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|a books978-3-03936-187-8
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|a 9783039361878
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|a 9783039361861
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|a Bracale, Antonio
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|a Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
|h Elektronische Ressource
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260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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300 |
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|a 1 electronic resource (252 p.)
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653 |
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|a generator rescheduling
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653 |
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|a LBSS
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653 |
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|a inverter
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653 |
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|a Intelligent Platform Management Interface (IPMI)
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653 |
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|a common mode current
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653 |
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|a Energy PLAN
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653 |
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|a renewable energy
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653 |
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|a wavelet transform
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653 |
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|a measurement techniques
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653 |
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|a RBFNOEHO technique
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653 |
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|a householder algorithm
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653 |
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|a MPPT technique
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653 |
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|a user-aware power regulatory model
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653 |
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|a Pumped Hydro Storage Unit (PHSU)
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653 |
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|a ancillary services
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653 |
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|a common mode voltage
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653 |
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|a PV system
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653 |
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|a trust management
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653 |
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|a harmonic analysis
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653 |
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|a History of engineering and technology / bicssc
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653 |
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|a solar
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653 |
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|a mitigation
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653 |
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|a solar PV
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653 |
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|a Service Oriented Architecture (SOA)
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653 |
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|a Distribution Management System (DMS)
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|a Graph Reduction in Parallel (GRIP)
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653 |
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|a power flow
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|a congestion management
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|a Quasi-Z source inverter (QZSI)
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653 |
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|a electric vehicles
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653 |
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|a Distributed Energy Resources (DER)
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653 |
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|a hybrid renewable energy sources (HRES)
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653 |
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|a Ultra Large-Scale System (ULSS)
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653 |
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|a PV
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653 |
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|a net energy metering (NEM)
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|a correlation analysis
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|a secure computing
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653 |
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|a global MPP (GMPP)
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|a Intelligent Electronic Device (IED)
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|a energy storage system (ESS)
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653 |
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|a reactive power
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653 |
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|a load
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653 |
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|a charging station
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653 |
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|a smart meter
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653 |
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|a nature-inspired algorithms
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653 |
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|a rotor angle
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653 |
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|a Advanced Metering Infrastructure (AMI)
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653 |
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|a maximum demand reduction (MDRed) model
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653 |
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|a voltage variations
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653 |
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|a aggregation times
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653 |
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|a power quality
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653 |
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|a Y source inverter (YSI)
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653 |
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|a electromagnetic interference
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653 |
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|a modulation techniques
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653 |
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|a transformer
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653 |
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|a grid connected inverters
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653 |
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|a photovoltaic systems
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653 |
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|a Flower Pollination Algorithm (FPA)
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653 |
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|a small signal stability
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653 |
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|a partial shading
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653 |
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|a power systems
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653 |
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|a wavelet packet
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653 |
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|a demand
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653 |
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|a battery energy storage system (BESS)
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653 |
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|a grid
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653 |
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|a maximum demand (MD)
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653 |
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|a cloud services
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700 |
1 |
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|a Sanjeevikumar, Padmanaban
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700 |
1 |
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|a Leonowicz, Zbigniew
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700 |
1 |
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|a Burgio, Alessandro
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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|a 10.3390/books978-3-03936-187-8
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/68992
|z DOAB: description of the publication
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|u https://www.mdpi.com/books/pdfview/book/2760
|7 0
|x Verlag
|3 Volltext
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|a 720
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|a 900
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|a 333
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|a 700
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|a 600
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|a 620
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|a The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods.
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