Listing 1 - 7 of 7 |
Sort by
|
Choose an application
This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.
History of engineering & technology --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin
Choose an application
This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.
backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin
Choose an application
This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.
History of engineering & technology --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin --- backstepping method --- hybrid power active filter --- harmonic current compensation --- geometric algebra --- nonsinusoidal power --- passive compensation --- clifford algebra --- circuit systems --- power grids --- supergrids --- high-voltage power transmission --- complex networks --- community detection --- modularity --- evolutionary algorithms --- generational genetic algorithm --- modularity and improved genetic algorithm --- Louvain modularity algorithm --- CSP --- PTC rows --- solar --- shadowing --- energy --- renewable energy --- artificial neural networks --- diesel generation --- direct current networks --- greenhouse emissions --- numerical optimization --- mixed-integer nonlinear programming photovoltaic plants --- distribution networks --- direct power control --- global tracking controller --- passivity-based control --- supercapacitor energy storage system --- reactive power --- thyristor-controlled reactor --- air-gaped reactor --- low-voltage utility grid --- asymmetric compensation of reactive power --- smooth compensation of reactive power --- dynamic optimal dispatch --- wind turbine --- photovoltaic --- Grey Wolf Optimizer (GWO) --- energy management --- convex reformulation --- non-linear optimization --- numerical example --- second-order cone programming --- voltage stability margin
Choose an application
This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of specific interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng
History of engineering & technology --- microstructure --- carbon fibers --- polyacrylonitrile --- thermal stabilization --- recirculation fan frequency --- IR imaging --- extended-range electric bus --- adaptive-equivalent consumption minimum strategy --- Markov chain --- target driving cycles --- SOC reference curve --- energy management system --- building automation systems --- building energy efficiency --- daytime lighting --- lighting control systems --- EN 15232 standard --- four-wheel independent-drive --- electric vehicle --- skid steering --- differential steering --- sliding mode variable structure control --- robustness --- active 4WS system --- hierarchical control --- decoupling --- fractional sliding mode control --- vehicle-to-grid --- EV charging infrastructure --- optimal dispatch --- oil-to-electricity transformation for automobiles --- permanent magnet synchronous motor --- sliding mode control --- motion control --- fractional order --- sliding surface --- composite controller --- intelligent control (IC) --- fuzzy cognitive map (FCM) --- direct expansion air-conditioning (DX A/C) --- nonlinear --- coupling effect --- MIMO --- stability analysis --- Lyapunov function --- fuzzy bidirectional associative memories (FBAMs) --- URT --- multi-train optimization --- steep slope --- electrical network model --- regenerative energy dynamic losses --- Air-Conditioning --- On-Off control --- desert climate --- optimization --- Elman Neural Networks --- event-based consensus --- hierarchical leader–follower network --- hierarchical event-based control --- layer-to-layer delays --- microstructure --- carbon fibers --- polyacrylonitrile --- thermal stabilization --- recirculation fan frequency --- IR imaging --- extended-range electric bus --- adaptive-equivalent consumption minimum strategy --- Markov chain --- target driving cycles --- SOC reference curve --- energy management system --- building automation systems --- building energy efficiency --- daytime lighting --- lighting control systems --- EN 15232 standard --- four-wheel independent-drive --- electric vehicle --- skid steering --- differential steering --- sliding mode variable structure control --- robustness --- active 4WS system --- hierarchical control --- decoupling --- fractional sliding mode control --- vehicle-to-grid --- EV charging infrastructure --- optimal dispatch --- oil-to-electricity transformation for automobiles --- permanent magnet synchronous motor --- sliding mode control --- motion control --- fractional order --- sliding surface --- composite controller --- intelligent control (IC) --- fuzzy cognitive map (FCM) --- direct expansion air-conditioning (DX A/C) --- nonlinear --- coupling effect --- MIMO --- stability analysis --- Lyapunov function --- fuzzy bidirectional associative memories (FBAMs) --- URT --- multi-train optimization --- steep slope --- electrical network model --- regenerative energy dynamic losses --- Air-Conditioning --- On-Off control --- desert climate --- optimization --- Elman Neural Networks --- event-based consensus --- hierarchical leader–follower network --- hierarchical event-based control --- layer-to-layer delays
Choose an application
This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of specific interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng
History of engineering & technology --- microstructure --- carbon fibers --- polyacrylonitrile --- thermal stabilization --- recirculation fan frequency --- IR imaging --- extended-range electric bus --- adaptive-equivalent consumption minimum strategy --- Markov chain --- target driving cycles --- SOC reference curve --- energy management system --- building automation systems --- building energy efficiency --- daytime lighting --- lighting control systems --- EN 15232 standard --- four-wheel independent-drive --- electric vehicle --- skid steering --- differential steering --- sliding mode variable structure control --- robustness --- active 4WS system --- hierarchical control --- decoupling --- fractional sliding mode control --- vehicle-to-grid --- EV charging infrastructure --- optimal dispatch --- oil-to-electricity transformation for automobiles --- permanent magnet synchronous motor --- sliding mode control --- motion control --- fractional order --- sliding surface --- composite controller --- intelligent control (IC) --- fuzzy cognitive map (FCM) --- direct expansion air-conditioning (DX A/C) --- nonlinear --- coupling effect --- MIMO --- stability analysis --- Lyapunov function --- fuzzy bidirectional associative memories (FBAMs) --- URT --- multi-train optimization --- steep slope --- electrical network model --- regenerative energy dynamic losses --- Air-Conditioning --- On-Off control --- desert climate --- optimization --- Elman Neural Networks --- event-based consensus --- hierarchical leader–follower network --- hierarchical event-based control --- layer-to-layer delays
Choose an application
This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence, automated and intelligent control, energy analysis, energy modelling, energy management, and optimised energy efficiency. The significant impact of recent studies that have been selected for presentation are of high interest in engineering complex systems. An attempt has been made to expose the reading audience of engineers and researchers to a broad range of theoretical and practical topics. The topics contained in the present book are of specific interest to engineers who are seeking expertise in transportation, building, and manufacturing technologies as well as mathematical modelling of complex systems, engineering approaches to engineering complex problems, automation via artificial intelligence methods, automated and intelligent control, and energy systems. The primary audience of this book are researchers, graduate students, and engineers in mechanical engineering, control engineering, computer engineering, electrical engineering, and science disciplines. In particular, the book can be used for training graduate and PhD students as well as senior undergraduate students to enhance their knowledge by taking a graduate or advanced undergraduate course in the areas of complex systems, control systems, energy systems, and engineering applications. The covered research topics are also of interest to engineers and academia who are seeking to expand their expertise in these areas.eng
microstructure --- carbon fibers --- polyacrylonitrile --- thermal stabilization --- recirculation fan frequency --- IR imaging --- extended-range electric bus --- adaptive-equivalent consumption minimum strategy --- Markov chain --- target driving cycles --- SOC reference curve --- energy management system --- building automation systems --- building energy efficiency --- daytime lighting --- lighting control systems --- EN 15232 standard --- four-wheel independent-drive --- electric vehicle --- skid steering --- differential steering --- sliding mode variable structure control --- robustness --- active 4WS system --- hierarchical control --- decoupling --- fractional sliding mode control --- vehicle-to-grid --- EV charging infrastructure --- optimal dispatch --- oil-to-electricity transformation for automobiles --- permanent magnet synchronous motor --- sliding mode control --- motion control --- fractional order --- sliding surface --- composite controller --- intelligent control (IC) --- fuzzy cognitive map (FCM) --- direct expansion air-conditioning (DX A/C) --- nonlinear --- coupling effect --- MIMO --- stability analysis --- Lyapunov function --- fuzzy bidirectional associative memories (FBAMs) --- URT --- multi-train optimization --- steep slope --- electrical network model --- regenerative energy dynamic losses --- Air-Conditioning --- On-Off control --- desert climate --- optimization --- Elman Neural Networks --- event-based consensus --- hierarchical leader–follower network --- hierarchical event-based control --- layer-to-layer delays
Choose an application
Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.
energy management system --- buck-boost converter --- generic object oriented substation event (GOOSE) communication --- stochastic optimization --- optimal dispatch --- decision tree --- coordinated control --- optimization --- congestion problems --- distributed optimization --- IEC 61850 Standard --- distributed energy resources (DERs) --- technical and economic optimization --- reliability evaluation --- power quality disturbances --- renewable --- DC microgrid --- HESS --- ruleless EV --- extension theory --- network planning --- integrated electrical and thermal grids --- reliability --- photovoltaic feasibility --- flexibility --- microgrid test facility --- microgrid --- multiresolution --- small-scale standalone microgrid --- IEC 61850 --- direct search method (DSM) --- maximum electrical efficiency --- load frequency control (LFC) --- droop control --- flexible generation --- grid independence --- frequency control --- particle swarm optimization --- battery storage --- microgrid stability controller (MSC) --- doubly fed induction machine --- coordinative optimization of energy --- power distribution --- hierarchical control scheme --- grounding --- operation --- electric energy market --- nonlinear programming --- cost and life --- total sliding-mode control --- distributed energy resource --- vehicle information system --- peak-cut --- smoothing wind power --- genetic algorithm --- medium-voltage networks --- vehicle-to-grid --- devices scheduling --- microgrids --- energy storage --- electric vehicle --- energy efficiency --- active filter --- embedded system --- multivariable generalized predictive control (MGPC) --- load power sharing --- flywheel energy storage (FES) --- renewable sources --- telecommunication power management --- micro-grid --- smart inverter --- distributed generation --- storage systems --- electric vehicle (EV) --- microgrid (MG) --- mesh configuration --- residential users --- renewable energy source --- radial configuration --- S-transform --- optimal power flow --- solid oxide fuel cell --- vehicle-to-grid (V2G) --- communication delay --- current harmonic reduction --- smart grids --- inrush current --- flexible and configurable architecture --- optimal capacity --- ESS effective rate --- smart grid --- multi-agent --- distributed energy resources --- regular EV --- peak-shift --- datacenter --- deterministic optimization --- plug and play --- chaos synchronization detection --- residential power systems --- power quality --- combined power generation system --- DC distribution --- isolated grid --- coordinated control strategy --- DC architectures --- predictive control --- demand-side management --- distributed generation (DG) --- curtailment
Listing 1 - 7 of 7 |
Sort by
|