Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis

• Autore: Bracale Antonio
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (252 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: Advanced Metering Infrastructure (AMI); aggregation times; ancillary services; battery energy storage system (BESS); charging station; cloud services; common mode current; common mode voltage; congestion management; correlation analysis; demand; Distributed Energy Resources (DER); Distribution Management System (DMS); electric vehicles; electromagnetic interference; Energy PLAN; energy storage system (ESS); Flower Pollination Algorithm (FPA); generator rescheduling; global MPP (GMPP); Graph Reduction in Parallel (GRIP); grid; grid connected inverters; harmonic analysis; householder algorithm; hybrid renewable energy sources (HRES); Intelligent Electronic Device (IED); Intelligent Platform Management Interface (IPMI); inverter; LBSS; load; maximum demand (MD); maximum demand reduction (MDRed) model; measurement techniques; mitigation; modulation techniques; MPPT technique; nature-inspired algorithms; net energy metering (NEM); partial shading; photovoltaic systems; power flow; power quality; power systems; Pumped Hydro Storage Unit (PHSU); PV; PV system; Quasi-Z source inverter (QZSI); RBFNOEHO technique; reactive power; renewable energy; rotor angle; secure computing; Service Oriented Architecture (SOA); small signal stability; smart meter; solar; solar PV; transformer; trust management; Ultra Large-Scale System (ULSS); user-aware power regulatory model; voltage variations; wavelet packet; wavelet transform; Y source inverter (YSI)
• Persona (resp. second.): SanjeevikumarPadmanaban; LeonowiczZbigniew; BurgioAlessandro; SikorskiTomasz; JanikPrzemyslaw; BracaleAntonio
• Sommario/riassunto: 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.
• Titolo autorizzato: Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557490303321
• Lo trovi qui: Univ. Federico II