Development of a GIS-based tool for the analysis of future distribution networks

• Grant number: 16/20642-5
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: February 01, 2017
• End date: May 31, 2017
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Fernanda Caseño Trindade Arioli
• Grantee: Guilherme de Oliveira Custodio
• Supervisor: Luis Fernando Ochoa Pizzali
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: University of Melbourne, Australia
• Associated to the scholarship: 16/11070-8 - Exploration of measurement data from smart meters for the management of power distribution systems, BP.IC

Abstract

Distribution networks are likely to experience in the next decade significant infrastructural changes due to the massive integration of distributed energy resources, plug-in electric vehicles as well as sensors and meters. These changes are going to be accompanied by an increase in the complexity of planning and operational tasks, requiring new paradigms in how Distribution Network Operators (DNOs) will manage future Smart Grids. As distribution networks become more observable and controllable, more sophisticated network analysis tools are required and such tools must be able to integrate the available data in order to allow advanced Smart Grid studies. In this context, this project aims to develop a Geographic Information System (GIS)-based tool for the analysis of future distribution networks, using three main open-source software tools: Python, OpenDSS and QGIS. With this purpose, the candidate will have access to geographic information from real distribution networks, obtained from ongoing industry projects in Australia and Brazil. The GIS-based tool will be beneficial to an extensive range of studies dedicated, for instance, to the following DNO tasks: route optimization (crew dispatch), non-technical loss detection and location, topology database correction, outage management, asset management, integration of distributed energy resources, and plug-in electric vehicles. (AU)