Dear Professor Zimmerman and Santiago,

I had the same problem that Santiago mentioned when I applied an
evolutionary algorithm to the static and dynamic transmission expansion
planning problem (TEP). The algorithm was based on local random search, so
many configurations from the solution space were analyzed. I realized that
some configuration didn’t converge the Matpower, and I was trying to find
out about this problem. 

For example, in the Garver test system I applied the evolutionary algorithm
to the static problem, and I obtained the attached configuration where MIPS
algorithm numerically failed. In the same way, I considered  virtual
generators (bus 2, 4 and 5). 

The MIPS algorithm don’t solve the DC-OPF problem for this configuration
“mpopt=mpoption; mpopt=mpoption('OPF_ALG',200,'VERBOSE',3);
rundcopf(garver_no_CV,mpopt);”. 

This problem occurs due to the initial point that the MIPS algorithm use. In
the MIPS solver, the initial point is obtained considering the average power
between the minimal and maximal power for each generator. When I changed the
initial point to the minimal power generation (x0=[0 0 0 0 0 0]), the MIPS
algorithm converges. 

I had conducted some proofs in order to determine some initial points where
the algorithm has convergence problems. I’ve divided each generator range,
so the MIPS algorithm can consider different initial points. I included
three analysis.

In first case, I divided the power range in 8 intervals for each generator,
so I can combine the power for each generator as initial point. The total
points that the algorithm must consider is 531 441 (9^6). For these points,
the MIPS algorithm doesn’t converge in 15 078 times (2.84%). In the second,
I divided in 9 intervals, so the total points is 10^6. In this case, the
MIPS algorithm doesn’t converge in 14 492 times (1.45%). Finally, I divided
in 10 intervals, so the total points is 11^6. In this case, the MIPS
algorithm doesn’t converge in 42 016 times (2.37%). I attached an excel file
where it’s possible to figure out the initial points that the MIPS algorithm
doesn’t converge considering 4 intervals. In the row 339, it’s possible to
see the initial point used by Matpower.

I had the same problem when I used the MIPS algorithm considering the power
generator as decision variable. The solution could be to consider another
initial point, but I’d like to study again the problem. 

I hope your comments and ideas about the analysis carried out.

Regards,

Víctor

 

 

De: [email protected]
[mailto:[email protected]] En nombre de Ray
Zimmerman
Enviado el: martes, 28 de mayo de 2013 11:34
Para: MATPOWER discussion forum
Asunto: Re: Reasons for non convergence of optimal power flows

 

Islands should not be a problem as long as there is a REF bus in the island
and the available generation is sufficient to meet the load in each island.
So (1) is a definite possibility, but (2) shouldn't be an issue.
Insufficient reactive power range to keep voltage magnitudes within range,
and overly restrictive branch flow limits could be other causes of an
infeasible OPF problem. Aside from things that can cause the problem to
actually be infeasible, there are also numerical issues that can affect
feasible problems. These can be the result of large ranges in parameters
(branch impedances, generator costs, etc.). In these cases, often a
different solver or algorithm may be able to solve the problem successfully.

 

Hope this helps,

 

-- 

Ray Zimmerman

Senior Research Associate

419A Warren Hall, Cornell University, Ithaca, NY 14853

phone: (607) 255-9645









 

On May 20, 2013, at 1:21 PM, Santiago Torres <[email protected]>
wrote:






Dear Ray, I my resarch work I am using many transmission topologies and also
I am using  ficticious generators in order to get optimal power convergence
for those different transmission topologies.  Using those artificial or
ficticious generators in all exclusive load buses is suposed to help for
convergence, however in practice I am getting some transmission
configurations that do not achieve convergence.

 

I am thinking in the following reasons:

 

1) Too strict power generation limits of ficticious generators.

 

2) Some topologies with islanded nodes.

 

Can you think in other reasons?

 

Islanded nodes is a non convergence cause in Matpower?

 

Best Regards,

 

Santiago


-- 

Dr.-Ing. Santiago Torres
IEEE Senior Member

Post-Doctoral Fellow
School of Electrical and Computer Engineering

 


University of Campinas, Campinas, SP, Brazil

http://www.dsee.fee.unicamp.br/
 
Albert Einstein, 400
13083-852, Campinas, SP, Brazil

 

Attachment: garver_no_CV.m
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Attachment: No_CV_analysis.xlsx
Description: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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