With the increase in reliance on solar energy to produce electricity, so many maximum power point
tracking techniques for photovoltaic panels were developed to maximize the produced energy and a lot of
these are well established in the literature.
These techniques vary in many aspects such as: simplicity,
convergence speed, digital or analogical implementation, required sensors, cost, range of effectiveness, as
well as in other aspects.
This paper presents a comparative study of ten widely-adopted mppt algorithms; their performance is
evaluated from energy point of view using the simulation tool (Matlab), considering different solar
irradiance variations. Also, an economic evaluation has been made to make a comparison according to
performance and cost, to determine the optimal choice.
This paper describes a general model of photovoltaic module. It can be used in all studies and researches
that focus on photovoltaic generator. The main advantage of this model is in using the general
specification of the module which is included in the datasheet.
Search is based on the first stage DC/DC in the solar photovoltaic system, where it
was appropriate to use Ripple Correlation Control method for tracking the maximum
power point of photovoltaic arrays. The technique takes advantage of the signal ri
pple,
which is automatically present in power converters, where the ripple is interpreted as a
perturbation from which a gradient ascent optimization can be realized. The Basic feature
of Ripple Correlation Control technique converges asymptotically at maximum speed to
the maximum power point, and has simple circuit implementations. And will validate the
results in practice.