During the solving process in YALMIP, a certain constraint was bypassed without any error message, and an optimal solution was given, but the solution does not satisfy the aforementioned constraint.

[fishlovesoup]

I wrote a constraint in YALMIP, but during the solving process, this constraint was ignored without any error message, and an optimal solution was given. When I verified it, I found that the above constraint was ignored and did not function. I would like to know why this happened. Because in previous optimization processes, this problem has never occurred. If you could help me solve this problem, I would be very grateful. I am looking forward to your reply. Thank you very much.

[johanlofberg]

You would have to supply reproducible code, because there is no way that a constraint you have stated would not have been sent to the solver, i.e. there is a bug in your code (or you've missed this https://yalmip.github.io/faq/solutionviolated/)

[johanlofberg]

As I said, you would have to supply reproducible code (your code does not run as it is not pasted into a code block and is therefore butchered, and it uses external data)

[johanlofberg]

As I said, you have to use code blocks

bad and broken

y=10x

What you have to do (<>)

y = 10*x

Copy your code back to matlab and you will see that it is broken and does not run

[fishlovesoup]

Hello, my code has become garbled during the copy-pasting process. If possible, could you provide your email address so I can send it to you? Thank you for your response.

[johanlofberg]

Open a code block, paste into it. Done

[johanlofberg]

All constraints are satisfied (and not even close to being infeasible), as easily seen by giving them a name and check them after solving the problem

...
Qssconstraints = []
for t = 1:Horizon
    Qssconstraints = [Qssconstraints,10*P_D_Miss(t) - sum(P_G_PFR(:,t)) - sum(P_W_PFR(:,t)) -sum(P_CSP_PFR(:,t)) <= f_QSS*D*P_Load_total_Fore(t)];
end
constraints = [constraints,Qssconstraints ]
...
check(Qssconstraints)

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|    ID|               Constraint|   Primal residual|   Dual residual|
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|    #1|   Elementwise inequality|             222.8|             NaN|
|    #2|   Elementwise inequality|             2.664|             NaN|
|    #3|   Elementwise inequality|               156|             NaN|
|    #4|   Elementwise inequality|              2.56|             NaN|
|    #5|   Elementwise inequality|             206.6|             NaN|
|    #6|   Elementwise inequality|             2.508|             NaN|
|    #7|   Elementwise inequality|               200|             NaN|
|    #8|   Elementwise inequality|             2.456|             NaN|
|    #9|   Elementwise inequality|             145.6|             NaN|
|   #10|   Elementwise inequality|             2.456|             NaN|
|   #11|   Elementwise inequality|             163.5|             NaN|
|   #12|   Elementwise inequality|             2.508|             NaN|
|   #13|   Elementwise inequality|             166.4|             NaN|
|   #14|   Elementwise inequality|             2.664|             NaN|
|   #15|   Elementwise inequality|             197.6|             NaN|
|   #16|   Elementwise inequality|             2.976|             NaN|
|   #17|   Elementwise inequality|             326.2|             NaN|
|   #18|   Elementwise inequality|             3.262|             NaN|
|   #19|   Elementwise inequality|               344|             NaN|
|   #20|   Elementwise inequality|              3.47|             NaN|
|   #21|   Elementwise inequality|             327.3|             NaN|
|   #22|   Elementwise inequality|             3.574|             NaN|
|   #23|   Elementwise inequality|             317.5|             NaN|
|   #24|   Elementwise inequality|               3.6|             NaN|
|   #25|   Elementwise inequality|          274.8606|             NaN|
|   #26|   Elementwise inequality|             3.574|             NaN|
|   #27|   Elementwise inequality|               260|             NaN|
|   #28|   Elementwise inequality|               3.6|             NaN|
|   #29|   Elementwise inequality|               360|             NaN|
|   #30|   Elementwise inequality|               3.6|             NaN|
|   #31|   Elementwise inequality|             321.9|             NaN|
|   #32|   Elementwise inequality|             3.522|             NaN|
|   #33|   Elementwise inequality|             299.2|             NaN|
|   #34|   Elementwise inequality|             3.496|             NaN|
|   #35|   Elementwise inequality|             349.6|             NaN|
|   #36|   Elementwise inequality|             3.496|             NaN|
|   #37|   Elementwise inequality|             328.8|             NaN|
|   #38|   Elementwise inequality|             3.418|             NaN|
|   #39|   Elementwise inequality|             339.2|             NaN|
|   #40|   Elementwise inequality|             3.392|             NaN|
|   #41|   Elementwise inequality|             339.2|             NaN|
|   #42|   Elementwise inequality|             3.392|             NaN|
|   #43|   Elementwise inequality|             341.8|             NaN|
|   #44|   Elementwise inequality|             3.418|             NaN|
|   #45|   Elementwise inequality|               315|             NaN|
|   #46|   Elementwise inequality|             3.262|             NaN|
|   #47|   Elementwise inequality|             287.2|             NaN|
|   #48|   Elementwise inequality|             2.872|             NaN|
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
| A primal-dual optimal solution would show non-negative residuals.  |
| In practice, many solvers converge to slightly infeasible          |
| solutions, which may cause some residuals to be negative.          |
| It is up to the user to judge the importance and impact of         |
| slightly negative residuals (i.e. infeasibilities)                 |
| https://yalmip.github.io/command/check/                            |
| https://yalmip.github.io/faq/solutionviolated/                     |
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

[fishlovesoup]

Thank you. My junior female colleague and I have solved the problem together. Thank you for your help!!!