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Konzept einer agentenbasierten Transportsteuerung: für komplexe, dynamische und multimodale Logistiknetzwerke

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Book Series: Wissenschaftliche Berichte des Instituts für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie ISSN: 01712772 ISBN: 9783731504467 Year: Volume: 87 Pages: IX, 283 p. DOI: 10.5445/KSP/1000050382 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
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Transports within industrial logistics networks are planned strategically. Due to the existence of uncertainties an operational control of transports is necessary. Thereby, dispatchers are today not supported adequately. A control approach for dynamic, complex and multimodal transports is developed, which intends to support or automate the operational control. The approach has a decentral and heterarchical organization, in which the goods and means of transports are modeled as agents.

Multi-Agent Systems

Authors: --- --- ---
ISBN: 9783038979241 9783038979258 Year: Pages: 392 DOI: 10.3390/books978-3-03897-925-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.

Keywords

scaled consensus --- delay --- formation tracking --- multi-agent system --- collision avoidance --- multiple passive agents --- Mobile Robot Navigation --- pedestrian environment --- kinodynamic planning --- velocity obstacle --- agent-based modeling --- complex network --- multi-agent system --- network management --- [-5]agent-based simulation --- agent-based social simulation --- multi-agent system --- agent-oriented software engineering --- sociogram --- agent technology --- organizational model --- agent behavior --- travel behavior --- commuting --- carpooling --- online double auction --- mechanism design --- perishable goods --- multi-agent simulation --- bike sharing systems (BSS) --- regression models --- open data --- data visualization --- multi agent systems --- organizations and institutions --- socio-technical systems --- multi-agent systems --- electric vehicles --- charging stations --- genetic algorithm --- multi-agent system --- agent-based simulation --- 3D representation --- human-machine interaction --- ambient intelligence --- user interaction levels --- intelligent agents --- intelligent hybrid systems --- type-2 fuzzy inference system --- methodologies for agent-based systems --- organizations and institutions --- socio–technical systems --- computational accountability --- social commitments --- agent-based programming --- multi-agent system --- BDI agents --- model-driven development --- agent development methodology --- semantic web service --- ontology --- SEA_ML --- electronic bartering system --- ambient intelligence --- cognitive disabilities --- mobile communication --- orientation --- person tracking --- trajectory mining --- agreement technologies --- coordination models --- multiagent systems --- smart cities --- surface vehicle --- underactuated vehicle --- RBFNNs --- directed graph --- coordinated control --- Behavior Trees (BTs) --- Genetic Programming (GP) --- autonomous agents --- behavior modeling --- tree mining --- agent development framework --- mobile device agent --- linked data --- semantic web --- multi-agent systems --- agent-based modelling --- agent-based simulation --- agent-oriented technologies --- coordination --- Artificial Intelligence --- computer science --- multi-agent systems --- agent methodologies --- agent-based simulation --- ambient intelligence --- smart cities

Cooperative Connected and Automated Mobility (CCAM): Technologies and Applications

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ISBN: 9783039281589 9783039281596 Year: Pages: 128 DOI: 10.3390/books978-3-03928-159-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
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Cooperative connected and automated mobility (CCAM) has the potential to reshape the transportation ecosystem in a revolutionary way. Transportation systems will be safer, more efficient and more comfortable. Cars are going to be the third living space, as passengers will have the freedom to use their car to live, work and travel. Despite the massive effort devoted, both by academia and industry, to developing connected and automated vehicles, there are still many issues to be addressed, including not only scientific and technological, but also regulatory and political issues. This book, mostly centered on the scientific and technological aspects of CCAMs, features seven articles highlighting recent advances of the state of the art in different CCAM technologies. Two papers address vehicular platooning, a key application for day-1 automated driving, other presents a scheme to improve the resource utilization of vehicular networks, while another paper addresses critical train communications, proposing an architecture based on 5G, SDN and MPTCP to provide path diversity and end-to-end redundancy. One paper describes the status of roadside deployment activities and analyzes the policies and practices of cooperative driving in the European Union. Finally, two review papers, one on congestion control techniques for VANETs and the other on fault tolerance techniques for vehicular networks, conclude the book.

Distributed Energy Resources Management 2018

Authors: ---
ISBN: 9783039281701 9783039281718 Year: Pages: 286 DOI: 10.3390/books978-3-03928-171-8 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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The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Keywords

clustering --- demand Response --- distributed generation --- smart grids --- demand-side management --- multi-agent system --- distributed coordination --- distributed energy resources --- swarm intelligence --- virtual power plant --- distributed energy resources --- multi-agent technology --- bidding strategy --- stackelberg dynamic game --- aggregator --- distribution system operator --- distributed energy resources --- local flexibility market --- flexibility service --- distributed energy --- comprehensive benefits --- multi-agent synergetic estimation --- synergistic optimization strategy --- control system --- fault-tolerant control --- algorithm design and analysis --- IoT (Internet of Things) --- nonlinear control --- optimization --- DSM --- microgrid --- solar --- wind --- teaching-learning --- microgrid --- energy storage system --- distributed generator --- frequency control --- active power control --- autonomous control --- droop control --- frequency bus-signaling --- batteries --- energy storage --- microgrids --- optimal scheduling --- particle swarm optimization --- power system management --- smart grid --- supply and demand --- trade agreements --- low voltage networks --- multi-period optimal power flow --- multi-temporal optimal power flow --- active distribution networks --- unbalanced networks --- indoor environment quality --- occupant comfort --- building climate control --- healthy building --- energy efficiency --- adaptability --- decentralized energy management system --- local energy trading --- multi-agent system --- optimization --- smart grid --- demand response --- distributed generation --- particle swarm optimization --- prosumer --- n/a

Distributed Energy Resources Management

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ISBN: 9783038977186 Year: Pages: 236 DOI: 10.3390/books978-3-03897-719-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Physics (General) --- Science (General)
Added to DOAB on : 2019-03-21 15:50:41
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At present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use.

Keywords

ac/dc hybrid microgrid --- adaptive droop control --- autonomous operation --- distributed generation --- energy management system --- aggregator --- optimal bidding --- electricity markets --- probabilistic programming --- microgrid --- uncertainty --- hierarchical game --- non-cooperative game (NCG) --- energy trading --- pricing strategy --- demand response --- distributed generation --- microgrid --- real-time simulation --- consensus algorithm --- diffusion strategy --- distributed system --- energy management system --- microgrid operation --- optimal operation --- microgrids --- renewable energy --- storage --- scheduling --- co-generation --- decision-making under uncertainty --- domestic energy management system --- energy flexibility --- interval optimization --- stochastic programming --- Unit Commitment (UC) --- Demand Response (DR) --- Demand Response Unit Commitment (DRUC) --- Cat Swarm Optimization (CSO) --- average consensus algorithm (ACA) --- black start --- local controller --- microgrid (MG) --- multi-agent system (MAS) --- power system restoration (PSR) --- demand-side energy management --- multiplier method --- Powell direction acceleration method --- advance and retreat method --- thermal comfort --- transmission line --- fault localization --- time series --- ARIMA --- discrete wavelet transformer --- demand response --- virtual power plant --- energy flexibility potential --- aggregators --- business model --- building energy flexibility --- aggregator --- clustering --- demand response --- distributed generation

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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