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Risk averse scheduling by a PEV aggregator under uncertainty

Momber, Ilan (författare)
KTH,Elektriska energisystem
Siddiqui, Afzal (författare)
Stockholms universitet,Institutionen för data- och systemvetenskap,University College London, England
Roman, T. G. S. (författare)
visa fler...
Söder, Lennart H. (författare)
KTH,Elektriska energisystem
visa färre...
 (creator_code:org_t)
2015
2015
Engelska.
Ingår i: IEEE Transactions on Power Systems. - 0885-8950 .- 1558-0679. ; 30:2, s. 882-891
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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 charging schedules, i.e., a PEV aggregator, could exercise some form of load control according to electricity market prices and network charges. In this context, it is important to consider the effects of uncertainty of key input parameters to optimization algorithms for PEV charging schedules. However, the modeling of the PEV aggregator's exposure to profit volatility has received less attention in detail. Hence, this paper develops a methodology to maximize PEV aggregator profits taking decisions in day-ahead and balancing markets while considering risk aversion. Under uncertain market prices and fleet mobility, the proposed two-stage linear stochastic program finds optimal PEV charging schedules at the vehicle level. A case study highlights the effects of including the conditional value-at-risk (CVaR) term in the objective function and calculates two metrics referred to as the expected value of aggregation and flexibility.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Nyckelord

Conditional value-at-risk (CVaR)
optimal PEV charging schedule
plug-in electric vehicle (PEV) aggregator
risk aversion
stochastic linear programming
Airships
Algorithms
Commerce
Electric power system planning
Electric power systems
Electric vehicles
Linear programming
Optimization
Profitability
Scheduling
Stochastic systems
Value engineering
Vehicles
Conditional Value-at-Risk
Efficient allocations
Linear stochastic programs
Objective functions
Optimization algorithms
Plug in Electric Vehicle (PEV)
Fleet operations
data- och systemvetenskap

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