An evolutionary computational approach for the identification of distribution networks models

Author:

Rodríguez del Nozal Álvaro,Carmona-Pardo RubénORCID,Mauricio Juan M.,Romero-Ramos Esther

Funder

European Commission

Agencia Estatal de Investigacion

Centro para el Desarrollo Tecnológico Industrial

Publisher

Elsevier BV

Reference28 articles.

1. Topology tools for network analysis on GIS platforms;Agüero;Int. J. Electr. Eng. Technol.,2019

2. Planning and operation of LV distribution networks: a comprehensive review;Al-Jaafreh;IET Energy Syst. Integr.,2019

3. On identification of distribution grids;Ardakanian;IEEE Trans. Control Netw. Syst.,2019

4. Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources;Barsali,2014

5. Brouillon, J.-S., Fabbiani, E., Nahata, P., Dörfler, F., Ferrari-Trecate, G., 2021. Bayesian Methods for the Identification of Distribution Networks. In: 2021 60th IEEE Conference on Decision and Control. CDC, pp. 3646–3651. http://dx.doi.org/10.1109/CDC45484.2021.9683503.

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