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Geographical information systems as a tool to assist the electricity distribution networks planning


In recent years, population growth in urban areas has resulted in an increase in demand for electricity in a dispersed manner, bringing challenges to the planning of distribution systems to supply this demand. In addition, incentives for the installation of photovoltaic solar panels and the implementation of electric mobility policies make it necessary to carry out analyzes with a spatial perspective to determine the locations with the significant impact on the power distribution networks. Geographic information systems are computational tools that allow the processing of data with geographic reference. These systems allow the visualization of socioeconomic characteristics, spatial distribution of energy resources and the geographical location of load centers within the study zone, providing spatial databases with useful information for the future plans of distribution utilities. With the aim of assisting in the planning of distribution networks, this research project proposes to develop methodologies within geographic information systems that assist utilities in the expansion planning of distribution networks, using techniques available in such systems, and creating new algorithms that consider the local characteristics of the distribution concession area. (AU)

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Scientific publications (10)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
JOEL VILLAVICENCIO-GASTELU; JOEL MELO-TRUJILLO; ANTONIO PADILHA-FELTRIN. Low-voltage networks’ behaviour under the presence of Photovoltaic Generation. Tecnia, v. 31, n. 2, p. 54-60, . (17/22577-9, 15/21972-6)
MORRO-MELLO, IGOOR; PADILHA-FELTRIN, ANTONIO; MELO, JOEL D.; CALVINO, AIDA. Fast charging stations placement methodology for electric taxis in urban zones. ENERGY, v. 188, . (19/00466-6, 15/21972-6, 17/01909-3, 17/22577-9)
RODRIGUES, JOAO L.; BOLOGNESI, HUGO M.; MELO, JOEL D.; HEYMANN, FABIAN; SOARES, F. J.. Spatiotemporal model for estimating electric vehicles adopters. ENERGY, v. 183, p. 788-802, . (19/00466-6, 17/22577-9)
VENTURA, LUCAS DE OLIVEIRA; MELO, JOEL D.; PADILHA-FELTRIN, ANTONIO; FERNANDEZ-GUTIERREZ, JUAN PABLO; SANCHEZ ZULETA, CARMEN C.; PIEDRAHITA ESCOBAR, CARLOS CESAR. A new way for comparing solutions to non-technical electricity losses in South America. UTILITIES POLICY, v. 67, . (17/22577-9, 15/21972-6, 19/00466-6)
CAMILO, JONES C.; GUEDES, TATIANA; FERNANDES, DARLAN A.; MELO, J. D.; COSTA, F. F.; SGUAREZI FILHO, ALFEU J.. A maximum power point tracking for photovoltaic systems based on Monod equation. RENEWABLE ENERGY, v. 130, p. 428-438, . (17/22577-9, 17/04623-3)
MELLO, IGOOR MORRO; FAUSTINO, FAUSTA J.; MELO, JOEL D.; FELTRIN, ANTONIO PADILHA; IEEE. Greenhouse Gas Reduction Through the Introduction of Electric Vehicles in Urban Zones. 2020 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D LA), v. N/A, p. 6-pg., . (15/21972-6, 19/00466-6, 17/22577-9)
MORRO-MELLO, IGOOR; PADILHA-FELTIRN, ANTONIO; MELO, JOEL D.; HEYMANN, FABIAN. Spatial connection cost minimization of EV fast charging stations in electric distribution networks using local search and graph theory. ENERGY, v. 235, . (15/21972-6, 17/22577-9, 17/01909-3, 19/00466-6)
MEJIA, MARIO A.; MELO, JOEL D.; ZAMBRANO-ASANZA, SERGIO; PADILHA-FELTRIN, ANTONIO. Spatial-temporal growth model to estimate the adoption of new end-use electric technologies encouraged by energy-efficiency programs. ENERGY, v. 191, . (19/00466-6, 17/22577-9, 15/21972-6)
HEYMANN, FABIAN; SILVA, JOAO; VILACA, PHILIPE; SOARES, FILIPE JOEL; DUENAS, PABLO; MELO, JOEL; MIRANDA, VLADIMIRO; IEEE. Vertical Load Uncertainty at the T/D Boundary under different spatial DER allocation techniques. 2019 2ND INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST 2019), v. N/A, p. 6-pg., . (19/00466-6, 17/22577-9)
VILLAVICENCIO, J.; PADILHA-FELTRIN, A.; MELO, J. D.; IEEE. Spatial-Temporal Estimation of the PV Market Potential in Subareas. 2019 IEEE MILAN POWERTECH, v. N/A, p. 6-pg., . (15/21972-6, 17/22577-9)

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