LEADER 04330nam 2201057z- 450 001 9910372783203321 005 20231214133452.0 010 $a3-03928-171-2 035 $a(CKB)4100000010163792 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/45287 035 $a(EXLCZ)994100000010163792 100 $a20202102d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Energy Resources Management 2018 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (286 p.) 311 $a3-03928-170-4 330 $aThe 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. 610 $avirtual power plant 610 $abidding strategy 610 $alocal flexibility market 610 $amulti-period optimal power flow 610 $aflexibility service 610 $aoccupant comfort 610 $aunbalanced networks 610 $adecentralized energy management system 610 $aautonomous control 610 $aoptimization 610 $aenergy storage 610 $amicrogrids 610 $aenergy efficiency 610 $adistributed energy 610 $acontrol system 610 $aDSM 610 $aoptimal scheduling 610 $aadaptability 610 $asynergistic optimization strategy 610 $ateaching-learning 610 $adistributed generation 610 $aenergy storage system 610 $astackelberg dynamic game 610 $aIoT (Internet of Things) 610 $asupply and demand 610 $acomprehensive benefits 610 $adistributed generator 610 $afrequency bus-signaling 610 $aactive distribution networks 610 $aswarm intelligence 610 $awind 610 $amulti-agent technology 610 $asolar 610 $apower system management 610 $afault-tolerant control 610 $aindoor environment quality 610 $amulti-temporal optimal power flow 610 $amulti-agent synergetic estimation 610 $asmart grids 610 $alocal energy trading 610 $aactive power control 610 $aprosumer 610 $amicrogrid 610 $atrade agreements 610 $ahealthy building 610 $asmart grid 610 $anonlinear control 610 $aalgorithm design and analysis 610 $abatteries 610 $adroop control 610 $adistributed energy resources 610 $aaggregator 610 $amulti-agent system 610 $afrequency control 610 $aparticle swarm optimization 610 $adistribution system operator 610 $abuilding climate control 610 $alow voltage networks 610 $ademand Response 610 $aclustering 610 $adistributed coordination 610 $ademand-side management 610 $ademand response 700 $aVale$b Zita$4auth$01290997 702 $aFaria$b Pedro$4auth 906 $aBOOK 912 $a9910372783203321 996 $aDistributed Energy Resources Management 2018$93021736 997 $aUNINA