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The increasing amount of renewable feed-in and new devices like electric vehicles and individual storage systems require an adapted expansion planning process for distribution grids. Today's way of planning with extreme scenarios lacks in taking into account the special behaviour of these new devices and infeed. Therefore the network expansion is often inefficient in case of oversized investments and not adapted to the real requirements. In this paper, an extension of an existing agentbased simulation system with storage agents is presented to consider the effects of storage systems in medium or low voltage grids during their planning. Within this simulation realistic timeseries are generated, forming the basis for further determination of loading probabilities in the planning process for network extension and grid investments.

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