Design, Modeling and Implementation of Multi-Function Protective Relay with Digital Logic Algorithm

Rahebi, Javad

doi:10.31590/ejosat.738337

Cited by 7 publications

(3 citation statements)

References 8 publications

(8 reference statements)

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“…In 2020, Rahebi et al [15] designed and implemented a model for a multi-function relay using a three-phase transmission line system. Different type of multi-function relay was implemented such as (over/under voltage, over current, and over/ under frequency).…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of Multifunction Relay Based on Microcontroller

Hameed

Sultan

Booneya

2021

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The power systems are exposed to many abnormal conditions, so an advanced protection system must be provided to stand up to these challenges. Protection devices evolved continuously with the development of power systems. The accuracy, high response, reliability, and speed of fault detection are required in the operating mode of multi-function protective relays. A Multifunction Relay has been designed and implemented, which consists of three types of relays: over current relay OCR, over/under voltage relay OVR/UVR, and differential relay DFR. The relays OCR, OVR/UVR, and DFR are designed according to the standards IEC 60255, IEEE 1159, and IEEE C37.91, respectively, based on Arduino MEGA. The multi-function relay was implemented to work on a single phase. The setting of the multi-function relay configuration done using a new design based on the MATLAB GUI environment. Furthermore, the results obtained after each test appear on it and LCD screen. The multi-function relay which is designed can work as (OCR, OVR/UVR, DFR) in the case of a single-phase source. The experiential results show that the proposed multi-function relay is accurate, fast response, reliable, selective, good performance, low cost, and sensitivity when used to protect the power system equipment under different operating conditions.

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Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of Multifunction Relay Based on Microcontroller

Hameed

Sultan

Booneya

2021

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“…The metaheuristic methods are used in [16,17], and deep learning methods are implemented in [18,19]. The improved power quality and fault detection are presented in [20].…”

Section: Introductionmentioning

confidence: 99%

HVDC Fault Detection and Classification with Artificial Neural Network Based on ACO-DWT Method

Jawad

Abid

2023

Energies

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Unlike the more prevalent alternating current transmission systems, the high voltage direct current (HVDC) electric power transmission system transmits electric power using direct current. In order to investigate the precise remedy for fault detection of HVDC, this research proposes a method for the HVDC fault diagnostic methodologies with their limits and feature selection-based probabilistic generative model. The main contribution of this study is using the wavelet transform based on ant colony optimization and ANN to detect the different types of faults in HVDC transmission lines. In the proposed method, ANN uses optimum features obtained from the voltage, current, and their derivative signals. These features cannot be accurate to use in ANN because they cannot give reliable accuracy results. For this reason, first, the wavelet transform applies to the fault and non-fault signals to remove the noise. Then the ACO reduces unimportant features from the feature vector. Finally, the optimum features are used in the training of ANN as faulty and non-faulty signals. The multi-layer perceptron used in the suggested method consists of many layers, enabling the creation of a probability reconstruction over the inputs by the model. A supervised learning method is used to train each layer based on the selected features obtained from the ant colony optimization-discrete wavelet transform metaheuristic method. The artificial neural network technique is used to fine-tune the model to reduce the difference between true and anticipated classes’ error. The input signal and sampling frequencies are changed to examine the suggested strategy’s effectiveness. The obtained results demonstrate that the suggested fault detection and classification model can accurately diagnose HVDC faults. A comparison of the Support vector machine, Decision Tree, K-nearest neighbor algorithm (K-NN), and Ensemble classifier Machine techniques is made to verify the suggested method’s unquestionably higher performance.

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“…The design and implementation of two protection relays capable of handling fault conditions, such as overcurrent, is presented in [7], utilising both FPGA and microcontroller platforms. In [8], a multifunction digital protection relay that incorporates various protection schemes, including overcurrent, overvoltage, undervoltage, overfrequency, and underfrequency is introduced.…”

Section: Introductionmentioning

confidence: 99%

Multiagent System-Based Adaptive Numerical Relay Design and Development: Part I - Firmware

Shobole,

Abafogi,

Khalid

et al. 2023

ELEKTRON ELEKTROTECH

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Protection relays that incorporate advanced microprocessors are vital to electrical grids, providing fast and reliable responses to faulty conditions using efficient communication protocols. Instant detection and response to various faults are essential to minimise the risk of damage. Numerical relays can identify faulty conditions and trigger circuit breakers to open, thus preventing further damage to the system. Due to the lack of autonomous decision-making capabilities, existing numerical relays require manual reconfiguration in situations such as a change in network configuration and protection settings. These relays also do not have the ability to coordinate fault clearance when multiple sources supply power to the grid. A comprehensive overview of the research aimed at developing a multiagent system (MAS)-based adaptive protection relay will be provided by dividing it into separate articles such as firmware and hardware. This first part delves into the firmware aspects of this innovative relay, highlighting its adaptive capabilities and key considerations in its development. The second part will provide detailed design descriptions for the hardware features of the relay. An STM32MPU multicore advanced microprocessor is utilised to design and develop the adaptive numerical relay firmware. It incorporates several protection relay ANSI codes, communication protocols, and MAS-based adaptive protection schemes as part of the firmware.

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Design, Modeling and Implementation of Multi-Function Protective Relay with Digital Logic Algorithm

Cited by 7 publications

References 8 publications

Design and Implementation of Multifunction Relay Based on Microcontroller

Design and Implementation of Multifunction Relay Based on Microcontroller

HVDC Fault Detection and Classification with Artificial Neural Network Based on ACO-DWT Method

Multiagent System-Based Adaptive Numerical Relay Design and Development: Part I - Firmware

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