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The smart grid concept introduces improved possibilities for coordinated distribution grid management in order to increase the receptivity for Renewable Energy Sources while simultaneously guaranteeing a safe and reliable grid operation. This paper presents a smart grid control strategy for real-time low voltage (LV) grid management applications based on an online-learning algorithm. It enables for the derivation of a schedule-forecast for installed assets. Next to coordinated voltage and line utilization control the approach optimally exploits the potential benefits of innovative grid assets for grid operation. The performance of the algorithm is demonstrated by a simulation study using a typical LV grid.

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Due to an increasing share of distributed generation and recently emerging options in smart grid planning, distribution system operators (DSOs) are confronted with new challenges. Especially storage systems are frequently discussed in a smart grid context due their high flexibility. However, holistic analyses of energy storage together with traditional expansion measures are still rare. This paper addresses the optimal integration of storage systems into the planning process of smart grids. An algorithm for siting and sizing of storage systems and new overhead lines or cables is presented. The exemplary application of the algorithm proves the need for an integrated analysis of storage systems together with other expansion technologies and illustrates an economic advantage for independently operated storage systems in multifunctional operation in comparison to DSOcontrolled energy storages providing only grid support.