Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/52527
Authors: 
Schroeder, Andreas
Siegmeier, Jan
Creusen, Murk
Year of Publication: 
2011
Series/Report no.: 
DIW Discussion Papers 1110
Abstract: 
Storage devices and demand control may constitute beneficial tools to optimize electricity generation with a large share of intermittent resources through inter-temporal substitution of load. We quantify the related cost reductions in a simulation model of a simplified stylized medium-voltage grid (10kV) under uncertain demand and wind output. Benders Decomposition Method is applied to create a two-stage stochastic program. The model informs an optimal investment sizing decision as regards specific 'smart grid' applications such as storage facilities and meters enabling load control. Model results indicate that central storage facilities are a more promising option for generation cost reductions as compared to demand management. Grid extensions are not appropriate in any of our scenarios. A sensitivity analysis is applied with respect to the market penetration of uncoordinated Plug-In Electric Vehicles which are found to strongly encourage investment into load control equipment for 'smart' charging and slightly improve the case for central storage devices.
Subjects: 
storage
demand management
stochastic optimization
Benders Decomposition
JEL: 
Q40
Q41
Document Type: 
Working Paper

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