Power-Flow Simulations for Integrating Renewable Distributed Generation from Biogas, Photovoltaic, and Small Wind Sources on an Underground Distribution Feeder

Welson Bassi (), Igor Cordeiro and Ildo Luis Sauer
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Welson Bassi: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil
Igor Cordeiro: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil
Ildo Luis Sauer: Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil

Data, 2023, vol. 8, issue 10, 1-12

Abstract: The rapid expansion of distributed generation leads to the integration of an increasing number of energy generation sources. However, integrating these sources into electrical distribution networks presents specific challenges to ensure that the distribution networks can effectively accommodate the associated distributed energy and power. Thus, it is crucial to evaluate the electrical effects of power along the conductors, components, and loads. Power-flow analysis is a well-established numerical methodology for assessing parameters and quantities within power systems during steady-state operation. The University of São Paulo’s Cidade Universitária “Armando de Salles Oliveira” (CUASO) campus in São Paulo, Brazil, features an underground power distribution system. The Institute of Energy and Environment (IEE) leads the integration of several distributed generation (DG) sources, including a biogas plant, photovoltaic installations, and a small wind turbine, into one of the CUASO’s feeders, referred to as “USP-105”. Load-flow simulations were conducted using the PowerWorld TM Simulator v.23, considering the interconnection of these sources. This dataset provides comprehensive information and computational files utilized in the simulations. It serves as a valuable resource for reanalysis, didactic purposes, and the dissemination of technical insights related to DG implementation.

Keywords: dataset; load flow; power flow; distributed generation; biogas; photovoltaic; small wind (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
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