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Re: [Help-glpk] FW: FW: Leap/OSeMOSYS
From: |
Xypron |
Subject: |
Re: [Help-glpk] FW: FW: Leap/OSeMOSYS |
Date: |
Fri, 18 Nov 2011 21:19:38 +0100 |
User-agent: |
Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.23) Gecko/20111010 Icedove/3.1.15 |
The following papers presumedly describe the algorithm used in plexos.
The plexos homepage
http://energyexemplar.com/
refers to
Robert PASICKO, Slavica ROBIC, Zeljko TOMSIC
MODELLING CO2 EMISSIONS IMPACTS ON CROATIAN POWER SYSTEM
http://energyexemplar.com/wp-content/uploads/publications/Pasicko,%20Robic,%20Tomsic%20-%20Modelling%20CO2%20emissions%20impacts%20on%20Croatian%20power%20system.pdf
refers to
Glenn Drayton, Michael McCoy, Mario Pereira, Edward Cazalet, Mary
Johannis, Dennis Phillips
Transmission Expansion Planning In The Western Interconnection – The
Planning Process and the Analytical Tools That Will Be Needed to do the Job
http://www.psr-inc.com/psr/download/papers/IEEE_final_draft_dwp_11-4-23-04.pdf
refers to
M. V. F. PEREIRAAN D L. M. V. G. PINTO
Stochastic Optimization of a Multireservoir Hydroelectric System : A
Decomposition Approach
http://www.cose.fee.unicamp.br/~dino/IT511/artigos/longo%20prazo/Stochastic_Optimization_of_a_Multireservoir_Hydroeletric_System_-_A_Decomposition_Approach.pdf
Best regards
Xypron
On 18.11.2011 20:16, Daniel Gustafson wrote:
Not sure if it is ok to address you with this issue, but I believe it
does not really fit into the help distribution list. My question is
just out of curiosity.
We are currently working on an open source energy model
www.OSeMOSYS.org, which is interlinked with an existing energy model
called LEAP (www.energycommunity.org). LEAP in its new version can
basically do optimization using OSeMOSYS and ultimately glpk. Some
users set up an energy model with hourly time slices throughout the
year, basically describing demand and generation for each and every
hour of the year for a period of several years. This creates huge
matices and glpk runs out of memory. Our colleagues tried then to use
plexus, which was able to solve the problem in 30 seconds, which seems
surprisingly short.
We were wondering what the main differences in the code are that
explain this discrepancy.
The glp_prob problem object used on api level requires additional memory
to store various auxiliary information used by glpk routines. For
example, one element of the constraint matrix (of double type) being
stored in glp_prob requires 32 bytes (on a 32-bit platform) rather than
8 bytes. Thus, an lp instance being stored in glp_prob takes about four
times more memory than if it were represented as a set of plain arrays,
and about ten times more memory in case if the lp preprocessor is used.
To estimate the amount of memory required by glpk please see
http://lists.gnu.org/archive/html/help-glpk/2008-07/msg00044.html .
The type of problem you describe--an hourly simulation of power system
operations--cannot normally be solved by a black-box LP engine except
for the smallest prototype cases. There are two reasons: the size of
the problem gets very large very quickly, and the nature of the
problem--repeated blocks of virtually-identical equations--often
exhibits degeneracy.
Fortunately, the techniques of decomposition, Dantzig-Wolfe and
Benders' Decomposition, work very well for this type of problem. There
are other idiosyncratic tricks and techniques that can be applied if
the structure of the problem can be further limited. Note that
decomposition is not an alternative to a simplex solver but rather
capitalizes on the structure of the problem to use the solver more
effectively.
Evidently the Plexos application implements some of these techniques
because Plexos requires the user to supply a simplex solver. The
techniques used by commercial vendors of power system analysis
applications are of course not well documented.
Also, in case there is a generic option to make glpk solve this
problem, apart from heavily adjusting the OSeMOSYS code, e.g., by
splitting up the problem somehow, please do let us know.
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