Model for losses calculation and breakdown in distribution systems

Ferreyra, Rubén; Paoletich, P.J.

doi:10.1049/cp:20010898

Cited by 7 publications

(3 citation statements)

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“…A calculation method depends on the availability of measured data. In most countries, technical losses are calculated "ex-post" by the voltage levels [5], [7]. At voltage levels, where each measurement site has a continuous measurement, losses are calculated hourly based on the obtained readings.…”

Section: Losses In LV Distribution Networkmentioning

confidence: 99%

“…For their assessment, either analytical computation or measurement methods are used [5]. Analytical computing assumes the knowledge of the equivalent scheme for various network elements; their physical properties and temporal changes of electrical quantities (currents, voltages) in current facilities, while measuring methods require measuring equipment, its installation (calibration, configuration) and regular reading [6]- [7]. In order to correctly predict the losses for future facilities within a distribution network, it is necessary to use both methods and their individual advantages.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks

Mlakić¹,

Nikolovski²,

Knežević³

2016

IJECE

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The losses in distribution networks have always been key elements in predicting investment, planning work, evaluating the efficiency and effectiveness of a network. This paper elaborates on the use of fuzzy logic systems in analyzing the data from a particular substation area predicting losses in the low voltage network. The data collected from the field were obtained from the Automatic Meter Reading (AMR) and Automatic Meter Management (AMM) systems. The AMR system is fully implemented in EPHZHB and integrated within the network infrastructure at secondary level substations 35/10kV and 10(20)/0.4 kV. The AMM system is partially implemented in the areas of electrical energy consumers; precisely, in accounting meters. Daily information gathered from these systems is of great value for the calculation of technical and non-technical losses. Fuzzy logic in combination with the Artificial Neural Networks implemented via the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used. Finally, FIS Sugeno, FIS Mamdani and ANFIS are compared with the measured data from smart meters and presented with their errors and graphs.

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Section: Losses In LV Distribution Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks

Mlakić¹,

Nikolovski²,

Knežević³

2016

IJECE

View full text Add to dashboard Cite

show abstract

“…Attempts are made to differentiate technical losses from the total one, using different indexes (Ferreyra, Paoletich, 2001). However, until know there has not been any complete, objective, systematic study or valid statistical sample by any distribution utility to calculate and locate the non-technical losses, and as a result to reduce the revenue lost.…”

Section: 3 Lossesmentioning

confidence: 99%