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Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized.

distributed measurement systems --- open-source platform --- n/a --- FPGA --- technology convergence --- distributed energy resource --- vision system --- infrared --- DC/DC converter --- modified sliding window algorithm --- virtual sensor --- open platform --- context --- maximum power point tracking (MPPT) --- ontology --- Python --- EPICS --- human-computer interface (HCI) --- visual algorithms --- open hardware --- automated vehicle --- interleaved --- electromyogram (EMG) --- sensor detection --- smart farming --- digital signal controllers --- blockchain --- PiCamera --- eye tracking --- smart cities --- Arduino --- smart converter --- OPC UA --- Field Programmable Gate Array (FPGA) --- wireless sensor networks --- Raspberry Pi --- BeagleBoard --- service learning --- embedded systems education --- individual management of livestock --- robotics --- sensor networks --- dsPIC --- thermal imaging --- photovoltaic (PV) system --- hardware trojan taxonomy --- science teaching --- side channel analysis --- coalition --- electrooculogram (EOG) --- automation networks --- robotic tool --- cloud computing --- Java --- industry 4.0 --- teaching robotics --- Digital Signal Processor (DSP) --- piecewise linear approximation (PLA) --- Internet of Things --- Cloud of Things --- STEM --- support vector regression --- cyber-physical systems --- interaction --- node-RED --- momentum data sensing --- remote sensing platform

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This book focuses on the applications of Power Electronics Converters in smart grids and renewable energy systems. The topics covered include methods to CO2 emission control, schemes for electric vehicle charging, reliable renewable energy forecasting methods, and various power electronics converters. The converters include the quasi neutral point clamped inverter, MPPT algorithms, the bidirectional DC-DC converter, and the push–pull converter with a fuzzy logic controller.

allied in-situ injection and production (AIIP) --- CO2 huff and puff --- shale oil reservoirs --- enhanced oil recovery --- renewable energy sources --- forecasting --- Weibull distribution --- neural networks --- optimal economic dispatch --- particle swarm optimization --- distribution network (DN) --- doubly-fed induction generator (DFIG) --- feeder automation (FA) --- compatibility --- adaptive control strategy (ACS) --- coordination technology --- air-cooled condenser --- mechanical draft wet-cooling towers --- hot recirculation rate --- complex building environment --- numerical simulation --- Neutral Point Clamped Z-Source Inverter (NPCZSI) --- shoot-through duty ratio --- modulation index --- voltage gain --- power quality --- dynamic modeling --- DC-DC converter --- electric vehicle (EV) --- charge pump capacitor --- fuzzy logic control --- maximum power point tracking --- photovoltaic --- push pull converter --- off-grid voltage source inverter --- medium voltage distribution network --- switch station --- electric vehicle --- DC–DC converter --- reconfiguration --- orderly charging --- grey wolf optimizer --- electrical harmonics --- harmonic estimation --- total harmonic distortion --- battery energy storage system --- third-harmonic current injection --- high efficiency --- active damping

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The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above.

constant power load --- microgrid --- dynamic stability --- optimization --- PLL --- power-sharing control --- solid oxide fuel cell --- parameter identification --- backstepping control --- event-triggered control --- Lyapunov stability theorem --- networked control system --- nonlinear system --- autonomous driving vehicles --- vehicular communication --- intelligent driver model --- data-driven control model --- 3PL logistics --- decision making --- ARAS --- entropy --- CRITIC --- maximum power point tracking --- photovoltaic system --- partial shading conditions --- surface-based polynomial fitting --- Differential Evolution --- metaheuristic algorithms --- DC–DC converter --- islanding detection --- local islanding --- remote islanding --- signal processing --- hybrid microgrids --- renewable energies --- energy management --- electricity system --- vibration control --- dynamic vibration absorbers --- aerial vehicles --- quadrotor --- motion tracking control --- autonomous power system --- generating power consumer --- hydroelectric power plant --- optimal power consumption --- wind power plant --- solar photovoltaic power plant --- energy storage --- microgrids --- university campus --- battery energy storage --- renewable energy --- simulation --- optimal behavioral modeling --- automotive --- low-dropout linear voltage regulator --- power supply rejection ratio

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The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above.

Research & information: general --- Physics --- constant power load --- microgrid --- dynamic stability --- optimization --- PLL --- power-sharing control --- solid oxide fuel cell --- parameter identification --- backstepping control --- event-triggered control --- Lyapunov stability theorem --- networked control system --- nonlinear system --- autonomous driving vehicles --- vehicular communication --- intelligent driver model --- data-driven control model --- 3PL logistics --- decision making --- ARAS --- entropy --- CRITIC --- maximum power point tracking --- photovoltaic system --- partial shading conditions --- surface-based polynomial fitting --- Differential Evolution --- metaheuristic algorithms --- DC–DC converter --- islanding detection --- local islanding --- remote islanding --- signal processing --- hybrid microgrids --- renewable energies --- energy management --- electricity system --- vibration control --- dynamic vibration absorbers --- aerial vehicles --- quadrotor --- motion tracking control --- autonomous power system --- generating power consumer --- hydroelectric power plant --- optimal power consumption --- wind power plant --- solar photovoltaic power plant --- energy storage --- microgrids --- university campus --- battery energy storage --- renewable energy --- simulation --- optimal behavioral modeling --- automotive --- low-dropout linear voltage regulator --- power supply rejection ratio

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The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.

multi-clearance --- neural network --- zero average dynamics --- Cable3D --- variable bus voltage MG --- explosion-magnetic generator --- quadratic boost --- matrix norm --- coordinated control system --- permanent magnet synchronous motor (PMSM) --- photovoltaic (PV) --- power conversion --- capacitance current pulse train control --- air gap eccentricity --- high step-up voltage gain --- voltage ripple --- offset-free --- goal representation heuristic dynamic programming (GrHDP) --- current mode control --- sliding mode observer (SMO) --- multi-model predictive control --- combined heat and power unit --- discontinuous conduction mode (DCM) --- current-pulse formation --- sliding mode control --- single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) --- subharmonic oscillations --- DC micro grid --- supply air temperature --- air-handling unit (AHU) --- vibration characteristics --- magnetic saturation --- slope compensation --- fixed-point inducting control --- the load of suspension point in the z direction --- variable switching frequency DC-DC converters --- droop control --- Helmholtz number --- plasma accelerator --- contraction analysis --- sliding control --- bifurcations in control parameter --- disturbance observer --- DC motor --- multiphysics --- virtual impedance --- pulverizing system --- ultrahigh voltage conversion ratio --- corrugated pipe --- DC-DC converters --- maximum power point tracking (MPPT) --- dynamic model --- nonlinear dynamics --- new step-up converter --- micro-grid --- global stability --- extended back electromotive force (EEMF) --- small-signal model --- electromagnetic vibration --- nonlinear dynamic model --- excited modes --- data-driven --- rigid body rotation --- position sensorless --- prediction --- centralized vs. decentralized control --- inferential control --- boost-flyback converter --- calculation method --- switched reluctance generator --- monodromy matrix --- bridgeless converter --- decoupling control --- distributed architecture --- wave --- buck converter --- soft sensor --- model–plant mismatches --- whistling noise --- efficiency optimization --- steel catenary riser --- moving horizon estimation --- single artificial neuron (SAN) --- space mechanism --- two-stage bypass --- electrical machine --- harmonic suppression --- local vs. global optimization --- performance recovery --- reinforcement learning (RL) --- adaptive dynamic programming (ADP) --- overvoltage --- planetary gears --- maximum power point tracking --- DC-DC buck converter --- power quality --- average-current mode control --- feedback coefficient --- power factor correction (PFC) --- capacitance current --- predictive control --- rotor dynamics