Results 31 to 40 of about 4,661 (190)
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators [PDF]
, 2019 In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for noise in the time series measurement data and propose robust approach for data-
Ajjarapu, Venkataramana +4 more
core +4 more sources
Energies, 2023 Synchrophasor-driven smart grid applications aiming to orchestrate a diverse set of Distributed Energy Resources (DERs) require extensive infrastructure including substantial instrumentation hardware, communication network extensions and controller ...
Prottay M. Adhikari +3 more
doaj +1 more source
Applying a formula for generator redispatch to damp interarea oscillations using synchrophasors [PDF]
, 2015 If an interarea oscillatory mode has insufficient damping, generator redispatch can be used to improve its damping. We explain and apply a new analytic formula for the modal sensitivity to rank the best pairs of generators to redispatch.
Dobson, Ian +2 more
core +3 more sources
Low-Latency, Three-Phase PMU Algorithms: Review and Performance Comparison
Applied Sciences, 2021 Phasor Measurement Units are the most advanced instruments for power network monitoring, since they allow phasors, frequency and rate of change of frequency (ROCOF) to be measured in predetermined time instants with respect to an absolute time reference.
Guglielmo Frigo +2 more
doaj +1 more source
Identification of Coherent Generators by Support Vector Clustering With an Embedding Strategy
IEEE Access, 2019 Identification of coherent generators (CGs) is necessary for the area-based monitoring and protection system of a wide area power system. Synchrophasor has enabled smarter monitoring and control measures to be devised; hence, measurement-based ...
Mehdi Babaei, S. M. Muyeen, Syed Islam
doaj +1 more source
Energies, 2021 This paper presents an event identification process in complementary feature extractions via convolutional neural network (CNN)-based event classification. The CNN is a suitable deep learning technique for addressing the two-dimensional power system data
Do-In Kim
doaj +1 more source
SoftwareX, 2018 The electric power grids expose highly dynamic behaviors that can be mitigated by exploiting Wide-Area Monitoring, Protection And Control (WAMPAC) technologies.
Maxime Baudette +2 more
doaj +1 more source
A Review of Machine Learning Approaches in Synchrophasor Technology
IEEE Access, 2023 As power systems (PS) move toward smart grids and microgrids in modern times, complexity eventually rises as a result of integration with various distributed energy resources, demand-side management, and cybersecurity issues.
M. Dhinu Lal, Ramesh Varadarajan
doaj +1 more source
Efficient detection for multifrequency dynamic phasor analysis [PDF]
, 2016 Analysis of harmonic and interharmonic phasors is a promising smart grid measurement and diagnostic tool. This creates the need to deal with multiple phasor components having different amplitudes, including interharmonics with unknown frequency locations.
Frigo, Guglielmo +2 more
core +1 more source
BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation
SoftwareX, 2017 BabelFish (BF) is a real-time data mediator for development and fast prototyping of synchrophasor applications. BF is compliant with the synchrophasor data transmission IEEE Std C37.118.2-2011.
M.S. Almas, L. Vanfretti, M. Baudette
doaj +1 more source