Analysis of distribution system losses due to harmonics in IESCO

Ali, Basit; Khan, Abdul Attayyab; Siddique, Imran

doi:10.1109/iciafs.2018.8913382

Cited by 5 publications

(2 citation statements)

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“…The 30-days EL (in MWh) can be estimated for each 𝑖 𝑡ℎ feeder section based on its PPL, LsF and the period for 1 month [35], as shown in (10). In (11) calculates the LsF based on the feeder section's LF and LsF coefficient, 𝛼.…”

Section: Feeder Energy Losses Estimationmentioning

confidence: 99%

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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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Section: Feeder Energy Losses Estimationmentioning

confidence: 99%

“…EL also contribute to excessive emissions of greenhouse gases (GHG), provided that they have been entirely generated from fossil fuels power plants [1], [7]- [9]. Thus, the economics of the distribution network is dependent on the assessment of technical [10]. This is due to the fact that lowering losses lowers CO2 emissions [11].…”

Section: Introductionmentioning

confidence: 99%