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The Special Issue Modeling and Simulation in Engineering, belonging to the section Engineering Mathematics of the Journal Mathematics, publishes original research papers dealing with advanced simulation and modeling techniques. The present book, “Modeling and Simulation in Engineering I, 2022”, contains 14 papers accepted after peer review by recognized specialists in the field. The papers address different topics occurring in engineering, such as ferrofluid transport in magnetic fields, non-fractal signal analysis, fractional derivatives, applications of swarm algorithms and evolutionary algorithms (genetic algorithms), inverse methods for inverse problems, numerical analysis of heat and mass transfer, numerical solutions for fractional differential equations, Kriging modelling, theory of the modelling methodology, and artificial neural networks for fault diagnosis in electric circuits. It is hoped that the papers selected for this issue will attract a significant audience in the scientific community and will further stimulate research involving modelling and simulation in mathematical physics and in engineering.

Research & information: general --- Mathematics & science --- category theory --- mathematical modelling --- abstraction --- formal approaches --- functors --- surrogate model --- Kriging --- high-dimensional problems --- principal component dimension reduction --- trochoidal milling --- variable feed --- spiral groove --- CAM --- Levy walks --- anomalous diffusion --- fractional material derivative --- combustion process --- local estimate --- Monte Carlo method --- modeling --- analog circuits --- fault diagnosis --- neural networks --- carbon nanotubes --- heat transfer --- nanofluid --- rotating --- stretching/shrinking --- adjoint --- gradient-descent --- junctions --- transport equation --- unsteady flow --- rotation --- hybrid nanofluid --- stretching sheet --- radiation --- inverse modeling --- calcium leaching --- grout curtain --- hydraulic conductivity --- optimization --- fuzzy model --- response surface methodology --- diesel engine performance --- biodiesel --- anomalous diffusion equation --- continuous time random walk --- roughness scaling extraction --- fractal dimension --- accelerated algorithm --- Weierstrass–Mandelbrot function --- milling vibration signal --- spot volatility --- change of frequency --- roughness of volatility --- hurst exponent --- Chinese A-share market --- ferrofluidslip effect --- Stefan blowing --- thermodiffusion --- n/a --- Weierstrass-Mandelbrot function

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Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.

History of engineering & technology --- droop curve --- frequency regulation --- fuzzy logic --- the rate of change of frequency --- reserve power --- smart grid --- energy Internet --- convolutional neural network --- decision optimization --- deep reinforcement learning --- electric load forecasting --- non-dominated sorting genetic algorithm II --- multi-layer perceptron --- adaptive neuro-fuzzy inference system --- meta-heuristic algorithms --- automatic generation control --- fuzzy neural network control --- thermostatically controlled loads --- back propagation algorithm --- particle swarm optimization --- load disaggregation --- artificial intelligence --- cognitive meters --- machine learning --- state machine --- NILM --- non-technical losses --- semi-supervised learning --- knowledge embed --- deep learning --- distribution network equipment --- condition assessment --- multi information source --- fuzzy iteration --- current balancing algorithm --- level-shifted SPWM --- medium-voltage applications --- multilevel current source inverter --- motor drives --- phase-shifted carrier SPWM --- STATCOM --- electricity forecasting --- CNN–LSTM --- very short-term forecasting (VSTF) --- short-term forecasting (STF) --- medium-term forecasting (MTF) --- long-term forecasting (LTF) --- asynchronous motor --- linear active disturbance rejection control --- error differentiation --- vector control --- renewable energy --- solar power plant --- Data Envelopment Analysis (DEA) --- Fuzzy Analytical Network Process (FANP) --- Fuzzy Theory --- droop curve --- frequency regulation --- fuzzy logic --- the rate of change of frequency --- reserve power --- smart grid --- energy Internet --- convolutional neural network --- decision optimization --- deep reinforcement learning --- electric load forecasting --- non-dominated sorting genetic algorithm II --- multi-layer perceptron --- adaptive neuro-fuzzy inference system --- meta-heuristic algorithms --- automatic generation control --- fuzzy neural network control --- thermostatically controlled loads --- back propagation algorithm --- particle swarm optimization --- load disaggregation --- artificial intelligence --- cognitive meters --- machine learning --- state machine --- NILM --- non-technical losses --- semi-supervised learning --- knowledge embed --- deep learning --- distribution network equipment --- condition assessment --- multi information source --- fuzzy iteration --- current balancing algorithm --- level-shifted SPWM --- medium-voltage applications --- multilevel current source inverter --- motor drives --- phase-shifted carrier SPWM --- STATCOM --- electricity forecasting --- CNN–LSTM --- very short-term forecasting (VSTF) --- short-term forecasting (STF) --- medium-term forecasting (MTF) --- long-term forecasting (LTF) --- asynchronous motor --- linear active disturbance rejection control --- error differentiation --- vector control --- renewable energy --- solar power plant --- Data Envelopment Analysis (DEA) --- Fuzzy Analytical Network Process (FANP) --- Fuzzy Theory

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Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.

History of engineering & technology --- droop curve --- frequency regulation --- fuzzy logic --- the rate of change of frequency --- reserve power --- smart grid --- energy Internet --- convolutional neural network --- decision optimization --- deep reinforcement learning --- electric load forecasting --- non-dominated sorting genetic algorithm II --- multi-layer perceptron --- adaptive neuro-fuzzy inference system --- meta-heuristic algorithms --- automatic generation control --- fuzzy neural network control --- thermostatically controlled loads --- back propagation algorithm --- particle swarm optimization --- load disaggregation --- artificial intelligence --- cognitive meters --- machine learning --- state machine --- NILM --- non-technical losses --- semi-supervised learning --- knowledge embed --- deep learning --- distribution network equipment --- condition assessment --- multi information source --- fuzzy iteration --- current balancing algorithm --- level-shifted SPWM --- medium-voltage applications --- multilevel current source inverter --- motor drives --- phase-shifted carrier SPWM --- STATCOM --- electricity forecasting --- CNN–LSTM --- very short-term forecasting (VSTF) --- short-term forecasting (STF) --- medium-term forecasting (MTF) --- long-term forecasting (LTF) --- asynchronous motor --- linear active disturbance rejection control --- error differentiation --- vector control --- renewable energy --- solar power plant --- Data Envelopment Analysis (DEA) --- Fuzzy Analytical Network Process (FANP) --- Fuzzy Theory

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Modern power and energy systems are characterized by the wide integration of distributed generation, storage and electric vehicles, adoption of ICT solutions, and interconnection of different energy carriers and consumer engagement, posing new challenges and creating new opportunities. Advanced testing and validation methods are needed to efficiently validate power equipment and controls in the contemporary complex environment and support the transition to a cleaner and sustainable energy system. Real-time hardware-in-the-loop (HIL) simulation has proven to be an effective method for validating and de-risking power system equipment in highly realistic, flexible, and repeatable conditions. Controller hardware-in-the-loop (CHIL) and power hardware-in-the-loop (PHIL) are the two main HIL simulation methods used in industry and academia that contribute to system-level testing enhancement by exploiting the flexibility of digital simulations in testing actual controllers and power equipment. This book addresses recent advances in real-time HIL simulation in several domains (also in new and promising areas), including technique improvements to promote its wider use. It is composed of 14 papers dealing with advances in HIL testing of power electronic converters, power system protection, modeling for real-time digital simulation, co-simulation, geographically distributed HIL, and multiphysics HIL, among other topics.

Technology: general issues --- design methodology --- FPGA --- hardware in the loop --- LabVIEW --- real-time simulation --- power converters --- HIL --- CHIL --- integrated laboratories --- real-time communication platform --- power system testing --- co-simulation --- geographically distributed simulations --- power system protection and control --- holistic testing --- lab testing --- field testing --- PHIL --- PSIL --- pre-certification --- smart grids --- standards --- replica controller --- TCSC --- DPT --- testing --- control and protection --- large-scale power system --- voltage regulation --- distribution system --- power hardware-in-the-loop --- distributed energy resources --- extremum seeking control --- particle swarm optimization --- state estimation --- reactive power support --- volt–VAR --- model-based design --- multi physics simulation --- marine propulsion --- ship dynamic --- DC microgrid --- shipboard power systems --- under-frequency load shedding --- intelligent electronic device --- proof of concept --- hardware-in-the-loop testing --- real-time digital simulator --- frequency stability margin --- rate-of-change-of-frequency --- geographically distributed real-time simulation --- remote power hardware-in-the-Loop --- grid-forming converter --- hardware-in-the-loop --- simulation fidelity --- energy-based metric --- energy residual --- quasi-stationary --- Hardware-in-the-Loop (HIL) --- Control HIL (CHIL) --- Power HIL (PHIL) --- testing of smart grid technologies --- power electronics --- shifted frequency analysis --- dynamic phasors --- real-time hybrid-simulator (RTHS) --- hybrid simulation --- hardware-in-the-loop simulation (HILS) --- dynamic performance test (DPT) --- real-time simulator (RTS) --- testing of replicas --- multi-rate simulation --- EMT --- control --- inverters --- inverter-dominated grids --- power system transients --- predictive control --- hydro-electric plant --- variable speed operation --- ‘Hill Charts’ --- reduced-scale model --- testing and validation --- design methodology --- FPGA --- hardware in the loop --- LabVIEW --- real-time simulation --- power converters --- HIL --- CHIL --- integrated laboratories --- real-time communication platform --- power system testing --- co-simulation --- geographically distributed simulations --- power system protection and control --- holistic testing --- lab testing --- field testing --- PHIL --- PSIL --- pre-certification --- smart grids --- standards --- replica controller --- TCSC --- DPT --- testing --- control and protection --- large-scale power system --- voltage regulation --- distribution system --- power hardware-in-the-loop --- distributed energy resources --- extremum seeking control --- particle swarm optimization --- state estimation --- reactive power support --- volt–VAR --- model-based design --- multi physics simulation --- marine propulsion --- ship dynamic --- DC microgrid --- shipboard power systems --- under-frequency load shedding --- intelligent electronic device --- proof of concept --- hardware-in-the-loop testing --- real-time digital simulator --- frequency stability margin --- rate-of-change-of-frequency --- geographically distributed real-time simulation --- remote power hardware-in-the-Loop --- grid-forming converter --- hardware-in-the-loop --- simulation fidelity --- energy-based metric --- energy residual --- quasi-stationary --- Hardware-in-the-Loop (HIL) --- Control HIL (CHIL) --- Power HIL (PHIL) --- testing of smart grid technologies --- power electronics --- shifted frequency analysis --- dynamic phasors --- real-time hybrid-simulator (RTHS) --- hybrid simulation --- hardware-in-the-loop simulation (HILS) --- dynamic performance test (DPT) --- real-time simulator (RTS) --- testing of replicas --- multi-rate simulation --- EMT --- control --- inverters --- inverter-dominated grids --- power system transients --- predictive control --- hydro-electric plant --- variable speed operation --- ‘Hill Charts’ --- reduced-scale model --- testing and validation