Demand side management—A simulation of household behavior under variable prices

Within the next years, consumer households will be increasingly equipped with smart metering and intelligent appliances. These technologies are the basis for households to better monitor electricity consumption and to actively control loads in private homes. Demand side management (DSM) can be adopted to private households. We present a simulation model that generates household load profiles under flat tariffs and simulates changes in these profiles when households are equipped with smart appliances and face time-based electricity prices.We investigate the impact of smart appliances and variable prices on electricity bills of a household. We show that for households the savings from equipping them with smart appliances are moderate compared to the required investment. This finding is quite robust with respect to variation of tariff price spreads and to different types of appliance utilization patterns.Finally, our results indicate that electric utilities may face new demand peaks when day-ahead hourly prices are applied. However, a considerable amount of residential load is available for shifting, which is interesting for the utilities to balance demand and supply.

► Our model generates residential load profiles that are based on real world data.
► We simulate changes in load profiles when smart appliances and time-of-use tariffs are applied.
► The economic incentive for households to invest in smart appliances is low.
► Time-of-use tariffs create new, even higher peaks.
► Electric utilities have a large amount of the hourly load available for shifting.