Energy policies in favor of a larger adoption of renewable energy sources for electricity production purposes and the significant progress of several renewable technologies are among the main drivers behind an increasing integration of distributed generation (DG) in distribution networks. DG affects distribution network planning and operation and, consequently, higher or lower network costs than in a traditional passive network scenario arise. Two main complementary tools for an efficient integration of DG have been identified in this thesis: (i) a sound economic regulation of Distribution System Operators (DSOs) for taking into account DG-driven potential costs and accordingly remunerating DSOs, and (ii) network tariff design, in order to allocate network costs and re-distribute potential benefits to different grid users. Distribution economic regulations vary from country to country with grid characteristics and regulatory customs. In order for Regulators to promote the integration of DG units according to policy objectives, the potential impact of DG on the different distribution costs needs to be analyzed and quantitatively assessed: in this thesis, these objectives are achieved by using a novel model that combines the technical characteristics of distribution grids with the regulatory details specific of each regulation. Once computed, DSOs' total allowed revenue is allocated to different users' categories according to the adopted tariff structures. This thesis focuses on the challenges arising within the traditional paradigm of distribution tariff design when an increasing amount of DG is connected to the grids. In particular, the consequences of DG exemption from distribution tariffs and the application of load-tailored tariff schemes to DG are investigated, both from a qualitative and quantitative point of view; cross subsidies between consumers and DG owners are computed by applying a cost causality principle. / <p>The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively. QC 20151009</p>

The purpose of this study is to examine possible tariff designs for a Swedish DSO to better reflect the individual’s future use of the grid when it comes to the expected effects of EV. A qualitative research method with a combination of an experimental and comparative case study design was carried through. The literature review involved data gathering within the subjects of grid tariff design, pricing of natural monopolies and behaviour related to electricity use. Empirical data consisted of quantitative data from the grid in combination with interviews of 5 respondents. With a systematic combining approach, the theoretical framework, empirical data and analysis evolved simultaneously. The results were analysed through emerging themes and evaluated with simulations. The study has shown that a static and easy to understand tariff is preferable. A reflective way to price distribution of electricity does not imply a correct breakdown of allocating costs to direct causes of them. When designing the tariff, a DSO must be aware of the psychological barriers and consequences a tariff design can induce. By that we find the combination of a fixed, demand and ToU component should give incitements well enough to make customers mindful of how they use their electricity. During a transition to a new tariff design, a customer focus approach should be used, were transparency and simplicity are keywords. The future could imply a shift from static to dynamic tariffs designs in which enabling technologies will have to ease the complexity for the customer in order to break down the psychological barriers.