EPJ Web of Conferences
Volume 79, 2014E2C 2013 – 3rd European Energy Conference
|Number of page(s)||9|
|Section||T3 – Energy Production, Distribution and Storage|
|Published online||10 December 2014|
Optimization of active distribution networks: Design and analysis of significative case studies for enabling control actions of real infrastructure
1 RSE, Ricerca sul Sistema Energetico SpA, Italy
2 Università degli Studi di Milano & RSE, Italy
3 INFN & Università degli Studi di Milano, Italy
a Corresponding author: firstname.lastname@example.org
Published online: 10 December 2014
The diffusion of Distributed Generation (DG) based on Renewable Energy Sources (RES) requires new strategies to ensure reliable and economic operation of the distribution networks and to support the diffusion of DG itself. An advanced algorithm (DISCoVER – DIStribution Company VoltagE Regulator) is being developed to optimize the operation of active network by means of an advanced voltage control based on several regulations. Starting from forecasted load and generation, real on-field measurements, technical constraints and costs for each resource, the algorithm generates for each time period a set of commands for controllable resources that guarantees achievement of technical goals minimizing the overall cost. Before integrating the controller into the telecontrol system of the real networks, and in order to validate the proper behaviour of the algorithm and to identify possible critical conditions, a complete simulation phase has started. The first step is concerning the definition of a wide range of “case studies”, that are the combination of network topology, technical constraints and targets, load and generation profiles and “costs” of resources that define a valid context to test the algorithm, with particular focus on battery and RES management. First results achieved from simulation activity on test networks (based on real MV grids) and actual battery characteristics are given, together with prospective performance on real case applications.
© Owned by the authors, published by EDP Sciences, 2014
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