The growing gap between electric power generated and that demanded is of utmost concern especially in developing economy, hence calling for measures to argument the existing power generated of which DG is a more viable aspect to explore in curtailing this challenges; although been confronted with issue of location and sizing. This research applied Adaptive neuro fuzzy logic technique to optimize DG location and size. A 24 bus radial network was used to demonstrate this process and having a su...
Fuzzy logic, being a very robust artificial intelligence technique, was employed to forecast short term load in this work. The algorithm was demonstrated with the help of seven months average daily load data collected from Power Holding Company of Nigeria (PHCN). The outcome realized from the model or simulation illustrate that the projected forecasting technique, which propose the use of weather alteration such as temperature and humidity, gives load forecasting results with substantial prec...
The growing concern for the need to reduce the gap between power generated and power consumed in Nigeria is on the increase. Many measures and policy have been geared by Nigeria Electricity Regulatory Commission and Ministry of Power to revamp the generation aspect of the country power sector but the impact is yet to be felt as the amount of power still generated is far below par compared to other countries. Nigeria average power generation stands at an average of 5800 MW. With the call to...
