Dear Matpower community, I’m working on modulation of electric vehicle charging points connected to a distribution grid. My first aim is to guarantee the maximum available power for every charging station in a range between 43 and 129 kW. To implement this target the cost function for every charging point (that is modeled as a dispatchable load) should be decreasing with the power available to the charging point.
My second target is to try to nullify the reverse power flow from the distribution grid to the HV network. While doct. Zimmerman suggested to put a cost on the primary substation with the procedure explained here https://www.mail-archive.com/[email protected]/msg03440.html <https://www.mail-archive.com/[email protected]/msg03440.html>, I found easier and effective for the network I’m studying to add a constraint on the the slack bus with Pg>0 and a constant generator cost which value is: COSTslack = n*f(129) where n is the number of charging point and f the cost function of the single charging station. I would like to know if there is a way to guarantee with this cost functions that this solution is also the one with the minimum losses. I read the F.A.Q. on the subject and it states to put the same constant gencost on all the generators, so in my case I have to put the same costant gencost on the slack bus and on the charging points but doing so the maximum available power to the stations won’t be guaranteed. Any suggestions? Simone
