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Book
DC & Hybrid Micro-Grids
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book is a printed version of the papers published in the Special Issue “DC & Hybrid Microgrids” of Applied Sciences. This Special Issue, co-organized by the University of Pisa, Italy and Østfold University College in Norway, has collected nine papers and the editorial, from 28 submitted, with authors from Asia, North America and Europe. The published articles provide an overview of the most recent research advances in direct current (DC) and hybrid microgrids, exploiting the opportunities offered by the use of renewable energy sources, battery energy storage systems, power converters, innovative control and energy management strategies.


Book
DC & Hybrid Micro-Grids
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book is a printed version of the papers published in the Special Issue “DC & Hybrid Microgrids” of Applied Sciences. This Special Issue, co-organized by the University of Pisa, Italy and Østfold University College in Norway, has collected nine papers and the editorial, from 28 submitted, with authors from Asia, North America and Europe. The published articles provide an overview of the most recent research advances in direct current (DC) and hybrid microgrids, exploiting the opportunities offered by the use of renewable energy sources, battery energy storage systems, power converters, innovative control and energy management strategies.


Book
DC & Hybrid Micro-Grids
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This book is a printed version of the papers published in the Special Issue “DC & Hybrid Microgrids” of Applied Sciences. This Special Issue, co-organized by the University of Pisa, Italy and Østfold University College in Norway, has collected nine papers and the editorial, from 28 submitted, with authors from Asia, North America and Europe. The published articles provide an overview of the most recent research advances in direct current (DC) and hybrid microgrids, exploiting the opportunities offered by the use of renewable energy sources, battery energy storage systems, power converters, innovative control and energy management strategies.

Keywords

Technology: general issues --- energy management strategy (EMS) --- distributed generator (DG) --- state of charge (SoC) --- circuit breaker (CB) --- standard test condition (STC) --- photovoltaic (PV) --- solar --- microgrid --- droop control --- patrol base --- islanded DC microgrid --- battery-only operation --- constant power load --- CPL --- floating DC bus --- stability criterion --- power management --- AC/DC distribution network --- distributed generator --- planning --- timing characteristics --- genetic-ant colony hybrid algorithm --- forest microgrid --- biomass energy --- operation mode-based sectional coordinated control --- hybrid energy storage --- predictive control --- inertia improvement --- unbalanced electric bridge --- DC insulation monitoring --- ground capacitance --- three-point climbing algorithm --- islanding detection --- DC grid --- active islanding detection method --- injected signal cancellation --- multi-distributed generations --- perturbation signal --- photovoltaic system --- direct current (DC) microgrid --- stability --- constant power loads --- large transmission line inductive --- simplified circuit model --- virtual negative inductance --- micro-grid --- hybrid micro-grid --- smart grid --- battery energy storage --- renewable energy sources (RES) --- hybrid vehicles (HEV) --- full-electric vehicles (EV) --- Bidirectional converters --- direct current (DC) grid --- hybrid microgrid --- bidirectional converters --- energy management strategy (EMS) --- distributed generator (DG) --- state of charge (SoC) --- circuit breaker (CB) --- standard test condition (STC) --- photovoltaic (PV) --- solar --- microgrid --- droop control --- patrol base --- islanded DC microgrid --- battery-only operation --- constant power load --- CPL --- floating DC bus --- stability criterion --- power management --- AC/DC distribution network --- distributed generator --- planning --- timing characteristics --- genetic-ant colony hybrid algorithm --- forest microgrid --- biomass energy --- operation mode-based sectional coordinated control --- hybrid energy storage --- predictive control --- inertia improvement --- unbalanced electric bridge --- DC insulation monitoring --- ground capacitance --- three-point climbing algorithm --- islanding detection --- DC grid --- active islanding detection method --- injected signal cancellation --- multi-distributed generations --- perturbation signal --- photovoltaic system --- direct current (DC) microgrid --- stability --- constant power loads --- large transmission line inductive --- simplified circuit model --- virtual negative inductance --- micro-grid --- hybrid micro-grid --- smart grid --- battery energy storage --- renewable energy sources (RES) --- hybrid vehicles (HEV) --- full-electric vehicles (EV) --- Bidirectional converters --- direct current (DC) grid --- hybrid microgrid --- bidirectional converters


Book
Plug-in Hybrid Electric Vehicle (PHEV)
Author:
ISBN: 3039214543 3039214535 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Climate change, urban air quality, and dependency on crude oil are important societal challenges. In the transportation sector especially, clean and energy efficient technologies must be developed. Electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) have gained a growing interest in the vehicle industry. Nowadays, the commercialization of EVs and PHEVs has been possible in different applications (i.e., light duty, medium duty, and heavy duty vehicles) thanks to the advances in energy storage systems, power electronics converters (including DC/DC converters, DC/AC inverters, and battery charging systems), electric machines, and energy efficient power flow control strategies. This book is based on the Special Issue of the journal Applied Sciences on “Plug-In Hybrid Electric Vehicles (PHEVs)”. This collection of research articles includes topics such as novel propulsion systems, emerging power electronics and their control algorithms, emerging electric machines and control techniques, energy storage systems, including BMS, and efficient energy management strategies for hybrid propulsion, vehicle-to-grid (V2G), vehicle-to-home (V2H), grid-to-vehicle (G2V) technologies, and wireless power transfer (WPT) systems.

Keywords

hybrid energy storage system --- plug-in hybrid electric vehicle --- Li-ion battery --- emerging electric machines --- lithium-ion capacitor --- electric vehicles (EVs) --- efficient energy management strategies for hybrid propulsion systems --- plug-in hybrid --- attributional --- electric vehicle --- energy system --- energy efficiency --- modified one-state hysteresis model --- air quality --- adaptive neuron-fuzzy inference system (ANFIS) --- Markov decision process (MDP) --- simulated annealing --- Paris Agreement --- mobility needs --- interleaved multiport converte --- dynamic programming --- state of health estimation --- strong track filter --- LCA --- modelling --- consequential --- losses model --- voltage vector distribution --- parallel hybrid electric vehicle --- electricity mix --- time-delay input --- convex optimization --- lifetime model --- artificial neural network (ANN) --- Li(Ni1/3Co1/3Mn1/3)O2 battery --- battery power --- CO2 --- capacity degradation --- regenerative braking --- open-end winding --- novel propulsion systems --- group method of data handling (GMDH) --- state of charge --- Well-to-Wheel --- energy storage systems --- including wide bandgap (WBG) technology --- wide bandgap (WBG) technologies --- marginal --- lithium polymer battery --- life-cycle assessment (LCA) --- energy management --- dual inverter --- lithium-ion battery --- measurements --- plug-in hybrid electric vehicles (PHEVs) --- emerging power electronics --- Q-learning (QL) --- fuel consumption characteristics --- Plugin Hybrid electric vehicle --- Energy Storage systems --- meta-analysis --- range-extender --- engine-on power --- reinforcement learning (RL) --- multi-objective genetic algorithm --- power sharing --- energy management strategy --- power distribution --- hybrid electric vehicles --- system modelling


Book
Intelligent Control in Energy Systems
Author:
ISBN: 3039214160 3039214152 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

energy management system --- artificial neural network --- control architecture --- intelligent buildings --- sensitivity analysis --- neural networks --- active balance --- photovoltaic system --- fast frequency response --- artificial intelligence --- MPPT operation --- model uncertainty --- load frequency control --- decision tree --- multi-agent control --- hybrid power plant --- Fault Ride Through Capability --- optimization --- small scale compressed air energy storage (SS-CAES) --- smart micro-grid --- current distortion --- hybrid electric vehicle --- parameter estimation --- railway --- ANFIS --- solar monitoring system --- urban microgrids --- phase-load balancing --- model reduction --- high-speed railway --- energy internet --- coordination of reserves --- differential evolution --- photovoltaic array --- ancillary service --- adjacent areas --- instantaneous optimization minimum power loss --- model predictive control --- HVAC systems --- sliding mode control --- MPPT: maximum power point tracking --- power oscillations --- thyristor --- interaction minimization --- occupancy model --- fuzzy logic controller --- power transformer winding --- RLS --- integrated energy systems --- vibration characteristics --- battery safety --- error estimation --- error compensation --- static friction --- convolutional neural network --- forecasting --- continuous voltage control --- medium voltage --- bridgeless SEPIC PFC converter --- building climate control --- PEM fuel cell --- proton exchange membrane fuel cell --- compound structured permanent-magnet motor --- occupancy-based control --- four phases interleaved boost converter --- long short term memory --- line switching --- lithium-ion battery pack --- back propagation (BP) neural network --- doubly-fed induction generator --- double forgetting factors --- current controller design --- repetitive controller --- exhaust gas recirculation (EGR) valve system --- neural network controller --- step-up boost converter --- internal short circuit resistance --- electric power consumption --- electric vehicle --- multiphysical field analysis --- energy efficiency --- multi-energy complementary --- system identification --- ?-synthesis --- network sensitivity --- intelligent control --- ?-class function --- frequency support --- multi-step forecasting --- frequency containment reserve --- orthogonal least square --- rule-based control --- industrial process --- hierarchical Petri nets --- wind integrated power system --- probabilistic power flow --- voltage controlling --- adaptive backstepping --- AC-DC converters --- line loss --- demand side management --- energy systems --- short-circuit experiment --- winding-fault characteristics --- neutral section --- stochastic power system operating point drift --- neural network algorithm --- operation limit violations --- fractional order fuzzy PID controller --- preventive control --- AC static switch --- battery packs --- model-based fault detection --- automotive application --- nonlinear power systems --- adaptive damping control --- pilot point --- energy management --- position control --- frequency control dead band --- fuzzy --- voltage violations --- distribution network planning --- frequency regulation --- energy management strategy --- multiple-point control --- electric meter --- polynomial expansion --- commercial/residential buildings --- system modelling --- three-stage --- soft internal short circuit --- demand response

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