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PID-regelaars --- Electronics --- fuzzy logic --- 681.5 --- Fuzzy logic control --- PID-regelsystemen --- Regeltechniek --- pid regelaar --- (zie ook: vage logica) --- PID (proportioneel, integrerend en differentiërend) --- Fuzzy logic. --- PID - system --- PID --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Monograph
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In dit boek tracht de auteur aan te tonen hoe fuzzy logic onze menselijke intuïtie kan benaderen en hoe de computer de fuzzy aanpak kan verwerken.
Mathematical control systems --- Computer science --- logica --- Didactics of mathematics --- fuzzy logic --- Fuzzy logic --- $?$93/05 --- 164 --- 510 --- 133 --- technologie --- 681.5:510.6 --- P regelaars --- PI regelaars --- PID regelaars --- algoritmen --- chips --- fuzzy regelaars --- regelaars --- regeltechniek --- simulatie --- software --- vage relaties --- vage verzamelingen --- wiskunde --- 510.6 --- 681.5 --- Fuzzy logic control --- Wiskundige logica --- E080267.jpg --- Logica --- (zie ook: vage logica) --- Fuzzy logic.
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The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.
Technology: general issues --- History of engineering & technology --- active distribution network --- computational intelligence --- optimization algorithms --- optimal distribution system management --- optimal Smart Grid management --- advanced distribution system optimization --- renewable distributed generation --- Smart Grid optimization --- co-simulation --- computational intelligence techniques --- distributed generation --- optimal allocation and control --- power system protection --- overcurrent relays --- protection relays --- metaheuristic --- school-based optimizer --- electric markets --- photovoltaic generation --- Monte Carlo simulations --- power flow --- S-iteration process --- Newton–Raphson --- high order newton-like method --- computational efficiency --- line-start synchronous motor --- efficiency factor --- power factor --- optometric analysis --- transient models --- induction machine --- ant colony optimization --- predictive current control --- fuzzy logic control --- Takagi–Sugeno --- n/a --- Newton-Raphson --- Takagi-Sugeno
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The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.
Technology: general issues --- History of engineering & technology --- active distribution network --- computational intelligence --- optimization algorithms --- optimal distribution system management --- optimal Smart Grid management --- advanced distribution system optimization --- renewable distributed generation --- Smart Grid optimization --- co-simulation --- computational intelligence techniques --- distributed generation --- optimal allocation and control --- power system protection --- overcurrent relays --- protection relays --- metaheuristic --- school-based optimizer --- electric markets --- photovoltaic generation --- Monte Carlo simulations --- power flow --- S-iteration process --- Newton–Raphson --- high order newton-like method --- computational efficiency --- line-start synchronous motor --- efficiency factor --- power factor --- optometric analysis --- transient models --- induction machine --- ant colony optimization --- predictive current control --- fuzzy logic control --- Takagi–Sugeno --- n/a --- Newton-Raphson --- Takagi-Sugeno
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The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.
active distribution network --- computational intelligence --- optimization algorithms --- optimal distribution system management --- optimal Smart Grid management --- advanced distribution system optimization --- renewable distributed generation --- Smart Grid optimization --- co-simulation --- computational intelligence techniques --- distributed generation --- optimal allocation and control --- power system protection --- overcurrent relays --- protection relays --- metaheuristic --- school-based optimizer --- electric markets --- photovoltaic generation --- Monte Carlo simulations --- power flow --- S-iteration process --- Newton–Raphson --- high order newton-like method --- computational efficiency --- line-start synchronous motor --- efficiency factor --- power factor --- optometric analysis --- transient models --- induction machine --- ant colony optimization --- predictive current control --- fuzzy logic control --- Takagi–Sugeno --- n/a --- Newton-Raphson --- Takagi-Sugeno
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Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.
Research & information: general --- renewable energy --- low-temperature energy storage --- SOC --- simulation --- sustainability --- greenhouse gas emission --- economic feasibility --- photovoltaic systems --- MPPT --- partial shading condition --- transfer reinforcement learning --- space decomposition --- microgrids --- energy management --- optimization --- photovoltaic --- energy storage --- demand response program (DRP) --- photovoltaic system (PV) --- pumped heat energy storage (PHES) --- critical peak pricing (CPP) DRP --- time-ahead dynamic pricing (TADP) DRP --- loss of power supply probability (LPSP) --- energy storage system (ESS) --- Multi-Objective Particle Swarm Optimization (MOPSO) --- pitch control --- permanent magnet-synchronous generator (PMSG) --- limit extracted power --- nonlinear adaptive control (NAC) --- perturbation observer --- vanadium redox flow battery --- genetic algorithm --- binary particle swarm optimization --- time-varying mirrored S-shaped transfer function --- greenhouse gas emissions --- heliostat --- sun tracking --- solar energy --- embedded system --- fuzzy logic control --- center of sums defuzzification method --- n/a
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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.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- 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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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.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- 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
Choose an application
Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid. These systems may include photovoltaic generators, wind turbines, hydro turbines or any other renewable electrical generator. Usually, this kind of system includes electricity storage (commonly lead-acid batteries, but also other types of storage can be used). In some cases, a backup generator (usually powered by fossil fuel, diesel or gasoline) is part of the hybrid system. The modelling of the components, the control of the system and the simulation of the performance of the whole system are necessary to evaluate the system technically and economically. The optimization of the sizing and/or the control is also an important task in this kind of system.
Research & information: general --- renewable energy --- low-temperature energy storage --- SOC --- simulation --- sustainability --- greenhouse gas emission --- economic feasibility --- photovoltaic systems --- MPPT --- partial shading condition --- transfer reinforcement learning --- space decomposition --- microgrids --- energy management --- optimization --- photovoltaic --- energy storage --- demand response program (DRP) --- photovoltaic system (PV) --- pumped heat energy storage (PHES) --- critical peak pricing (CPP) DRP --- time-ahead dynamic pricing (TADP) DRP --- loss of power supply probability (LPSP) --- energy storage system (ESS) --- Multi-Objective Particle Swarm Optimization (MOPSO) --- pitch control --- permanent magnet-synchronous generator (PMSG) --- limit extracted power --- nonlinear adaptive control (NAC) --- perturbation observer --- vanadium redox flow battery --- genetic algorithm --- binary particle swarm optimization --- time-varying mirrored S-shaped transfer function --- greenhouse gas emissions --- heliostat --- sun tracking --- solar energy --- embedded system --- fuzzy logic control --- center of sums defuzzification method --- n/a
Choose an application
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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