Interconnection issues for distributed resources in a smart distribution system

Thomas, Mini S.; Terang, Parveen Poon

doi:10.1109/iicpe.2012.6450446

Cited by 7 publications

(2 citation statements)

References 27 publications

(26 reference statements)

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“…one of the benefits of using DG is its close proximity to consumer's load. Distributed generation is critical for enhancing grid dependability, lowering transmission line losses, offering better voltage stability, and enhancing power quality [3].…”

Section: Introductionmentioning

confidence: 99%

Fault Classification in a DG Connected Power System using Artificial Neural Network

Bhuyan

Panigrahi

Pati

2022

IJEEI

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Distributed generation is playing a major role in the power system to meet the growing load demand. Integration of Distributed Generator (DG) to grid leads to various issues of protection and control of power system structure. From the different fault issues that occur in a distributed generator integrated power system, classification of fault remains as one of the most vital issues even after years of in-depth research. Because researchers are attempting to detect and diagnose these faults as soon as possible in order to avoid financial losses, this work aims to investigate the sort of fault that happened in the hybrid system. This paper proposed artificial neural network-based approaches for fault disturbances in a microgrid made up of wind turbine generators, fuel cells and diesel generator. The voltage signal is retrieved at the point of common coupling (PCC). The extracted data are used for training and testing purposes. Artificial neural network technique is utilized for the classification of faults in the simulated model. Furthermore, performance indices (PIs) such as standard deviation and skewness are calculated for reduction of data size and better accuracy. Both the fault and parameters are varied to check the usefulness of the proposed method. Finally, the results are discussed and compared with different DG penetration.

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Section: Introductionmentioning

confidence: 99%

Fault Classification in a DG Connected Power System using Artificial Neural Network

Bhuyan

Panigrahi

Pati

2022

IJEEI

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“…Since there are various converter devices, the task lies in selecting the right power converter with the apt control scheme. Usefulness of DER's can be increased with the use of power electronic PE interfaces to integrate DER's to the grid [10]. A layout of a general scheme a fuel cell tied to the grid is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Impacts of interconnection of SOFC to a radial distribution system

Thomas

Terang

2014

2014 6th IEEE Power India International Conference (PIICON)

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Due to the varied advantages like cleanliness, portability and suitability for electricity and heat generation the popularity of the fuel cell systems has been accentuated and much research is being done to diminish their drawbacks when used as distributed resources. This paper presents the modeling of a solid oxide fuel cell (SOFC) and a dc-ac inverter interfaced to a radial distribution system. The interconnecting link between the SOFC and grid is a PWM inverter.Simulation results show a difference in the total harmonic distortion at both the PCC and feeder loads when different controllers are used. It is observed that the PI controller gives improved harmonics due to better instantaneous current control, wave-shaping and fixed inverter switching frequency.

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