characteristics in the selected frequency band (SFB) [29], [30].…”

Section: Analysis Of Transient Zero-sequence Currentsmentioning

confidence: 99%

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

et al. 2020

View full text Add to dashboard Cite

Fault detection in resonant grounding (RG) distribution networks remains a challenge due to weak fault signals, extremely complex fault conditions, and unstable intermittent arc grounding faults. This paper addresses this issue by applying generalized S-transform (GST) with a variable factor to conduct denoising of transient zero-sequence currents based on threshold filtering followed by time-frequency distribution filtering in sequence. Meanwhile, this paper proposes a comprehensive multi-criteria faulty feeder detection method based on the transient zero-sequence current polarity (criterion 1), the energy relative entropy (criterion 2), and the total transient current energy (criterion 3). Here, criteria 2 and 3 are based on the time-frequency representation of the GST. The performances of the proposed denoising and faulty feeder detection methods are evaluated under single line to ground faults based on simulations conducted using a modeled 10 kV RG networks with overhead and cable mixed lines in addition to reasonably sophisticated permanent and intermittent arc discharge models to ensure that the simulations faithfully represent actual complex working conditions. Compared with existing method, simulation experiments and field test show that the method proposed in this paper provide a better denoising effect with stronger self-adaptability, higher detection accuracy, and a faster calculation speed. INDEX TERMS Fault detection, resonant grounding distribution networks, generalized S-transform, variable factor, denoising method, intermittent arc grounding fault, multi-criteria.

show abstract

“…Meanwhile, when an SLG fault occurs, the transient zero-sequence currents of the feeder lines adhere to the following characteristics in the selected frequency band (SFB) [29], [30].…”

Section: Analysis Of Transient Zero-sequence Currentsmentioning

confidence: 99%

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The specific objective is to investigate the effect on fault current when installing RES in radial system and determine the new setting of the DOORs. Diverse methods have been reviewed by researchers in the past for optimal coordination of DOCRs, with distribution generation insertion in distribution system and FACTS diverse [3]. The authors in [4,5] investigate the impacts on fault current when installing distributed generation on a radial system as well as the effect of the TCSC on the inverse definite minimum time (IDMT) directional over-current relay in distribution system.…”

Section: Introductionmentioning

confidence: 99%

Effect of renewable energy sources integration on the optimal coordination of directional over-current relays in distribution system

Bougouffa¹,

Chaghi

2020

IJAPE

View full text Add to dashboard Cite

<div data-canvas-width="397.21009877040933">The demand for power electricity is growing fast and one of the main tasks for power engineers is to generate electricity from renewable energy sources (RES).</div><div data-canvas-width="277.2073926627698">Nevertheless, problems arise when the new generation is integrated in the power distribution network. Under this condition, the main purpose in this paper, an investigation of the effect of RES integration on the optimal coordination of directional over-current relays in distribution system, a dual simplex optimization algorithm has been presented to determine the coordination of directional over-current relays (DOCRs). The system used to check the efficiency of the optimization algorithm which is IEEE 33-bus models. The analysis is performed in MATLAB software environment.</div>

show abstract

“…This is achieved by removal of faulty section of the system from healthy one by implementing the properly designed protection systems. With accurate fault identification and classification methods implemented in the distribution systems an efficient, secured, effective and fast relaying operation can be provided [1][2].…”

Section: Introductionmentioning

confidence: 99%

Fault Classification Accuracy Measurement for a Distribution System with Artificial Neural Network without using Signal Processing Technique

Khond¹,

Dhomane²

2020

IJITEE

View full text Add to dashboard Cite

Faults occurring on electrical distribution network are unpredictable and needs to be cleared at the earliest so as to reduce power outage time. Hence fault detection and their classification plays important role. In this research paper the fault classification accuracy was measured for an electrical power distribution network with artificial neural network without using any signal processing method. Although many digital signal processing methods are developed to enhance electrical fault classification accuracy, it is essential to measure it for comparison when no signal processing method is used. Fault classification was considered as a pattern recognition application of neural networks. Two layer feed forward back propagation neural network was used as classifier. IEEE 13 bus distribution feeder was simulated in MATLAB with Simulink for collecting the input data. The simulation results show that the faults can be classified satisfactorily. L-G, L-L and L-L-L faults were simulated for measuring the accuracy of fault classification.

show abstract

Optimum coordination of directional overcurrent relays for combined overhead/cable distribution system with linear programming technique

Cited by 32 publications

References 16 publications

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

Effect of renewable energy sources integration on the optimal coordination of directional over-current relays in distribution system

Fault Classification Accuracy Measurement for a Distribution System with Artificial Neural Network without using Signal Processing Technique

Contact Info

Product

Resources

About