Risk Averse Scheduling by a PEV Aggregator Under Uncertainty

Research on electric power systems has considered the impact of foreseeable plug-in electric vehicle (PEV) penetration on its regulation, planning, and operation. Indeed, detailed treatment of PEV charging is necessary for efficient allocation of resources. It is envisaged that a coordinator of char...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 30; H. 2; S. 882 - 891
Hauptverfasser:	Momber, Ilan, Siddiqui, Afzal, Gomez San Roman, Tomas, Soder, Lennart
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Airships Algorithms Availability Charging Commerce Computer and Systems Sciences Conditional Value-at-Risk Conditional value-at-risk (CVaR) data- och systemvetenskap Efficient allocations Electric power system planning Electric power systems Electric utilities Electric vehicles Electricity distribution Electricity supply industry Expected values Fleet operations Linear programming Linear stochastic programs Market prices Markets Mathematical models Objective functions optimal PEV charging schedule Optimization Optimization algorithms Plug in Electric Vehicle (PEV) plug-in electric vehicle (PEV) aggregator Power systems Profitability Risk risk aversion Schedules Scheduling stochastic linear programming Stochastic processes Stochastic systems System-on-chip Uncertainty Value engineering Vehicles
ISSN:	0885-8950, 1558-0679, 1558-0679
Online-Zugang:	Volltext
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