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This article describes the application of a flexibility valuation methodology over two different grid configurations of the French distribution system. For each of these configurations, the results as well as their sensitivity are detailed. INTRODUCTION Valuation of flexibilities The methodology applied in this article aims at estimating to what extent the failure costs, the grid functioning costs and the primary substation investment costs can be reduced when using innovative levers such as demand response, storage or distributed energy resources. It is designed specifically for assessing the value of flexibilities for the distribution grid. In this article, the flexibilities are used exclusively in order to postpone investments on HV/MV transformers. For a thorough description of the methodology, please refer to [1]. While using probabilistic socio-economic net present value to make investment decisions has been customary for decades in France, the implementation of this methodology to assess value of flexibilities with this level of detail was conceived in the frame of the Smart Grid Vendée project. Extrapolation of the results The results of the case studies are very specific to the grids on which the valuation methodology was applied. They depend largely on local grid configurations and local consumption patterns. As a consequence, these results can in no way be extrapolated. Selected case studies Two different case studies were selected. They provide two different grid configurations and consumption patterns. In both cases an investment in the primary substation is justified. Although these case studies represent examples of grid configuration for which investments are under study, their results cannot be extrapolated to similar grid configurations as they rely largely on the consumption patterns of the studied grids. FLEXIBILITIES IMPLEMENTATION Two different sets of assumption have been designed so as to illustrate a scenario where the flexibilities are optimally distributed (thereafter referred to as “maximal value scenario”) and a scenario where the flexibilities are homogeneously distributed over the distribution grid (rather pessimistic scenario thereafter referred to “homogeneous distribution scenario”). These two scenarios make it possible to assess the sensitivity of the valuation to the location of the flexibilities on the grid. Maximal value scenario Under this scenario, the overall power capacity of the flexibilities is set beforehand. It is then considered that the whole power capacity can contribute to reduce the expected energy not served (EENS) in case of grid failure. As a result, the constraints associated with the location of the flexibilities are not considered in this scenario. Although this scenario would be difficult to operate practically, it allows to describe the value of the flexibilities and the associated requirements in the best case scenario. Homogeneous distribution scenario In this scenario, the power capacity of the flexibilities is defined at first. When a grid failure occurs, it is then considered that the flexibilities are spread across the power loads proportionally to their consumption levels. As a result of this assumption, when a grid failure happens, it is likely that some of the flexibilities will not contribute to the grid recovery as they are not suitably located. This scenario results in using inefficiently the flexibilities and thus provides information on the valuation and the characteristics of the flexibilities in a suboptimal scenario. 24th International Conference on Electricity Distribution Glasgow, 12-15 June 2017

Flexibilities in grid planning: case studies on the French distribution system