How to define a binary variable as part of constraints in the optimization problem(fmincon)?
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Mehmet Türker TAKCI on 3 Feb 2022
I'm working on an optimization problem that optimizes the cost for a microgrid including Battery Storage Units. I used the fmincon function and wrote all constraints except the nonlinear inequalities c(x) which I indicated below. u_ch(t) is a binary variable and can be "1" when the battery is charging or be "0" when it is discharging. I need to know at which time the battery is charging or discharging so I need to calculate "u_ch(t)".
The problem is that I couldn't manage to define a binary variable in Matlab and use it for fmincon. P_Batt_charge(t) and P_Batt_disharge (t) are also decision variables. End of the optimization, I also need to calculate the values of them for each t. Is there any suggestion how can I write these constraints?
P_Batt_charge(t) ≤ 150kW*u_ch (t)
P_Batt_disharge (t)≤180kW*(1-u_ch) (t))
Alan Weiss on 4 Feb 2022
Edited: Alan Weiss on 4 Feb 2022
fmincon does not accept binary constraints, or any integer constraints. The only solvers that accept a nonlinear objective function or constraint function and integer constraints are ga and surrogateopt.
It is often possible to approximate the costs and constraints using linear objectives and constraints. If you can do that, you can use intlinprog as the solver. For an energy-related example, see Optimal Dispatch of Power Generators: Problem-Based.
MATLAB mathematical toolbox documentation