LOSS ESTIMATION IN LV CIRCUITS USING INTELLIGENT TECHNIQUES - THE RGE EXPERIENCE Carlos César Barioni de Oliveira Enerq/USP André Méffe Enerq/ USP Hernán Prieto Schmidt Enerq/ USP Mauro Augusto da Rosa RGE

Objectives Determining types of LV circuits representing all of the utility´s LV circuits by means of: Attributes: (1) distribution transformer rated power (kVA), (2) transformer type, (3) rated voltage (kV) and (4) type of circuit location (urban or rural). Typical daily load curves for each consumer class and consumption range Developing techniques and tools to classify a specific network for one of the pre-set types of LV circuits. Estimating losses in LV circuits whose topological data is unknown.

Classification Process Out of 50.000 networks, 187 representative networks were selected. Besides the data available from Data Bases, the network topological information was obtained. 50.000 LV circuits: Type of transformer Type of area Rated power Rated voltage 187 networks: Loss coefficient Network length

Classification techniques and tools Classification techniques (Hierarchical and Self Organizing Map-SOM), allowed grouping the sampled networks into categories having similar attributes. Upon comparison of both techniques, the Hierarchical Classification technique proved to be more appropriate for the objective of this study

LV Network Modelling The LV network analysis is based on the losses coefficient (LC) and average length (L) of the corresponding representative network. The losses daily curve is then obtained from the transformer daily load curve:

Load model validation

Computational Tool

Computational Tool

Conclusions New methodology for estimating demand and energy losses in LV circuits - reduced set of circuits and the extrapolation of some parameters (loss coefficient and circuit length) to the whole LV circuit population It overcomes the lack of information normally associated with such circuits.