Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices

Paulo Vitor Grillo de Souza, José Maria de Carvalho Filho, Daniel Furtado Ferreira, Jacques Miranda Filho, Homero Krauss Ribeiro Filho and Natanael Barbosa Pereira
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Paulo Vitor Grillo de Souza: Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, MG 37500-903, Brazil
José Maria de Carvalho Filho: Institute of Electrical Systems and Energy, Federal University of Itajubá, Itajubá, MG 37500-903, Brazil
Daniel Furtado Ferreira: Statistics Department, Federal University of Lavras, Lavras, MG 37200-000, Brazil
Jacques Miranda Filho: Electrotechnical Coordination, Federal Institute of Espírito Santo, Vitória, ES 29040-780, Brazil
Homero Krauss Ribeiro Filho: Transmissora Aliança de Energia Elétrica S.A—TAESA, Brasília, DF 70385-080, Brazil
Natanael Barbosa Pereira: Energias de Portugal—EDP, São José dos Campos, SP 12210-010, Brazil

Energies, 2020, vol. 14, issue 1, 1-17

Abstract: This paper proposes a methodology for establishing base values for short-term voltage variation indices. The work is focused on determining which variables best describe the disturbance and based on that, establish clusters that allow a more adequate definition of base values for the indices. To test the proposed methodology, real data from 19 distribution systems belonging to a Brazilian electricity utility were used and consequently the index presented in the country standard was considered. This study presents a general methodology that can be applied to all distribution systems in Brazil and could serve as a guide for the regulatory agencies in other countries, to establish base values for their indices. Furthermore, the objective is to show through the results that, with the database used is possible to establish clusters of distribution systems related to the voltage sag and with these establish a base impact factor, distinct for each distribution system.

Keywords: power quality; voltage sag; clustering analysis; index (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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