I am trying to do a simple example and I am New to GAMS.
I want to do a simple Power flow example in order to expand it later, i want GAMS to minimize the cost by choosing the cheapest generators.
My problem is that I want the load to change for every hour for my system, here is a 3 hour example and the error is marked in red.

Can you please help me and explain what i must do different?

HERE IS MY CODE:

$TITLE pflow

Set t hours per day / t1, t2, t3 / ;
parameters
L(t) Load for each
/t1 3
t2 5
t3 8/ ;
Scalar
Cost_diesel in â‚¬ per kWh / 2 /
Cost_pv in â‚¬ / 1.1 /

VARIABLES
*L(t),
X_g Diesel generator,
X_pv Domestic PV generation ,
Z Total cost of grid operation in â‚¬ per kWh for on hour;

EQUATIONS
Load_Balance Maintane a stable grid,
OBJ Objective equation total cost of grid operation in â‚¬ per kWh ;

Load_balance… X_g + X_pv -L(t) =E= 0 ;
149 Uncontrolled set entered as constant
OBJ… Z =E= (X_gCost_diesel) + (X_pvCost_pv);

Upper bounds
X_g.UP = 10 ;
X_pv.UP = 2 ;

Lower bounds
X_g.lo = 0 ;
X_pv.lo = 0 ;

Initial point
X_g.l = 0 ;
X_pv.l = 0 ;

Load(s).l = 0 ;

MODEL pflow / ALL / ;
OPTION LIMROW = 100;
OPTION LIMCOL = 100;

2014-10-16 12:44 GMT+02:00 Ivan Nordnes Dahlberg :

Hello!

I am trying to do a simple example and I am New to GAMS.
I want to do a simple Power flow example in order to expand it later, i want
GAMS to minimize the cost by choosing the cheapest generators.
My problem is that I want the load to change for every hour for my system,
here is a 3 hour example and the error is marked in red.

Can you please help me and explain what i must do different?

HERE IS MY CODE:

$TITLE pflow

Set t hours per day / t1, t2, t3 / ;
parameters
L(t) Load for each
/t1 3
t2 5
t3 8/ ;
Scalar
Cost_diesel in â‚¬ per kWh / 2 /
Cost_pv in â‚¬ / 1.1 /

VARIABLES
*L(t),
X_g Diesel generator,
X_pv Domestic PV generation ,
Z Total cost of grid operation in â‚¬ per kWh for on hour;

EQUATIONS
Load_Balance Maintane a stable grid,
OBJ Objective equation total cost of grid operation in â‚¬ per kWh ;

Load_balance… X_g + X_pv -L(t) =E= 0 ;
149 Uncontrolled set entered as constant
OBJ… Z =E= (X_gCost_diesel) + (X_pvCost_pv);

Upper bounds
X_g.UP = 10 ;
X_pv.UP = 2 ;

Lower bounds
X_g.lo = 0 ;
X_pv.lo = 0 ;

Initial point
X_g.l = 0 ;
X_pv.l = 0 ;

Load(s).l = 0 ;

MODEL pflow / ALL / ;
OPTION LIMROW = 100;
OPTION LIMCOL = 100;

I am trying to find weights of some methods’ s result for each observation. I have 62500 observations and 6 methods. I have the true value of the observation and my objective is to minimize the difference between true value and results of the weighted sum of methods. My positive variable is wij (i= observation, j=method) and summation of it should be equal to 1. I would like to find, for example, for first observation is w11, w12,w13,w14,w15,w16 son on.
I have tried this code but it does not work
option nlp=SNOPT;