A methodology to refine the technical losses calculation from estimates of non-technical losses

Abstract

This work proposes a methodology to improve the calculation of technical losses in power distribution networks using estimates of non-technical losses. The estimation procedure of non-technical losses is based on the history of energy consumption of consumers and on the results of field inspections. As motivation, we have the fact that the main methodologies to compute technical losses proposed in the literature do not consider the influence of non-technical losses, and hence are not very precise. The methodology here developed is very flexible, robust and can be applied even when the irregularities history maintained by the utility company is small. The clustering and sampling techniques used allow an estimation of technical losses closer to the real one.

Influence of Clandestine Connections on Energy Loss Evaluation in Electrical Distribution Networks

“…The methodology presented in Section 2 was applied at 16 electric power substations with unbalanced load (Donadel et al 2009) over 12 months. The feeders supply an urban/rural region, having different characteristics.…”

“…Such methodologies are based on typical daily load profiles for each kind of customer (divided in 24 steps), using a load flow tool. Adjusting the differences between the energy from the estimated load profile and the energy from the measured load profile (such a difference is named "nonbilled energy") was proposed, based on measurements performed in the peak load time, considering a uniform distribution of nonbilled energy (Meffe and de Oliveira 2009) and a nonuniform distribution of nonbilled energy (Donadel et al 2009). The latter one was based on estimations of illegal consumers -consumers who are recorded in the DNO's database and have a meter system provided by their DNO, but who tamper with it.…”

Optimal Placement of Distributed Generation Units in a Distribution System with Uncertain Topologies using Monte Carlo Simulation

“…The methodology presented in Section 2 was applied to two real distribution feeders with unbalanced load, from Donadel et al [51], which supplies a urban area and have a small length, large diameter conductors and high linear load density. Table 2 shows electrical characteristics about the simulated feeders.…”

Electrical distribution network operation with a presence of distributed generation units in a Pre Smart Grid environment using a clustering-based methodology

“…2.2 was applied to a real distribution feeder with unbalanced load, from [35]. The feeder (called "Feeder #1") supplies an urban/rural area and it has a high length, small diameter conductors and low linear load density.…”