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This work presents a new method to quantify the flexibility of automatic demand response applied to residential electricity demand using price elasticities. A stochastic bottom-up model of flexible electricity demand in 2050 is presented. Three types of flexible devices are implemented: electrical heating, electric vehicles and wet appliances. Each house schedules its flexible demand w.r.t. a varying price signal, in order to minimize electricity cost. Own- and cross-price elasticities are obtained through a regression analysis. Via a Monte Carlo approach-based method, the elasticities are scaled up to a country level. The results show that the electric energy demand will double and peak power demand can increase by a factor 5 to 8 compared to today. The elasticity matrices show that most flexibility is available in winter and least in summer. ispartof: pages:1-6 ispartof: Powertech pages:1-6 ispartof: IEEE PowerTech Eindhoven 2015 location:Eindhoven, The Netherlands date:29 Jun - 2 Jul 2015 status: published |
