Methodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities

Marco Toledo-Orozco (), Diego Morales Jadán, Sebastián Arévalo Lozado and Carlos Álvarez Bel
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Marco Toledo-Orozco: Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, Edificio 8E, Escalera F, 5a Planta, 46022 Valencia, Spain
Diego Morales Jadán: Electrical Engineering Career, Circular Economy Laboratory-CIITT, Universidad Católica de Cuenca, Cuenca 010107, Ecuador
Sebastián Arévalo Lozado: Electrical Engineering Career, Circular Economy Laboratory-CIITT, Universidad Católica de Cuenca, Cuenca 010107, Ecuador
Carlos Álvarez Bel: Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, Edificio 8E, Escalera F, 5a Planta, 46022 Valencia, Spain

Energies, 2024, vol. 17, issue 18, 1-24

Abstract: This research uses data analysis and mining techniques to determine the technological expansion of measurement systems in a public service company. It integrates technical, economic, geographic, and social variables into the analysis using machine learning techniques to discover patterns and relationships in large data sets. The fuzzy logic methodology is applied using the MATLAB programming tool “Fuzzy Logic” to build algorithms that allow for the correct selection of measurement, achieving greater efficiency and precision in the assignment of meter types. The results show that 98% of the metering systems in the significant part are electronic meters, with the “Residential BT” rate being the most extensive data set. Implementing the “fuzzy logic” technique recognizes that more than 60% of the meters are electronic, with the registration of active energy, reactive energy, and demand, allowing for greater control over the marketing variables of the distribution system operator. This research suggests that a future restructuring of electrical metering systems benefits the company and its users. By applying the analysis, a portfolio of viable projects for the replacement of measurement systems is obtained, and they are grouped into two clusters based on the total cost of the technological change.

Keywords: fuzzy logic; distribution systems; advance metering infrastructure; planning; measurement systems (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: 2024
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