Based on the wind data recorded over a six year period (2007 to 2012) as observed in the main meteorological station of the Garoua International airport, an assessment of the wind potential has been performed by means of the Weibull Probability Density Function (PDF) with two parameters. The maximum likelihood estimation method (MLE) was used to estimate the dimensionless Weibull shape parameter k, and the Weibull scale parameter C. The maximum wind power density extracted by the blades as well as the useful average hydraulic power output and the daily water production of the hypothetic windmill were determined in order to forecast applications in the north region of Cameroon such as providing domestic water, watering farm animals and small scale irrigation.

In this paper, solutions to both practical and theoretical problems of reducing electrical energy losses in a distribution network using photovoltaic (PV) source are proposed. Two aspects of the problem are considered: the optimum choice of the cables and the Technique of Load Distribution Centre (TLDC). These solutions are applicable to any distribution network. However, the TLDC is mostly used for renewable energy sources, particularly for PV networks. It consists to determine the centroid of the system made up of supplied energy points weighted by the power rating of the various electrical loads. The method was applied to a mini-photovoltaic power generator located in Nganha (7°25'59"N, 13°55'59"E) in the Adamawa region of Cameroon. Results showed that, up to 39 % of joule losses are reduced by making a good choice of cables, while the combination of the two methods gives a reduction of 54 % in the distribution network.