I have the following:

"

```
cvx_begin
variable x(26282);
minimize( transpose(A)*x*x(26282) + x(26281)*BattPrice );
subject to
x(1:8760,1) == elecdemand + x(8761:17520,1) - PVpower %power balance eqn
x(8761:17520) <= Pmax*(x(26281)/7.2); %Pbatt <= Pmax
x(8761:17520) >= Pmin*(x(26281)/7.2); %Pbatt <= Pmin
x(17521,1) == 0.5*x(26281); %setting initial battery capacity to half of battery capacity
for k = linspace(17521,26279,8759)
x(k+1) <= x(k) + ( x(k-8760) - BattLoss*abs(x(k-8760)) );
x(k+1) >= SOCmin*x(26281); %x(26281,1) is the BattCap
x(k+1) <= SOCmax*x(26281);
end
x(1:8760) >= -10 %minimum Pgrid is -10kW (setting a limit on power fed back to grid)
x(26282)*norm(x(8761:17520),1)<=8000*x(26281);
cvx_end
```

"

I believe the problem lies in 2 areas:

the objective: minimize(transpose(A)*x*x(26282) + x(26281)*BattPrice)

one of the constraints: x(26282)*norm(x(8761:17520),1)<=8000*x(26281)

I got the following error message:

"

Error using .* (line 262)

Disciplined convex programming error:

Invalid quadratic form(s): not a square.

Error in * (line 36)

z = feval( oper, x, y );

Error in convexproject_cycleconstraint (line 108)

minimize( transpose(A)*x*x(26282) + x(26281)*BattPrice );

"

How do I go about this error if I would like to keep that constraint on x(26282)?