Hello. Could someone please explain how is the provided genetic algorithm supposed to be used? I had a look at the code but couldn’t understand how to activate it (unlike the other algorithms, there is no controller for it) and what fitness or cost functions there are. Is it the same algorithm talked about at the OpenEMS Conference in November 2024, which this blog post mentions? Is it a real-time algorithm, such the Symmetric Ess Balancing controller?
Could you also explain how to use the Time-of-Use Controller? As far as I’ve understood, it is the only controller capable to leverage one of the available predictors. Is it correct? What I would like to achieve is using future predictions of consumption and productions from non-programmable DERs (such as PV panel and wind turbine) to determine the best values of the programmable DERs’ set-points (such as the ESS or the grid meter) in the present, or beforehand anyway. How can this be done?
Is there a relationship between the genetic algorithm and the Time-of-Use Controller? According to this post it seems there is, but it is not clear to me.
I don’t want to bother anyone with too many questions, but I could’t find the information I’m looking for anywhere and I’m highly interested in the topic.
Thanks in advance,
Fabio