LEADER 03929nam  2200973z- 450 
001 9910346681403321
005 20231214133320.0
035   $a(CKB)4920000000094855
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/45286
035   $a(EXLCZ)994920000000094855
100   $a20202102d2019      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDistributed Energy Resources Management
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2019
215   $a1 electronic resource (236 p.)
311   $a3-03897-718-7 
330   $aAt 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.
610   $aautonomous operation
610   $aenergy management system
610   $astochastic programming
610   $aco-generation
610   $aUnit Commitment (UC)
610   $adistributed system
610   $ademand-side energy management
610   $avirtual power plant
610   $aPowell direction acceleration method
610   $aaverage consensus algorithm (ACA)
610   $atransmission line
610   $ainterval optimization
610   $arenewable energy
610   $amicrogrids
610   $ascheduling
610   $abusiness model
610   $anon-cooperative game (NCG)
610   $adomestic energy management system
610   $atime series
610   $aenergy trading
610   $adecision-making under uncertainty
610   $aDemand Response Unit Commitment (DRUC)
610   $areal-time simulation
610   $adistributed generation
610   $adiscrete wavelet transformer
610   $amicrogrid (MG)
610   $aprobabilistic programming
610   $aoptimal bidding
610   $aac/dc hybrid microgrid
610   $abuilding energy flexibility
610   $astorage
610   $auncertainty
610   $aCat Swarm Optimization (CSO)
610   $aadvance and retreat method
610   $amultiplier method
610   $amicrogrid
610   $aDemand Response (DR)
610   $aelectricity markets
610   $aaggregators
610   $afault localization
610   $aaggregator
610   $aconsensus algorithm
610   $ablack start
610   $amicrogrid operation
610   $alocal controller
610   $athermal comfort
610   $adiffusion strategy
610   $aoptimal operation
610   $apower system restoration (PSR)
610   $aenergy flexibility
610   $aARIMA
610   $apricing strategy
610   $aclustering
610   $aadaptive droop control
610   $amulti-agent system (MAS)
610   $ahierarchical game
610   $aenergy flexibility potential
610   $ademand response
700   $aFaria$b Pedro$4auth$01312838
906   $aBOOK
912   $a9910346681403321
996   $aDistributed Energy Resources Management$93031013
997   $aUNINA