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In deregulated power systems Distribution Network Operators (DNO) are responsible for maintaining the proper operation and efficiency of distribution networks. This is achieved traditionally through specific investments in network components and by using some optimization methods for reducing the active losses. The event of Distributed Generation (DG) has introduced new challenges to these distribution networks both at the planning and operation stages. The role of Distributed Generation (DG) units must be correctly assessed to optimize the overall operating and investment cost for the whole system. However the Distributed Generation Owners (DGOs) have different objective functions which might be contrary to the objectives of DNO. This paper presents a long-term dynamic multi-objective model for planning of distribution networks regarding the benefits of DNO and DGOs. The proposed model simultaneously optimizes two objectives, namely the benefits of DNO and DGO and determines the optimal schemes of sizing, placement and specially the dynamics (i.e., timing) of investments on distributed generation units and network reinforcements over the planning period. The proposed model also considers the uncertainty of electric load, electricity price and wind turbine power generation using the point estimate method. The effect of benefit sharing is investigated for steering * Corresponding author

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In this paper we demonstrate the role of electricity storage for the integration of high shares of Variable Renewable Energy Sources (VRES 3 ) in the long-term evolution of the power system. For this a new electricity module is developed in POLES (Prospective Outlook on Long-term Energy Systems). It now takes into account the impacts of VRES on the European power system. The power system operation relies on EUCAD (European Unit Commitment And Dispatch), which includes daily storage and other inter-temporal constraints. The innovative aspect of our work is the direct coupling between POLES and EUCAD, thus combining a long-term simulation horizon and a short-term approach for the power system operation. The storage technologies represented are pumped-hydro storage, lithium-ion batteries, adiabatic Compressed Air Energy Storage (a-CAES) and electric vehicles (charging optimisation and vehicle-to-grid). Demand response and European grid interconnections are also represented, in order to include to some extent these flexibility options.