4 research outputs found

    A Vision for Co-optimized T&D System Interaction with Renewables and Demand Response

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    The evolution of the power system to the reliable, efficient and sustainable system of the future will involve development of both demand- and supply-side technology and operations. The use of demand response to counterbalance the intermittency of renewable generation brings the consumer into the spotlight. Though individual consumers are interconnected at the low-voltage distribution system, these resources are typically modeled as variables at the transmission network level. In this paper, a vision for co-optimized interaction of distribution systems, or microgrids, with the high-voltage transmission system is described. In this framework, microgrids encompass consumers, distributed renewables and storage. The energy management system of the microgrid can also sell (buy) excess (necessary) energy from the transmission system. Preliminary work explores price mechanisms to manage the microgrid and its interactions with the transmission system

    Review and assessment of the different categories of demand response potentials

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    Demand Response (DR) is a well-known concept which has been recognized as an increasingly valuable tool to provide flexibility to the power system, to support the integration of Variable Renewable Energy (VRE) resources and to manage the grid more efficiently. In recent years, there have been a growing number of publications focusing on the estimation of different categories of DR potentials (e.g. theoretical, technical, economic, and achievable) using different methodologies and assumptions in each research study. The contribution of the present study is twofold. Firstly, a literature review is undertaken focusing specifically on the categorization of the scientific approaches used to estimate the different categories of DR potentials. To the best of authors' knowledge, a general procedure for the estimation of each DR potential category is still missing. Therefore, a novel user-friendly and step-by-step theoretical framework for the determination of the different categories of DR potentials is presented. Findings of this study reveal that literature has extensively focused on the estimation of the technical DR potential followed by the economic, theoretical and achievable potentials respectively. A lack of understanding of the different categories of DR potentials was also identified, which sometimes have been unduly used in the literature. The proposed framework is supported on a small sample of numerical approaches and equations which results in a structured approach to bringing consensus to the DR potential assessment. (C) 2019 Elsevier Ltd. All rights reserved.This work is supported by the National Council for Scientific and Technological Development (CNPq), Brazil. This work has been supported by FCT - Fundacao para a Ciencia e Tecnologia (Portugal) within the Project Scope: UID/CEC/00319/2019 and the ERDF - European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation COMPETE 2020 Programme, and by National Funds through FCT, within project SAICTPAC/0004/2015 POCI/01/0145/FEDER/016434

    Digitale Transformation aus unternehmensübergreifender Perspektive: Management der Koevolution von Plattformbesitzern und Komplementoren in Plattformökosystemen

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    Digital platforms have the potential to transform how organizations are doing business in their respective ecosystems. Motivated by this transformation, the purpose of this thesis is to increase the understanding of digital transformation from an inter-organizational perspective. Therefore, this thesis clarifies the phenomenon of digital transformation, and models and analyzes multiple digital platform ecosystems. Building upon that, this dissertation reflects on multiple case studies on how platform owners can manage the co-evolution of their complementors in digital transformations in digital platform ecosystems.Digitale Plattformen haben das Potential, die Art und Weise, wie Unternehmen in ihren jeweiligen Ökosystemen Geschäfte machen, zu verändern. Motiviert durch diese Transformation, ist das Ziel dieser Arbeit, das Verständnis von digitaler Transformation aus einer inter-organisatorischen Perspektive zu erhöhen. Daher erläutert diese Arbeit das Phänomen der digitalen Transformation, und modelliert und analysiert mehrere digitale Plattformökosysteme. Darauf aufbauend reflektiert diese Dissertation in mehreren Fallstudien darüber, wie Plattformbesitzer die Koevolution ihrer Komplementoren in digitalen Transformationen in digitalen Plattformökosystemen steuern können
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