GLPK Hydro Storage - 不可行性

GLPK Hydro Storage - Infeasibility

我正在尝试 fiddle 使用 GLPK 和 mathprog 语言。我正在尝试为水力存储实现一个简单的模型(只是涡轮机,没有泵)。但是我越来越不可行了。

浇灌过初始条件,这个应该是可行的。


代码如下:

set T;

#========================================================
# Time Series

# Price
param price{i in T};
# Inflow
param inflow{i in T};

#========================================================
# Unit description

param release_max>=0;
param release_min>=0;
param fill_max>=0;
param fill_min>=0;
param fill_start>=0;
param fill_end>=0;


#========================================================
# optimization variables
var release{i in T}>=0;
var fill{i in T}, >=fill_min, <=fill_max;

# objective: Maximize profit
maximize obj: sum{i in T} price[i] * release[i];
s.t. fill_current {i in T: i>1}: 
        fill[i] = fill[i-1] - release[i] + inflow[i];
s.t. fill_con_start {i in T: i=1}:
        fill[i] = fill_start;
s.t. fill_con_end {i in T: i=card(T)}:
        fill[i]>=fill_end;

solve;
data;

param release_max:=100;
param release_min:=0;
param fill_max:=10000;
param fill_min:=0;
param fill_start:=5000;
param fill_end:=5000;

param : T :   price    inflow :=
         0     15     150
         1     17     170
         2     18     180
         3     22     220
         4     55     550
         5     40     400
         6     65     650
         7     10     100
         8     12     120
         9      4     40
;
end;

这是输出:

GLPSOL: GLPK LP/MIP Solver, v4.55
Parameter(s) specified in the command line:
 --cover --clique --gomory --mir -m Hydro_test.mod
Reading model section from Hydro_test.mod...
Reading data section from Hydro_test.mod...
58 lines were read
Generating obj...
Generating fill_current...
Generating fill_con_start...
Generating fill_con_end...
Model has been successfully generated
GLPK Simplex Optimizer, v4.55
10 rows, 19 columns, 35 non-zeros
Preprocessing...
PROBLEM HAS NO DUAL FEASIBLE SOLUTION
Time used:   0.0 secs
Memory used: 0.1 Mb (102683 bytes)
>Exit code: 0    Time: 0.316

有人可以帮我吗?

傻就是傻:

我忘记限制释放参数并且索引有一些问题(例如初始填充级别分配得太晚等)。因此问题是无界的

objective 应该是这样的(见最后一行):

# objective: Maximize profit
maximize obj: sum{i in T} price[i] * release[i];
s.t. fill_current {i in T: i>0}: 
        fill[i] = fill[i-1] - release[i] + inflow[i];
s.t. fill_con_start {i in T: i=0}:
        fill[i] = fill_start;
s.t. fill_con_end {i in T: i=card(T)-1}:
        fill[i]>=fill_end;
s.t. release_current {i in T}:
        release_max>=release[i]>=release_min;