Most of the isolated electrical systems throughout the world suffer from similar problems of fragility and high dependence on external resources to generate energy. Smart Grid solutions and integration of renewable en...Most of the isolated electrical systems throughout the world suffer from similar problems of fragility and high dependence on external resources to generate energy. Smart Grid solutions and integration of renewable energies in order to solve their problems have increased, although it is necessary to know their specific characteristics to select the optimal solutions for each case. Therefore, as the overall objective of INSULAE Project, the development of an Investment Planning Tool, IPT, is on the way. This paper provides a view on a characterization methodology developed for the set of Reference Islands and how it will help to exploit the IPT developed. For that, characterization vectors have been defined based on a selection of Key Performance Indicators (KPIs). And Reference Islands have been obtained from the analysis of KPIs data gathered from EU islands considering the vectors formed. The linkage of new islands to reference islands helps provide the new islands with an assessment on the possibility space of their investment plans with the aim of being a decarbonization plan considering the demonstrations already evaluated.展开更多
In the last years, with the advent of Smart Grids, many research and demonstration projects have seen the light in order to involve electric system in the implementation of advances in information and communication te...In the last years, with the advent of Smart Grids, many research and demonstration projects have seen the light in order to involve electric system in the implementation of advances in information and communication technologies, in order to improve network efficiency, reliability, security and quality of service. Before new implementations are performed, previous results have to be studied, and taken into account. In this line, this work presents the methodology, results and conclusions of the evaluation of the Smart Grid functionalities developed by 5 different DSOs during DISCERN project in order to select the optimal, cost-effective and most replicable solutions for the strategic development of the intelligence at medium voltage (MV) and low voltage (LV) networks.展开更多
文摘Most of the isolated electrical systems throughout the world suffer from similar problems of fragility and high dependence on external resources to generate energy. Smart Grid solutions and integration of renewable energies in order to solve their problems have increased, although it is necessary to know their specific characteristics to select the optimal solutions for each case. Therefore, as the overall objective of INSULAE Project, the development of an Investment Planning Tool, IPT, is on the way. This paper provides a view on a characterization methodology developed for the set of Reference Islands and how it will help to exploit the IPT developed. For that, characterization vectors have been defined based on a selection of Key Performance Indicators (KPIs). And Reference Islands have been obtained from the analysis of KPIs data gathered from EU islands considering the vectors formed. The linkage of new islands to reference islands helps provide the new islands with an assessment on the possibility space of their investment plans with the aim of being a decarbonization plan considering the demonstrations already evaluated.
文摘In the last years, with the advent of Smart Grids, many research and demonstration projects have seen the light in order to involve electric system in the implementation of advances in information and communication technologies, in order to improve network efficiency, reliability, security and quality of service. Before new implementations are performed, previous results have to be studied, and taken into account. In this line, this work presents the methodology, results and conclusions of the evaluation of the Smart Grid functionalities developed by 5 different DSOs during DISCERN project in order to select the optimal, cost-effective and most replicable solutions for the strategic development of the intelligence at medium voltage (MV) and low voltage (LV) networks.
