Microcontroller Based Feeder Protection System from Various Fault Conditions in Distribution Line

Joy, Upal Barua; Chakraborty, Shourov; Murad, Tanbir Kabir; Tasnim, Afra; Barua, Bijoy P.; Das, Joy

doi:10.1109/iciset54810.2022.9775914

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…In addition to precise voltage regulation, the microcontroller-based control strategy also enables the implementation of other advanced features such as fault detection, protection, and communication [16], [17]. The microcontroller can monitor the input voltage, output voltage, and current, and detect abnormal conditions such as overvoltage, undervoltage, overcurrent, and short-circuit [18].…”

Section: Int J Elec and Comp Engmentioning

confidence: 99%

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Martinez

Ariza

Sarmiento

2023

IJECE

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<p>In the present research, an innovative fuzzy control approach is developed specifically for synchronous buck converters utilized in renewable energy applications. The proposed control strategy effectively manages load changes, nonlinear loads, and input voltage variations while improving both stability and transient response. The method employs a fuzzy inference system (FIS) that integrates adaptive control, feedforward control, and multivariable control to guarantee optimal performance under a wide range of operating conditions. The design of the control scheme involves formulating a rule base connecting input variables to an output variable, which signifies the duty cycle of the switching signal. The rule base is configured to dynamically modify control rules and membership functions in accordance with load conditions, input voltage fluctuations, and other contributing factors. The performance of the control scheme is evaluated in comparison to conventional techniques, such as proportional integral derivative (PID) control. Results indicate that the advanced fuzzy control approach surpasses traditional methods in terms of voltage regulation, stability, and transient response, particularly when faced with variable load conditions and input voltage changes. As a result, this control scheme is highly compatible with renewable energy systems, encompassing solar and wind power installations where input voltage and load conditions may experience considerable fluctuations. This research highlights the potential of the proposed fuzzy control approach to significantly enhance the performance and reliability of renewable energy systems.</p>

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Section: Int J Elec and Comp Engmentioning

confidence: 99%

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Martinez

Ariza

Sarmiento

2023

IJECE

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“…In addition, compared to FPGA's and adapted desktop computers, they are much more affordable. One example of their application in power protection is in Joy et al (2022), who created a feeder protection solution based on an Arduino nano microcontroller, contemplating multiple protection functions, like under and overvoltage protection, earth fault protection, among others. Another application is from Martins (2017), who used a development board MSP432P401R from Texas Instruments to run an adaptive recloser protection algorithm for power transmission lines.…”

Section: Introductionmentioning

confidence: 99%

Development of a Low-Cost Relay Prototype for Real-Time Power Protection Functions

Lopes¹,

Bertho²

2023

Learn. Nonlin. Mod.

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This paper presents a Raspberry Pi 3B+ based low-cost universal relay able to run power protection functions in real-time. The configurations necessary for this single-board computer to be able to provide real-time response are shown, as for latency tests to verify its response time. An experimental circuit was built to send three-phase fault signals from a Relay tester to the low-cost relay, in order to evaluate its response time to clear faults in comparison to a commercial relay. A neural networks algorithm was developed and executed in real-time by the proposed low-cost relay, which is able to differentiate three-phase faults from transient signals created from large load variations. The results show that the low-cost relay is capable of running simple and complex protection functions within a pre-defined runtime and acceptable precision, compared to a commercial protection relay. However, the sampling frequency the low-cost relay is able to handle is limited. The results have also shown that the low-cost relay meet the requirements for a soft real-time system, which is not ideal for practical power protection systems that require hard real-time systems.

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Rapid Protection System Using Single-End Current Data for Capacitive Compensated Power Transmission Network

Ali,

Bhargava,

Saxena

2023

Lecture Notes in Electrical Engineering

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Microcontroller Based Feeder Protection System from Various Fault Conditions in Distribution Line

Cited by 5 publications

References 23 publications

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Development of a Low-Cost Relay Prototype for Real-Time Power Protection Functions

Rapid Protection System Using Single-End Current Data for Capacitive Compensated Power Transmission Network

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