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Communications in Microgrids

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ISBN: 9783039284825 9783039284832 Year: Pages: 108 DOI: 10.3390/books978-3-03928-483-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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This book presents some latest treatments of several specific, but fundamental problems about the data communication and control of smart microgrids. It provides readers some valuable insights into advanced control and communication of microgrids. With the help of mathematical tools, graduate students will benefit with a deep understanding of microgrids and explore some new research directions. In the meantime, this book gives various pictures and flowcharts to show how to address some challenges in microgrids. In addition, it provides solutions to serval specific technical problems, which might be helpful as references for the R&D staff about power systems in utilities and industry. Specifically, the book introduces the applications of advanced control methods such as sliding mode control and model predictive control for microgrids. After getting in-depth understanding of these advanced control methods, the readers are able to design their own improved controllers for not only microgrids, but also for other real-world power plants. Besides, the readers will also learn how to design distributed transaction mechanisms for power market based on the cutting edge blockchain technology.

Analysis and Design of Hybrid Energy Storage Systems

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ISBN: 9783039286867 / 9783039286874 Year: Pages: 180 DOI: 10.3390/books978-3-03928-687-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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The most important environmental challenge today's society is facing is to reduce the effects of CO2 emissions and global warming. Such an ambitious challenge can only be achieved through a holistic approach, capable of tackling the problem from a multidisciplinary point of view. One of the core technologies called to play a critical role in this approach is the use of energy storage systems. These systems enable, among other things, the balancing of the stochastic behavior of Renewable Sources and Distributed Generation in modern Energy Systems; the efficient supply of industrial and consumer loads; the development of efficient and clean transport; and the development of Nearly-Zero Energy Buildings (nZEB) and intelligent cities. Hybrid Energy Storage Systems (HESS) consist of two (or more) storage devices with complementary key characteristics, that are able to behave jointly with better performance than any of the technologies considered individually. Recent developments in storage device technologies, interface systems, control and monitoring techniques, or visualization and information technologies have driven the implementation of HESS in many industrial, commercial and domestic applications. This Special Issue focuses on the analysis, design and implementation of hybrid energy storage systems across a broad spectrum, encompassing different storage technologies (including electrochemical, capacitive, mechanical or mechanical storage devices), engineering branches (power electronics and control strategies; energy engineering; energy engineering; chemistry; modelling, simulation and emulation techniques; data analysis and algorithms; social and economic analysis; intelligent and Internet-of-Things (IoT) systems; and so on.), applications (energy systems, renewable energy generation, industrial applications, transportation, Uninterruptible Power Supplies (UPS) and critical load supply, etc.) and evaluation and performance (size and weight benefits, efficiency and power loss, economic analysis, environmental costs, etc.).

Energy Storage and Management for Electric Vehicles

Authors: --- ---
ISBN: 9783039218622 9783039218639 Year: Pages: 238 DOI: 10.3390/books978-3-03921-863-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing.

Keywords

zinc–nickel single-flow battery --- equivalent circuit model --- self-discharge --- dynamic flow rate optimization --- genetic algorithm --- hybrid power system --- electric vehicle --- rule-based optimal strategy --- dynamic programming approach --- thermal modelling --- thermal behaviour --- lithium titanate oxide batteries --- optimal control --- supercapacitors --- batteries --- fuel cell --- hybrid vehicle --- battery degradation --- battery energy storage system --- charging scheme --- efficiency --- electric vehicle --- linear programming --- lithium ion battery --- operating expenses --- residential battery storage --- vehicle-to-building --- supercapacitor models --- parameter estimation --- ECE15 --- HPPC --- Simulink --- Simscape --- Matlab --- Identification --- regenerative energy --- timetable optimization --- energy storage system --- ?-constraint method --- improved artificial bee colony --- lithium-ion battery --- equivalent circuit model --- recursive least square --- adaptive forgetting factor --- parameter identification --- energy storage ageing and degradation --- life cycle assessment --- second-life energy storage applications --- Li-Sulfur batteries --- lithium-ion battery --- cell sorting --- multi-parameters sorting --- principal component analysis --- self-organizing maps clustering --- battery charging --- cycle-life --- state-of-health (SOH) --- battery cycle-life extension --- nonlinear battery model --- state of charge estimation --- lithium-ion battery --- Lipschitz nonlinear system --- Luenberger observer

Large Grid-Connected Wind Turbines

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ISBN: 9783038977568 Year: Pages: 212 DOI: 10.3390/books978-3-03897-757-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-04-05 10:34:31
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This book covers the technological progress and developments of a large-scale wind energy conversion system along with its future trends, with each chapter constituting a contribution by a different leader in the wind energy arena. Recent developments in wind energy conversion systems, system optimization, stability augmentation, power smoothing, and many other fascinating topics are included in this book. Chapters are supported through modeling, control, and simulation analysis. This book contains both technical and review articles.

Clean Energy and Fuel (Hydrogen) Storage

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ISBN: 9783039216307 9783039216314 Year: Pages: 278 DOI: 10.3390/books978-3-03921-631-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Clean energy and fuel storage are often required for both stationary and automotive applications. Some of these clean energy and fuel storage technologies currently under extensive research and development include hydrogen storage, direct electric storage, mechanical energy storage, solar–thermal energy storage, electrochemical (batteries and supercapacitors), and thermochemical storage. The gravimetric and volumetric storage capacity, energy storage density, power output, operating temperature and pressure, cycle life, recyclability, and cost of clean energy or fuel storage are some of the factors that govern efficient energy and fuel storage technologies for potential deployment in energy harvesting (solar and wind farms) stations and onboard vehicular transportation. This Special Issue thus serves the need for promoting exploratory research and development on clean energy and fuel storage technologies while addressing their challenges to practical and sustainable infrastructures.

Keywords

dye-sensitized solar cells --- carbon materials --- Ag nanoparticles --- freestanding TiO2 nanotube arrays --- gas turbine engine --- lean direct injection --- four-point --- low emissions combustion --- carbonate gas reservoirs --- water invasion --- recovery factor --- aquifer size --- production rate --- hydrogen storage --- complex hydrides --- nanocatalyst --- LiNH2 --- MgH2 --- ball milling --- Li-ion batteries --- nanocomposite materials --- cathode --- anode --- binder --- separator --- ionic liquid --- vertically oriented graphene --- electrical double layers --- charge density --- capacitance --- gas storage --- material science --- rock permeability --- synthetic rock salt testing --- Klinkenberg method --- hydrogen storage systems --- hydrogen absorption --- thermochemical energy storage --- metal hydride --- magnetism --- heat transfer enhancement --- Power to Liquid --- Fischer–Tropsch --- dynamic modeling --- lab-scale --- lithium-ion batteries --- simplified electrochemical model --- state of charge estimator --- extended kalman filter --- hot summer and cold winter area --- PCM roof --- comprehensive incremental benefit --- conjugate phase change heat transfer --- lattice Boltzmann method --- large-scale wind farm --- auxiliary services compensation --- battery energy storage system --- optimal capacity --- equivalent loss of cycle life --- hydrogen storage --- porous media --- bacterial sulfate reduction --- methanogenesis --- gas loss --- diffusion --- reactive transport modeling --- PHREEQC --- energy discharge --- bubbles burst --- bubbles transportation --- crystal growth rates --- undercooling --- salt cavern --- leaching tubing --- flutter instability --- flow-induced vibration --- internal and reverse external axial flows --- thermal energy storage (TES) --- slag --- regenerator --- concentrated solar power (CSP) --- quality function deployment (QFD) --- failure mode and effect analysis (FMEA) --- thermal energy storage --- electrochemical energy storage --- hydrogen energy storage --- salt cavern energy storage

Power Electronics in Renewable Energy Systems

Authors: ---
ISBN: 9783039210442 9783039210459 Year: Pages: 604 DOI: 10.3390/books978-3-03921-045-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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This book offers a collection of 30 scientific papers which address the problems associated with the use of power electronic converters in renewable energy source-based systems. Relevant problems associated with the use of power electronic converters to integrate renewable energy systems to the power grid are presented. Some of the covered topics relate to the integration of photovoltaic and wind energy generators into the rest of the system, and to the use of energy storage to mitigate power fluctuations, which are a characteristic of renewable energy systems. The book provides a good overview of the abovementioned topics.

Keywords

modular multilevel converter --- battery energy storage system --- state-of-charge balancing --- second-life battery --- multi-energy complementary --- microgrid --- demand response --- operation optimization --- electricity price --- peak-current-mode control --- dynamic modeling --- duty-ratio constraints --- discontinuous conduction mode --- FACTS devices --- active power filter --- static compensator --- control strategies --- grid-connected converter --- SPWM --- SVM --- maximum power point tracking --- open circuit voltage --- perturb and observe --- thermoelectric generator --- two-stage photovoltaic power --- virtual synchronous generator --- adaptive-MPPT (maximum power point tracking) --- improved-VSG (virtual synchronous generator) --- power matching --- failure zone --- governor --- frequency regulation --- inverter --- voltage-type control --- static frequency characteristics --- grid-connected converter --- adaptive resonant controller --- PLL --- impedance analysis --- distorted grid --- digital signal processor (DSP) TMS320F28335 --- grid-connected inverter --- internal model --- linear quadratic regulator --- LCL filter --- photovoltaic systems --- multilevel power converter --- soft switching --- selective harmonic mitigation --- phase shifted --- voltage cancellation --- adaptive control --- sliding mode control --- speed control --- wind energy system --- microgrid (MG) --- droop control --- washout filter --- hardware in the loop (HIL) --- active front-end converter --- back-to-back converter --- permanent magnet synchronous generator (PMSG) --- THD --- type-4 wind turbine --- wind energy system --- Opal-RT Technologies® --- synchronization --- adaptive notch filter (ANF) --- phase-locked loop (PLL) --- wind power prediction --- phase space reconstruction --- multivariate linear regression --- cloud computing --- time series --- multiple VSGs --- oscillation mitigation --- coordinated control --- small-signal and transient stability --- coordination control --- energy storage --- grid support function --- inertia --- photovoltaic --- virtual synchronous generator --- weak grid --- parallel inverters --- oscillation suppression --- notch filter --- impedance reshaping --- boost converter --- peak-current-mode control --- dynamic modeling --- discontinuous operation mode --- doubly-fed induction generator --- short-circuit fault --- frequency regulation --- variable power tracking control --- improved additional frequency control --- variable coefficient regulation --- inertia and damping characteristics --- generator speed control --- electrical power generation --- turbine and generator --- grid-connected converter --- organic Rankine cycle --- renewable energy --- multiport converter (MPC) --- single ended primary inductor converter (SEPIC) --- multi-input single output (MISO) --- renewable power system --- coupled oscillators --- virtual impedance --- synchronization --- power converters --- droop control --- virtual admittance --- distributed generation --- energy --- renewable energy --- microgrids --- Energy Internet --- energy router --- microgrid --- electric vehicle --- PV --- battery-energy storage --- DC-AC power converters --- impedance emulation --- stability analysis --- power-hardware-in- the-loop --- photovoltaic generators --- maximum power point tracking --- step size --- perturbation frequency --- source and load impedance --- transient dynamics --- stability --- grid synchronization --- power electronics --- power grid --- inverter --- grid-connected --- microgrid --- experiment --- modules --- synchronverter --- power ripple elimination --- resonant controller --- unbalanced power grid --- ROCOF --- PLL --- error --- low inertia --- VSC --- n/a

Optimization Methods Applied to Power Systems: Volume 1

Authors: ---
ISBN: 9783039211302 9783039211319 Year: Pages: 382 DOI: 10.3390/books978-3-03921-131-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Keywords

Cable joint --- internal defect --- thermal probability density --- power system optimization --- optimal power flow --- developed grew wolf optimizer --- energy internet --- prosumer --- energy management --- consensus --- demand response --- day-ahead load forecasting --- modular predictor --- feature selection --- micro-phasor measurement unit --- mutual information theory --- stochastic state estimation --- two-point estimation method --- JAYA algorithm --- multi-population method (MP) --- chaos optimization algorithm (COA) --- economic load dispatch problem (ELD) --- optimization methods --- constrained parameter estimation --- extended Kalman filter --- power systems --- C&I particle swarm optimization --- ringdown detection --- optimal reactive power dispatch --- loss minimization --- voltage deviation --- hybrid method --- tabu search --- particle swarm optimization --- artificial lighting --- simulation --- calibration --- radiance --- GenOpt --- street light points --- DC optimal power flow --- power transfer distribution factors --- generalized generation distribution factors --- unit commitment --- adaptive consensus algorithm --- distributed heat-electricity energy management --- eight searching sub-regions --- islanded microgrid --- dragonfly algorithm --- metaheuristic --- optimal power flow --- particle swarm optimization --- CCHP system --- energy storage --- off-design performance --- dynamic solving framework --- battery energy storage system --- micro grid --- MILP --- PCS efficiency --- piecewise linear techniques --- renewable energy sources --- optimal operation --- UC --- demand bidding --- demand response --- genetic algorithm --- load curtailment --- optimization --- hybrid renewable energy system --- pumped-hydro energy storage --- off-grid --- optimization --- HOMER software --- rural electrification --- sub-Saharan Africa --- Cameroon --- building energy management system --- HVAC system --- energy storage system --- energy flow model --- dependability --- sustainability --- data center --- power architectures --- optimization --- AC/DC hybrid active distribution --- hierarchical scheduling --- multi-stakeholders --- discrete wind driven optimization --- multiobjective optimization --- optimal power flow --- metaheuristic --- wind energy --- photovoltaic --- smart grid --- transformer-fault diagnosis --- principal component analysis --- particle swarm optimization --- support vector machine --- wind power --- integration assessment --- interactive load --- considerable decomposition --- controllable response --- SOCP relaxations --- optimal power flow --- current margins --- affine arithmetic --- interval variables --- optimizing-scenarios method --- power flow --- wind power --- active distribution system --- virtual power plant --- stochastic optimization --- decentralized and collaborative optimization --- genetic algorithm --- multi-objective particle swarm optimization algorithm --- artificial bee colony --- IEEE Std. 80-2000 --- Schwarz’s equation --- fuzzy algorithm --- radial basis function --- neural network --- ETAP --- distributed generations (DGs) --- distribution network reconfiguration --- runner-root algorithm (RRA) --- inter-turn shorted-circuit fault (ISCF) --- strong track filter (STF) --- linear discriminant analysis (LDA) --- switched reluctance machine (SRM) --- charging/discharging --- electric vehicle --- energy management --- genetic algorithm --- intelligent scatter search --- electric vehicles --- heterogeneous networks --- demand uncertainty --- power optimization --- Stackelberg game --- power system unit commitment --- hybrid membrane computing --- cross-entropy --- the genetic algorithm based P system --- the biomimetic membrane computing --- transient stability --- two-stage feature selection --- particle encoding method --- fitness function --- power factor compensation --- non-sinusoidal circuits --- geometric algebra --- evolutionary algorithms --- electric power contracts --- electric energy costs --- cost minimization --- evolutionary computation --- bio-inspired algorithms --- congestion management --- low-voltage networks --- multi-objective particle swarm optimization --- affinity propagation clustering --- optimal congestion threshold --- optimization --- magnetic field mitigation --- overhead --- underground --- passive shielding --- active shielding --- MV/LV substation --- n/a

Optimization Methods Applied to Power Systems: Volume 2

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ISBN: 9783039211562 9783039211579 Year: Pages: 306 DOI: 10.3390/books978-3-03921-157-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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Abstract

This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.

Keywords

Cable joint --- internal defect --- thermal probability density --- power system optimization --- optimal power flow --- developed grew wolf optimizer --- energy internet --- prosumer --- energy management --- consensus --- demand response --- day-ahead load forecasting --- modular predictor --- feature selection --- micro-phasor measurement unit --- mutual information theory --- stochastic state estimation --- two-point estimation method --- JAYA algorithm --- multi-population method (MP) --- chaos optimization algorithm (COA) --- economic load dispatch problem (ELD) --- optimization methods --- constrained parameter estimation --- extended Kalman filter --- power systems --- C&I particle swarm optimization --- ringdown detection --- optimal reactive power dispatch --- loss minimization --- voltage deviation --- hybrid method --- tabu search --- particle swarm optimization --- artificial lighting --- simulation --- calibration --- radiance --- GenOpt --- street light points --- DC optimal power flow --- power transfer distribution factors --- generalized generation distribution factors --- unit commitment --- adaptive consensus algorithm --- distributed heat-electricity energy management --- eight searching sub-regions --- islanded microgrid --- dragonfly algorithm --- metaheuristic --- optimal power flow --- particle swarm optimization --- CCHP system --- energy storage --- off-design performance --- dynamic solving framework --- battery energy storage system --- micro grid --- MILP --- PCS efficiency --- piecewise linear techniques --- renewable energy sources --- optimal operation --- UC --- demand bidding --- demand response --- genetic algorithm --- load curtailment --- optimization --- hybrid renewable energy system --- pumped-hydro energy storage --- off-grid --- optimization --- HOMER software --- rural electrification --- sub-Saharan Africa --- Cameroon --- building energy management system --- HVAC system --- energy storage system --- energy flow model --- dependability --- sustainability --- data center --- power architectures --- optimization --- AC/DC hybrid active distribution --- hierarchical scheduling --- multi-stakeholders --- discrete wind driven optimization --- multiobjective optimization --- optimal power flow --- metaheuristic --- wind energy --- photovoltaic --- smart grid --- transformer-fault diagnosis --- principal component analysis --- particle swarm optimization --- support vector machine --- wind power --- integration assessment --- interactive load --- considerable decomposition --- controllable response --- SOCP relaxations --- optimal power flow --- current margins --- affine arithmetic --- interval variables --- optimizing-scenarios method --- power flow --- wind power --- active distribution system --- virtual power plant --- stochastic optimization --- decentralized and collaborative optimization --- genetic algorithm --- multi-objective particle swarm optimization algorithm --- artificial bee colony --- IEEE Std. 80-2000 --- Schwarz’s equation --- fuzzy algorithm --- radial basis function --- neural network --- ETAP --- distributed generations (DGs) --- distribution network reconfiguration --- runner-root algorithm (RRA) --- inter-turn shorted-circuit fault (ISCF) --- strong track filter (STF) --- linear discriminant analysis (LDA) --- switched reluctance machine (SRM) --- charging/discharging --- electric vehicle --- energy management --- genetic algorithm --- intelligent scatter search --- electric vehicles --- heterogeneous networks --- demand uncertainty --- power optimization --- Stackelberg game --- power system unit commitment --- hybrid membrane computing --- cross-entropy --- the genetic algorithm based P system --- the biomimetic membrane computing --- transient stability --- two-stage feature selection --- particle encoding method --- fitness function --- power factor compensation --- non-sinusoidal circuits --- geometric algebra --- evolutionary algorithms --- electric power contracts --- electric energy costs --- cost minimization --- evolutionary computation --- bio-inspired algorithms --- congestion management --- low-voltage networks --- multi-objective particle swarm optimization --- affinity propagation clustering --- optimal congestion threshold --- optimization --- magnetic field mitigation --- overhead --- underground --- passive shielding --- active shielding --- MV/LV substation --- n/a

Multilevel Converters: Analysis, Modulation, Topologies, and Applications

Authors: ---
ISBN: 9783039214815 9783039214822 Year: Pages: 548 DOI: 10.3390/books978-3-03921-482-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Electrical and Nuclear Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book is a collection of scientific papers concerning multilevel inverters examined from different points of view. Many applications are considered, such as renewable energy interface, power conditioning systems, electric drives, and chargers for electric vehicles. Different topologies have been examined in both new configurations and well-established structures, introducing novel and particular modulation strategies, and examining the effect of modulation techniques on voltage and current harmonics and the total harmonic distortion.

Keywords

DC–DC conversion --- interleaved buck --- parasitic switching states --- three-level converter --- simplified PWM strategy --- redundant switching combination --- voltage balance control --- modular multilevel converter --- IGBT short-circuit --- fault detection --- fault location --- Differential Comparison Low-Voltage Detection Method (DCLVDM) --- Continuous Wavelet Transform --- digital controller --- digital signal processors (DSP) --- modular multilevel converters (MMC) --- multi-terminal DC network (MTDC) --- MMC-MTDC --- hybrid modulated model predictive control --- optimal output voltage level --- multi-point DC control --- neutral-point-clamped (NPC) inverter --- dc-link capacitor voltage balance --- offset voltage injection --- harmonic component --- modular multilevel converters --- capacitor voltage balancing --- sorting networks --- field-programmable gate array --- low-harmonic DC ice-melting device --- transmission line --- voltage fluctuation --- harmonic --- dynamic reactive --- substation’s voltage stability --- alternating current (AC) motor drive --- current estimation --- current reconstruction method --- current unmeasurable areas --- total harmonic distortion (THD) --- single shunt resistor --- space vector pulse width modulation (SVPWM) --- shift method --- minimum voltage injection (MVI) method --- three-level neutral point clamped inverter (NPCI) --- three-level boost --- automatic current balance --- three-loop --- voltage imbalance --- DC-link voltage balancing --- field-oriented control --- field-programmable gate array --- multilevel active-clamped converter --- motor drive --- buck-chopper --- PV-simulator --- T-type converter --- real time simulator --- three-level boost DC-DC converter --- small signal modeling --- voltage balance control --- multilevel converter --- selected harmonic elimination --- genetic algorithm --- imperialist competitive algorithm --- voltage ripple --- voltage source inverter --- three-phase inverter --- DC-link capacitor design --- Cascaded H-bridge multilevel inverter (CHBMI) --- field-programmable gate array --- total harmonic distortion (THD) --- modulation techniques --- multilevel converter --- electric vehicle --- on-board battery charger --- power factor correction --- power quality --- smart grid --- model predictive control --- single-phase three-level NPC converter --- commutation --- modular multilevel converter (MMC) --- Sub-module (SM) fault --- fault-tolerant control --- Phase Disposition PWM --- finite control set model predictive control --- T-type inverter --- computational cost --- LC filter --- DC-link capacitor voltage balancing --- multilevel converter --- DC side fault blocking --- predictive control --- battery energy storage system (BESS) --- modular multilevel converter (MMC) --- state-of-charge (SOC) balancing control --- tolerance for battery power unbalance --- model predictive control (MPC) --- computational burden --- reverse prediction --- modular multilevel converter (MMC) --- multilevel inverters --- total harmonic distortion --- level-shifted PWM --- phase-shifted PWM --- electrical drives --- energy saving --- multilevel power converters --- permanent magnet synchronous generator --- open-end winding configuration --- voltage balancing --- power factor --- improved PQ algorithm --- power flow analysis --- three-phase to single-phase cascaded converter --- ACTPSS --- NPC/H Bridge --- five-level --- Balance of capacitor voltage --- Suppression of CMV --- SVPWM --- multilevel converter --- multi-motor drive --- harmonic mitigation --- active filter --- open end winding motor --- high efficiency drive --- high reliability applications

Methods and Concepts for Designing and Validating Smart Grid Systems

Authors: --- ---
ISBN: 9783039216482 9783039216499 Year: Pages: 408 DOI: 10.3390/books978-3-03921-649-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Energy efficiency and low-carbon technologies are key contributors to curtailing the emission of greenhouse gases that continue to cause global warming. The efforts to reduce greenhouse gas emissions also strongly affect electrical power systems. Renewable sources, storage systems, and flexible loads provide new system controls, but power system operators and utilities have to deal with their fluctuating nature, limited storage capabilities, and typically higher infrastructure complexity with a growing number of heterogeneous components. In addition to the technological change of new components, the liberalization of energy markets and new regulatory rules bring contextual change that necessitates the restructuring of the design and operation of future energy systems. Sophisticated component design methods, intelligent information and communication architectures, automation and control concepts, new and advanced markets, as well as proper standards are necessary in order to manage the higher complexity of such intelligent power systems that form smart grids. Due to the considerably higher complexity of such cyber-physical energy systems, constituting the power system, automation, protection, information and communication technology (ICT), and system services, it is expected that the design and validation of smart-grid configurations will play a major role in future technology and system developments. However, an integrated approach for the design and evaluation of smart-grid configurations incorporating these diverse constituent parts remains evasive. The currently available validation approaches focus mainly on component-oriented methods. In order to guarantee a sustainable, affordable, and secure supply of electricity through the transition to a future smart grid with considerably higher complexity and innovation, new design, validation, and testing methods appropriate for cyber-physical systems are required. Therefore, this book summarizes recent research results and developments related to the design and validation of smart grid systems.

Keywords

adaptive control --- fuzzy logic --- cell --- frequency containment control (FCC) --- power frequency characteristic --- droop control --- smart grids --- substation automation system (SAS) --- high-availability seamless redundancy (HSR) --- seamless communications --- traffic reduction technique --- Power Hardware-in-the-Loop (PHIL) --- interface algorithm (IA) --- operational range of PHIL --- linear/switching amplifier --- cyber-physical energy system --- co-simulation --- conceptual structuration --- coupling method --- linear decision rules --- optimal reserve allocation --- robust optimization --- web of cells --- demand response --- real-time balancing market --- elastic demand bids --- shiftable loads --- market design --- market design elements --- Web-of-Cells --- procurement scheme --- remuneration scheme --- pricing scheme --- cascading procurement --- real-time simulation --- hardware-in-the-Loop --- synchrophasors --- micro-synchrophasors --- distribution phasor measurement units --- distribution grid --- time synchronization --- PHIL (power hardware in the loop) --- simulation initialization --- synchronization --- time delay --- synchronous power system --- stability --- accuracy --- peer-to-peer --- distributed control --- device-to-device communication --- voltage control --- experimentation --- smart grid --- cyber physical co-simulation --- information and communication technology --- 4G Long Term Evolution—LTE --- network reconfiguration --- fault management --- power loss allocation --- plug-in electric vehicle --- smart grid --- locational marginal prices --- microgrid --- resilience --- investment --- underground cabling --- network outage --- battery energy storage system (BESS) --- micro combined heat and power (micro-CHP) --- electricity distribution --- solar photovoltaics (PV) --- islanded operation --- distributed control --- microgrid --- hardware-in-the-loop --- average consensus --- multi-agent system --- active distribution network --- laboratory testbed --- renewable energy sources --- DC link --- centralised control --- interoperability --- smart energy systems --- use cases --- IEC 62559 --- SGAM --- TOGAF --- integration profiles --- IHE --- testing --- gazelle --- connectathon --- Hardware-in-the-Loop --- Software-in-the-Loop --- Power-Hardware-in-the-Loop --- Quasi-Dynamic Power-Hardware-in-the-Loop --- smart grids --- real-time simulation --- validation and testing --- decentralised energy system --- smart grids control strategies --- smart grid --- wind power --- synchronized measurements --- PMU --- data mining --- Architecture --- Development --- Enterprise Architecture Management --- Model-Based Software Engineering --- Smart Grid --- Smart Grid Architecture Model --- System-of-Systems --- Validation --- design, development and implementation methods for smart grid technologies --- modelling and simulation of smart grid systems --- co-simulation-based assessment methods --- validation techniques for innovative smart grid solutions --- real-time simulation and hardware-in-the-loop experiments

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