To visualize what I think you mean, let me make up a plot of CP with wind speed for a typical wind turbine (OK, it's actually mine).
And you're looking for a way to get the last bits out of the power curve using the control algorithm.
Push up the CP at low wind speeds to capture more energy in light winds, and raise the peak as much as possible.
I don't believe it's wise to have the control algorithm trying to push out the top end of the power curve, because it's the furling tail that's limiting the output there. If the tail didn't furl, the CP curve would just continue out asymptotically to the Betz limit, for a while, until the machine blows up, that is.
Designing a WT for any load control scheme like MPPT works best if the generator is over-sized for the blades. This way, the control scheme can reduce the effectiveness of the generator to match the energy capture of the blades.
The opposite is needed when using mechanical control like blade pitch, which reduces the effectiveness of the blades so as not to overwhelm a generator working at its maximum efficiency, or preferably, tune the blades so that they work at their maximum efficiency.
You're talking about the first kind of control scheme, of course.
You will need feedback to make this work. The latency and randomness in wind is awful, just the worst kind of system to derive feedback from. I might start with current from a reliable and rapidly sampled ammeter, first. You need an accurate and quickly responding ammeter. The response from each step-wise change in the PWM buck-boost circuit will be instantaneous, and this instantaneous response will be too quick to include a response from the WT blades right away. Which is good because the blades are probably doing something random, as usual. It will take many cycles later for the WT to change speed, and in the meantime the algorithm can monitor the trend in the current after each adjustment. The first change in the current after altering the PWM duty will be the obvious proportional change to the average current load. The trend immediately after that will indicate if the response of the WT is going in the right direction.
If I wanted to try something like this, and I was doing it DIY by myself, I wouldn't want to make the computer too smart. I'd just want it to make some adjustments and record what the responses were. Later I could analyze the results myself and determine if each change was an improvement or not. Then make each improvement the new norm for the PWM control and try it again. At some point this is going to sound a lot like manually building a MPPT curve for this turbine's characteristics.
The close coupling between the PWM duty cycle and the resulting average current trend seem to make them natural partners for this tracking scheme. How would you want to do it based on an anemometer alone?
You definitely need the anemometer to be as close to the turbine as possible, without actually being in its wake, or the wake of the tower.