How can I minimize absolue value in a power optimprob?

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Danny
Danny on 21 Oct 2021
Commented: Matt J on 21 Oct 2021
Hi everybody,
I'm studying a power optimprob which involves a microgrid composed by a PV system, an energy storage, loads and an EV. It is summed up as a big node in which I assume absorbed power is negative (i.e. loads) and generated power is positive (i.e PV), so that I have power balance as:
Ppv+Pbatt+Pev+Pload=Pgrid
where Pg is the power flow delivered from (or to) the main grid. The objective is to minimize the integral of Pgrid abs value, so that the power exchanges beetween the main grid and the power grid are minimized, while the control variables are Pbatt and Pev; Ppv and Pload are fixed.
After the setting of constraints , how can I formulate this problem? How can I define my objective function? Have I to set Pgrid too as an optimvar? And how should I treat abs value?
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Danny
Danny on 21 Oct 2021
Hi @Rik,
thanks for your suggestions. My problem sounds like a variant of this Matlab example: https://it.mathworks.com/matlabcentral/fileexchange/73139-microgrid-energy-management-system-ems-using-optimization?s_tid=srchtitle&#examples_tab. In my specific case, I would like to find Pbatt and Pev profiles (subject to power and energy constraints) in order to minimize abs value of Pgrid.

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Accepted Answer

Matt J
Matt J on 21 Oct 2021
Edited: Matt J on 21 Oct 2021
The objective is to minimize the integral of Pgrid abs value... while the control variables are Pbatt and Pev; Ppv and Pload
If your unknown vector is x=[Pbatt;Pev; Ppv; Pload] then your problem sounds like the L1-norm minimization,
where C is just C=[1;1;1;1] and C*x=Pgrid.
If I've interpreted correctly, then minL1lin is applicable
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