LEADER 00927nam0-22002891i-450- 001 990004035590403321 005 20080221113935.0 035 $a000403559 035 $aFED01000403559 035 $a(Aleph)000403559FED01 035 $a000403559 100 $a19990604d1982----km-y0itay50------ba 101 0 $aeng 105 $ay-------00-y- 200 1 $a<>theory of will in classical antiquity$fAlbrecht Dihle 210 $aBerkeley$aLos Angeles$aLondon$cUniversity of California Press$d1982 215 $aVIII, 268 p.$d22 cm 225 1 $aSather classical lectures$v48 700 1$aDihle,$bAlbrecht$f<1923- >$0153916 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004035590403321 952 $aP2B-440-DIHLE A.-1982$bBibl.59425$fFLFBC 952 $aP2B-440-DIHLE A.-1982 (BIS)$bDip.Fil.555$fFLFBC 959 $aFLFBC 996 $aTheory of will in classical antiquity$9471157 997 $aUNINA LEADER 03310nam 22003493a 450 001 9910765840503321 005 20250203235427.0 010 $a9783038977193 010 $a3038977195 024 8 $a10.3390/books978-3-03897-719-3 035 $a(CKB)5400000000000126 035 $a(ScCtBLL)d256f0ac-e495-43d0-9484-217417a1c765 035 $a(OCoLC)1105777016 035 $a(EXLCZ)995400000000000126 100 $a20250203i20192019 uu 101 0 $aeng 135 $auru|||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDistributed Energy Resources Management$fPedro Faria 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 online resource (1 p.) 330 $aAt present, the impact of distributed energy resources in the operation of power and energy systems is unquestionable at the distribution level, but also at the whole power system management level. Increased flexibility is required to accommodate intermittent distributed generation and electric vehicle charging. Demand response has already been proven to have a great potential to contribute to an increased system efficiency while bringing additional benefits, especially to the consumers. Distributed storage is also promising, e.g., when jointly used with the currently increasing use of photovoltaic panels. This book addresses the management of distributed energy resources. The focus includes methods and techniques to achieve an optimized operation, to aggregate the resources, namely, by virtual power players, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as a main drive for their efficient use. 610 00$aac/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; n/a 700 $aFaria$b Pedro$01312838 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910765840503321 996 $aDistributed Energy Resources Management$93031013 997 $aUNINA