18-05-2017, 02:02 PM
Dear Vsaini,
I just tested the impact of using Partial Load Efficiencies on the solution time. I used the India+Bangladesh model Anjana provided to me earlier, with 2 regions, 12 seasons, and 24 daily timeslices under each season.
First, I ran the model with just using ACT_MINLD on the coal power plant technologies. Second, I added partial load efficiencies for these processes, defined with ACT_LOSPL. The first model run had about 220,000 equations, and the second run about 230,000 equations.
The solve summaries are shown below:
__________________________________________________________________
S O L V E S U M M A R Y
MODEL TIMES OBJECTIVE OBJz
TYPE LP DIRECTION MINIMIZE
SOLVER CPLEX FROM LINE 47049
**** SOLVER STATUS 1 Normal Completion
**** MODEL STATUS 1 Optimal
**** OBJECTIVE VALUE 674909148.9309
RESOURCE USAGE, LIMIT 21.684 50000.000
ITERATION COUNT, LIMIT 99 550000
__________________________________________________________________
S O L V E S U M M A R Y
MODEL TIMES OBJECTIVE OBJz
TYPE LP DIRECTION MINIMIZE
SOLVER CPLEX FROM LINE 47049
**** SOLVER STATUS 1 Normal Completion
**** MODEL STATUS 1 Optimal
**** OBJECTIVE VALUE 674911478.3480
RESOURCE USAGE, LIMIT 24.804 50000.000
ITERATION COUNT, LIMIT 109 550000
__________________________________________________________________
As you can see, in this case using the Partial Load Efficiencies increased the solution time from 21.7 secs to 24.8 secs, i.e. about 14%, while the number of iterations increased from 99 to 109.
I am thus not able to see any large impact on the solution time.
I just tested the impact of using Partial Load Efficiencies on the solution time. I used the India+Bangladesh model Anjana provided to me earlier, with 2 regions, 12 seasons, and 24 daily timeslices under each season.
First, I ran the model with just using ACT_MINLD on the coal power plant technologies. Second, I added partial load efficiencies for these processes, defined with ACT_LOSPL. The first model run had about 220,000 equations, and the second run about 230,000 equations.
The solve summaries are shown below:
__________________________________________________________________
S O L V E S U M M A R Y
MODEL TIMES OBJECTIVE OBJz
TYPE LP DIRECTION MINIMIZE
SOLVER CPLEX FROM LINE 47049
**** SOLVER STATUS 1 Normal Completion
**** MODEL STATUS 1 Optimal
**** OBJECTIVE VALUE 674909148.9309
RESOURCE USAGE, LIMIT 21.684 50000.000
ITERATION COUNT, LIMIT 99 550000
__________________________________________________________________
S O L V E S U M M A R Y
MODEL TIMES OBJECTIVE OBJz
TYPE LP DIRECTION MINIMIZE
SOLVER CPLEX FROM LINE 47049
**** SOLVER STATUS 1 Normal Completion
**** MODEL STATUS 1 Optimal
**** OBJECTIVE VALUE 674911478.3480
RESOURCE USAGE, LIMIT 24.804 50000.000
ITERATION COUNT, LIMIT 109 550000
__________________________________________________________________
As you can see, in this case using the Partial Load Efficiencies increased the solution time from 21.7 secs to 24.8 secs, i.e. about 14%, while the number of iterations increased from 99 to 109.
I am thus not able to see any large impact on the solution time.