Assessment of the Technical Loss Calculation Method Used in Brazilian Distribution Systems

Barbosa, Tiago; Bonadia, Rodrigo S.; Torquato, Ricardo; Meira, Paulo C. M.; Bayma, Felipe; Freitas, Walmir; Lemes, Andre L.; Rodrigues, Luise O.; Gastaldi, A.; Freitas, Joao P. F. S.

doi:10.1109/tdla47668.2020.9326128

Cited by 4 publications

(1 citation statement)

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“…Numerous theoretical calculation methods to determine EL are found in the literature, such as in reference [4], [18]- [20] are well established. Numerical simulations of load flow over time intervals are commonly utilized to analyze EL precisely in distribution feeders [11], [14], [21]- [23]. Fuzzy logic [24], clustering algorithm [25], and machine learning [26] are examples of artificial intelligence techniques.…”

Section: Introductionmentioning

confidence: 99%

An efficient method for estimating energy losses in distribution's feeder

et al. 2023

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This paper explains a simple and efficient methodology for calculating monthly energy losses (EL) using the load loss factor technique and a representative composite load profile. One of the important benefits of the proposed work is a simpler, more efficient and less rigorous method to estimate the system-wide energy loss of an extensive distribution network with reasonable accuracy. The sum of all EL provided by each feeder section is used to calculate the total feeder EL. A base case feeder with a typical cable type and power factor is used to generate regression equations, a peak power loss function to estimate the EL. A case study is then used to show the models and techniques that have been established. The result indicates a high level of agreement with the time-series load flow simulations (smaller than 10% deviations). With this model, an approach to estimate the EL of all radial feeders of various configurations and characteristics could be extended and implemented. The spreadsheet approach is ideal for completing a quick energy audit of existing distribution feeder EL and determining the sensitivity of distribution network efficiency to changes in feeder sections and load characteristics.

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