A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

Kumar, A. Naresh; Sanjay, C.; Chakravarthy, M.

doi:10.1007/s40747-020-00131-w

Cited by 12 publications

(5 citation statements)

References 33 publications

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“…When a fault occurs, then that fault should be identi ed before one cycle completion for dynamic state fault identi cation. Based on the %TVE calculation (> 5%) the fault is identi ed [15]. Due to the less computational time of the phasor value calculation, faults can identi ed with less time.…”

Section: Identi Cation Of Faults In Dynamic Statementioning

confidence: 99%

Development and Implementation of Synchronized Phasor Measurements for Dynamic State Power System Monitoring and Fault Identification

Ponnala,

Chakravarthy,

Babu

et al. 2024

Preprint

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In real time the magnitude and phase angle of the voltage and current signals vary continuously. The measurement of magnitude and phase angles of these signals are very important for the visualization of real-time power systems pictorially and knowing dynamic power flow studies. This work presents the measurement of the voltage and current signal's magnitude and phase angles with time synchronization. The magnitude and phase angle are represented with a single quantity phasor. For the measurement of phasor values two different techniques are used, they are Recursive Discrete Fourier Transform (RDFT), and Non-Recursive Discrete Fourier Transform (NRDFT). With the RDFT the phasor (magnitude and phase angle) values are constant with time variation, with fixed load and constant supply. By varying the load or source the magnitude of the phasor is changed and the phase angle is constant. The values obtained from these results are used for the dynamic power flow calculation of the power system. With the NRDFT the phasor magnitude is constant the phase angle values are varying (rotating) with a speed of (ωt) and with a step of (1/N). The values obtained with this method are used for real-time power system visualization. The values obtained from the RDFT and NRDFT are time-stamped with GPS time. With GPS time stamping, the measurements are time synchronized, and real-time visualization of the power system is obtained.

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Section: Identi Cation Of Faults In Dynamic Statementioning

confidence: 99%

Development and Implementation of Synchronized Phasor Measurements for Dynamic State Power System Monitoring and Fault Identification

Ponnala,

Chakravarthy,

Babu

et al. 2024

Preprint

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“…Klasifikasi sakit kepala dilakukan juga dengan fuzzy mamdani berhasil meningkatkan akurasi sebesar 88% [14]. Klasifikasi untuk penentuan kesalahan pada double-circuit transmission lines menggunakan fuzzy mamdani telah dilakukan pada [15]. Demikian juga aplikasi klasifikasi gambar binatang bergerak menggunakan gabungan fuzzy mamdani dan CNN model berhasil dikembangkan dengan akurasi 98% pada [16].…”

Section: A Sistem Fuzzyunclassified

Studi Klasifikasi Gerakan Semaphore menggunakan Fuzzy Mamdani dari Data IMU Sensor

Budimartono,

Widodo

2023

INSYST

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Sering dijumpai di komunikasi antar kapal dan dikepramukaan penggunaan bendera semaphore untuk media komunikasi jarak jauh. Pembelajaran semaphore umumnya dilakukan secara manual dan menggunakan pendeteksian dengan citra digital. Namun keduanya memiliki keterbatasan yaitu ketersediaan tenaga ahli/tutor dan permasalahan pencahayaan. Mengingat pentingnya semaphore untuk komunikasi jarak jauh maka ahli semaphore memerlukan guidance system yang dapat menilai gerakan latihan. Penelitian ini menggunakan fuzzy logic dengan mamdani inference system. Metode yang digunakan adalah memasang sensor inersial pada kedua pergelangan tangan untuk mendapatkan data sudut gerakan tangan. Sensor inersial yang digunakan menghasilkan tiga sudut orientasi yaitu roll, pitch, dan yaw; namun dalam penelitian ini digunakan sudut roll. Gerakan semaphore pada penelitian ini berporos hanya pada satu sumbu sehingga data sudut roll yang digunakan untuk analisis. Sensor inersial secara nirkabel memberikan data ke komputer yang telah berisi perangkat lunak fuzzy system. Pada dasarnya gerakan semaphore memiliki delapan titik sudut, namun dalam penelitian ini telah ditemukan metode baru menggunakan lima area untuk mengelompokkan sudut kedua tangan. Pengelompokan pada lima area bermanfaat untuk penciptaan rule fuzzy. Output fuzzy berupa skor sesuai atau tidak sesuai. Eksperimen menggunakan lima orang subjek yang diminta melakukan delapan karakter yang mewakili huruf A-Z, dan spasi. Hasil pengujian menunjukkan sistem berhasil mendeteksi gerakan dengan akurasi 67.5%. Hasil umpan balik analisis menunjukkan bahwa kedepannya diperlukan sebuah sensor yang dapat mendeteksi kemiringan torso untuk mengkompensasi postur tubuh yang kurang tegak saat subjek melakukan eksperimen.

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“…The most recent fault distance methods based on FRS are reported in [15][16][17][18], which draw current from the relay terminal. FRS fault diagnosis for TCSCTLs is reported in studies [19][20][21][22][23].…”

Section: Related Researchmentioning

confidence: 99%

Fuzzy Rule-Based Fault Location Technique for Thyristor-Controlled Series-Compensated Transmission Lines

Kumar¹,

Ramesha²,

Jagadha³

et al. 2021

IJFIS

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Estimating the distance of a transmission line with a flexible alternating current transmission system including a thyristor-controlled series compensator is a challenging task. The distance estimation technique based on a fuzzy rule-based system (FRS) in a thyristor-controlled seriescompensated transmission line with multi-location faults is investigated in this study. The Haar wavelet current coefficients of the relaying bus are utilized as inputs to accomplish the distance estimation task. The FRS is illustrated through the Mamdani system in the LabVIEW software. The efficacy of the FRS is studied considering the effects of variation with respect to fault parameters. The main characteristic FRS is that it does not involve any two-end communication links because it employs relay terminal measurements only.

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A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

Cited by 12 publications

References 33 publications

Development and Implementation of Synchronized Phasor Measurements for Dynamic State Power System Monitoring and Fault Identification

Development and Implementation of Synchronized Phasor Measurements for Dynamic State Power System Monitoring and Fault Identification

Studi Klasifikasi Gerakan Semaphore menggunakan Fuzzy Mamdani dari Data IMU Sensor

Fuzzy Rule-Based Fault Location Technique for Thyristor-Controlled Series-Compensated Transmission Lines

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