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001 978-3-319-74263-2
003 DE-He213
005 20220801221234.0
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008 180214s2018 sz | s |||| 0|eng d
020 _a9783319742632
_9978-3-319-74263-2
024 7 _a10.1007/978-3-319-74263-2
_2doi
050 4 _aTK1001-1841
072 7 _aTHR
_2bicssc
072 7 _aTEC031000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.31
_223
245 1 0 _aElectricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs
_h[electronic resource] /
_cedited by Fernando Lopes, Helder Coelho.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXVI, 327 p. 69 illus., 67 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v144
505 0 _aOverview of Wholesale Electricity Markets -- Market Prices in a Power Market with more than 50% Wind Power -- Incentivizing Flexibility in System Operations -- Requirements for Strategic Reserves in a Liberalized Market with Wind Power -- Renewable Generation, Support Policies and the Merit Order Effect: A Comprehensive Overview and the Case of Wind Power in Portugal -- Demand Response in Electricity Markets: An Overview and a Study of the Price-effect on the Iberian Daily Market -- Multi-Agent Electricity Markets and Smart Grids Simulation with Connection to Real Physical Resources.
520 _aThis book describes the common ground between electricity markets (EMs) and software agents (or artificial intelligence generally). It presents an up-to-date introduction to EMs and intelligent agents, and offers a comprehensive description of the research advances and key achievements related to existing and emerging market designs to reliably and efficiently manage the potential challenges of variable generation (VG). Most EMs are unique in their complex relationships between economics and the physics of energy, but were created without the notion that large penetrations of variable generation (VG) would be part of the supply mix. An advanced multi-agent approach simulates the behavior of power markets over time, particularly markets with large-scale penetrations of renewable resources. It is intended as a reference book for researchers, academics and industry practitioners, but given the scope of the chapters and the highly accessible style, the book also provides a coherent foundation for several different graduate courses.
650 0 _aElectric power production.
_927574
650 0 _aComputational intelligence.
_97716
650 0 _aEnergy policy.
_914226
650 0 _aEnergy and state.
_931819
650 1 4 _aElectrical Power Engineering.
_931821
650 2 4 _aMechanical Power Engineering.
_932122
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aEnergy Policy, Economics and Management.
_931820
700 1 _aLopes, Fernando.
_eeditor.
_0(orcid)0000-0002-1246-2777
_1https://orcid.org/0000-0002-1246-2777
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954883
700 1 _aCoelho, Helder.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_954884
710 2 _aSpringerLink (Online service)
_954885
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319742618
776 0 8 _iPrinted edition:
_z9783319742625
776 0 8 _iPrinted edition:
_z9783319892733
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v144
_954886
856 4 0 _uhttps://doi.org/10.1007/978-3-319-74263-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79448
_d79448