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Die Buchreihe Elektrische Energieversorgung ist auf die Behandlung von stationären und quasistationären Zuständen des Elektroenergiesystems fokussiert und soll anhand von detaillierten Beschreibungen und Darstellungen das notwendige Rüstzeug zur Verfügung stellen, um selbständig Fragestellungen aus der Planung und Führung von elektrischen Energiesystemen behandeln zu können. Im dritten Band werden mit Blick auf ein grundlegendes Verständnis des Systemverhaltens und aufbauend auf den Inhalten der ersten beiden Bände die wichtigsten Themen im Rahmen der Netzplanung und Netzführung sowie für die Auslegung der elektrischen Betriebsmittel und Schalter behandelt. Dies umfasst die Berechnung von 3-poligen Kurzschlüssen und von unsymmetrischen Quer- und Längsfehlern, die Bestimmung der Übertragungsverhältnisse in NS- und MS-Netzen mit einfachen Netztopologien, die Analyse der Winkelstabilität bei kleinen und großen Störungen, die Berechnung der Vorgänge im Rahmen der Frequenzregelung in Insel- und in Verbundsystemen, die Auslegung der Betriebsmittel und Schalter im Rahmen der Untersuchung der thermischen und mechanischen Kurzschlussfestigkeit sowie die Eigenschaften, Vor- und Nachteile der Sternpunktbehandlung in den unterschiedlichen Netzebenen. Univ.-Prof. Dr.-Ing. habil. Lutz Hofmann ist Leiter des Instituts für Elektrische Energiesysteme der Leibniz Universität Hannover und vertritt dort das Fachgebiet Elektrische Energieversorgung. Außerdem ist er Themenfeldleiter »Übertragungsnetze« am Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik in Kassel. Volume 3 addresses in detail the behavior of electrical energy systems with a special focus on the calculation of three-phase systems. Energy transmission stability and short-circuit security in energy systems make up an additional area of focus.

Electrical engineering. --- energy supply. --- power grid. --- power system management.

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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.

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

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The deployment of distributed renewable energy resources (DRERs) has accelerated globally due to environmental concerns and an increasing demand for electricity. DRERs are considered to be solutions to some of the current challenges related to power grids, such as reliability, resilience, efficiency, and flexibility. However, there are still several technical and non-technical challenges regarding the deployment of distributed renewable energy resources. Technical concerns associated with the integration and control of DRERs include, but are not limited, to optimal sizing and placement, optimal operation in grid-connected and islanded modes, as well as the impact of these resources on power quality, power system security, stability, and protection systems. On the other hand, non-technical challenges can be classified into three categories—regulatory issues, social issues, and economic issues. This Special Issue will address all aspects related to the integration and control of distributed renewable energy resources. It aims to understand the existing challenges and explore new solutions and practices for use in overcoming technical challenges.

Technology: general issues --- History of engineering & technology --- distribution system --- microgrids --- power quality --- power system management --- power system reliability --- smart grids --- distribution networks --- Monte Carlo simulations --- PV hosting capacity --- photovoltaics --- green communities --- energy independence --- HOMER --- wind turbines --- power losses --- power system optimization --- PV curves --- DG --- TSA/SCA --- solar-powered electric vehicle parking lots --- different PV technologies --- PLO’s profit --- uncertainties --- smart grid paradigm --- distributed generation --- model-based predictive control --- robustness --- worst-case scenario --- min–max optimisation --- intraday forecasting --- Gaussian process regression --- machine learning --- off-grid system --- composite control strategy --- solar photovoltaic panel --- wind turbine --- diesel generator --- energy storage system (ESS) --- synchronous machine (SM) --- permanent magnet brushless DC machine (PMBLDCM) --- power quality improvement --- n/a --- PLO's profit --- min-max optimisation