A Fast and Adaptive Dynamic Phasor Estimation Algorithm Implemented on Field Programmable Gate Array (FPGA)

A fast and precise dynamic phasor estimation algorithm using an adaptive improved second order Levenberg-Marquadt algorithm under stressed and off-nominal frequency circumstances is proposed in this paper. The proposed algorithm ventures a faster quasi-second-order method and in addition, the learni...

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Vydané v:IEEE transactions on industrial electronics (1982) Ročník 69; číslo 2; s. 2088 - 2098
Hlavní autori: Samantaray, Subhransu Ranjan, Nanda, Sarita, Dash, P.K.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.02.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Adaptive algorithms
Adaptive learning rule
Algorithms
Complexity
Convergence
Distributed generation
dynamic phasor estimation
Energy sources
Estimation
field programmable gate array (FPGA) implementation
Field programmable gate arrays
Frequency estimation
Harmonic analysis
Heuristic algorithms
improved Levenberg–Marquadt algorithm
Jacobian matrices
Machine learning
Phasors
Power harmonic filters
ISSN:0278-0046, 1557-9948
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Abstract A fast and precise dynamic phasor estimation algorithm using an adaptive improved second order Levenberg-Marquadt algorithm under stressed and off-nominal frequency circumstances is proposed in this paper. The proposed algorithm ventures a faster quasi-second-order method and in addition, the learning rate is also made adaptive to speed up the convergence. Moreover, the projected estimator essentially filters harmonics, estimates transients in a signal during faults and effectually performs in complex modulated setting which is found commonly in a power system with distributed energy resources. Outcomes reveal that the estimation errors and the convergence time of the proposed approach is way below the minimum requirement of the IEEE C37.118.1 standard. Besides, due to its reduced complexity, the estimator has been successfully implemented on the field programmable gate array (FPGA) platform and has been verified on a practical microgrid scenario including photo voltaic systems. The performance during testing indicates that the proposed technique has potential ability to perform under stressed conditions conforming the accuracy and speed of response.
AbstractList A fast and precise dynamic phasor estimation algorithm using an adaptive improved second order Levenberg–Marquadt algorithm under stressed and off-nominal frequency circumstances is proposed in this paper. The proposed algorithm ventures a faster quasi-second-order method and in addition, the learning rate is also made adaptive to speed up the convergence. Moreover, the projected estimator essentially filters harmonics, estimates transients in a signal during faults and effectually performs in complex modulated setting which is found commonly in a power system with distributed energy resources. Outcomes reveal that the estimation errors and the convergence time of the proposed approach is way below the minimum requirement of the IEEE C37.118.1 standard. Besides, due to its reduced complexity, the estimator has been successfully implemented on the field programmable gate array (FPGA) platform and has been verified on a practical microgrid scenario including photo voltaic systems. The performance during testing indicates that the proposed technique has potential ability to perform under stressed conditions conforming the accuracy and speed of response.
Author Samantaray, Subhransu Ranjan
Nanda, Sarita
Dash, P.K.
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SubjectTerms Adaptive algorithms
Adaptive learning rule
Algorithms
Complexity
Convergence
Distributed generation
dynamic phasor estimation
Energy sources
Estimation
field programmable gate array (FPGA) implementation
Field programmable gate arrays
Frequency estimation
Harmonic analysis
Heuristic algorithms
improved Levenberg–Marquadt algorithm
Jacobian matrices
Machine learning
Phasors
Power harmonic filters
Title A Fast and Adaptive Dynamic Phasor Estimation Algorithm Implemented on Field Programmable Gate Array (FPGA)
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