Article,
A New Approach for Sizing Stand Alone Photovoltaic Systems Based in Neural Networks
Solar Energy, (2005)
Abstract
Several methods for sizing stand alone photovoltaic (pv) systems
has been developed. The more simplistic are called intuitive methods.
They are a useful tool for a first approach in sizing stand alone
photovoltaic systems. Nevertheless they are very inaccurate. Analytical
methods use equations to describe the pv system size as a function
of reliability. These ones are more accurate than the previous ones
but they are also not accurate enough for sizing of high reliability.
In a third group there are methods which use system simulations.
These ones are called numerical methods. Many of the analytical methods
employ the concept of reliability of the system or the complementary
term: loss of load probability (LOLP). In this paper an improvement
for obtaining LOLP curves based on the neural network called Multilayer
Perceptron (MLP) is presented. A unique MLP for many locations of
Spain has been trained and after the training, the MLP is able to
generate LOLP curves for any value and location.
