Optimum Scheduling | Power Systems - Electrical Engineering (EE) PDF Download

Download, print and study this document offline
Please wait while the PDF view is loading
 Page 1


9 OPTIMUM SCHEDULING OF SYSTEM LOAD BETWEEN PLANTS 
   -  SOLUTION PROCEDURE 
 
To determine the optimum scheduling of system load between plants, the 
data required are i) system load,  ii) incremental cost characteristics of the 
plants and iii) loss coefficient matrix. The iterative solution procedure is: 
Step 1  
For the first iteration, choose suitable initial value of ?. While finding this, 
one way is to assume that the transmission losses are zero and the plants 
are loaded equally. 
Step 2 
Substitute the value of ? into the coordination equations 
?
P
P
?
P d
C d
i
L
i
i
=
?
?
+         i = 1,2,………..,N  
i.e.  ? P B 2 ? ) ß P a 2 (
n
N
1 n
mn i i i
= + +
?
=
       i = 1,2,………..,N   
The above set of linear simultaneous equations are to be solved for the 
values s P
'
i
 by some efficient means. Gauss Seidel method is 
recommended.  
Page 2


9 OPTIMUM SCHEDULING OF SYSTEM LOAD BETWEEN PLANTS 
   -  SOLUTION PROCEDURE 
 
To determine the optimum scheduling of system load between plants, the 
data required are i) system load,  ii) incremental cost characteristics of the 
plants and iii) loss coefficient matrix. The iterative solution procedure is: 
Step 1  
For the first iteration, choose suitable initial value of ?. While finding this, 
one way is to assume that the transmission losses are zero and the plants 
are loaded equally. 
Step 2 
Substitute the value of ? into the coordination equations 
?
P
P
?
P d
C d
i
L
i
i
=
?
?
+         i = 1,2,………..,N  
i.e.  ? P B 2 ? ) ß P a 2 (
n
N
1 n
mn i i i
= + +
?
=
       i = 1,2,………..,N   
The above set of linear simultaneous equations are to be solved for the 
values s P
'
i
 by some efficient means. Gauss Seidel method is 
recommended.  
Step 3 
Compute the transmission loss P
L
  from   P
L
 =  [ P ]  [ B ] [ P
t 
]  
where  [ P ]  =  [ 
N 2 1
.P .......... P P ]  and  [ B ] is the loss coefficient matrix. 
Step 4 
Compare  
?
=
N
1 i
i
P  with P
D
 + P
L
  to check the power balance. If the power 
balance is satisfied within a specified tolerance, then the present solution 
is the optimal solution; otherwise update the value of  ?. is the optimal solution; otherwise update the value of  ?. 
 
First time updating can be done judiciously. Value of  ? is increased or 
decreased by about  5%  depending on  
?
=
N
1 i
i
P  < < < <   P
D
 + P
L
      or     
?
=
N
1 i
i
P   > > > >  P
D
 + P
L
       
In the subsequent iterations, using linear interpolation, value of ? can be 
updated as 
Page 3


9 OPTIMUM SCHEDULING OF SYSTEM LOAD BETWEEN PLANTS 
   -  SOLUTION PROCEDURE 
 
To determine the optimum scheduling of system load between plants, the 
data required are i) system load,  ii) incremental cost characteristics of the 
plants and iii) loss coefficient matrix. The iterative solution procedure is: 
Step 1  
For the first iteration, choose suitable initial value of ?. While finding this, 
one way is to assume that the transmission losses are zero and the plants 
are loaded equally. 
Step 2 
Substitute the value of ? into the coordination equations 
?
P
P
?
P d
C d
i
L
i
i
=
?
?
+         i = 1,2,………..,N  
i.e.  ? P B 2 ? ) ß P a 2 (
n
N
1 n
mn i i i
= + +
?
=
       i = 1,2,………..,N   
The above set of linear simultaneous equations are to be solved for the 
values s P
'
i
 by some efficient means. Gauss Seidel method is 
recommended.  
Step 3 
Compute the transmission loss P
L
  from   P
L
 =  [ P ]  [ B ] [ P
t 
]  
where  [ P ]  =  [ 
N 2 1
.P .......... P P ]  and  [ B ] is the loss coefficient matrix. 
Step 4 
Compare  
?
=
N
1 i
i
P  with P
D
 + P
L
  to check the power balance. If the power 
balance is satisfied within a specified tolerance, then the present solution 
is the optimal solution; otherwise update the value of  ?. is the optimal solution; otherwise update the value of  ?. 
 
First time updating can be done judiciously. Value of  ? is increased or 
decreased by about  5%  depending on  
?
=
N
1 i
i
P  < < < <   P
D
 + P
L
      or     
?
=
N
1 i
i
P   > > > >  P
D
 + P
L
       
In the subsequent iterations, using linear interpolation, value of ? can be 
updated as 
 
 
 
 
 
 
 
?
? ?
= -
-
+
- +
-
-
+ =
N
1 i
k
i
k
L D
N N
1 k
i
k
i
1 k k
k 1 k
] P P P [
P P
? ?
? ?                                           (41) 
?
k
i
P 
?
-1 k
i
P 
1 k
?
+
 
1 k
?
-
 
k
? 
P
D
 + P
L
k 
? ?
= =
-
1 i 1 i
i i
P P
Here  k-1,  k  and  k+1  are the previous iteration count, present iterative 
count and the next iteration count respectively. 
Step 5 
Return to Step 2  and continue the calculations of Steps 2, 3 and 4 until the 
power balance equation is satisfied with desired accuracy. 
 
The above procedure is now illustrated through an example. 
Page 4


9 OPTIMUM SCHEDULING OF SYSTEM LOAD BETWEEN PLANTS 
   -  SOLUTION PROCEDURE 
 
To determine the optimum scheduling of system load between plants, the 
data required are i) system load,  ii) incremental cost characteristics of the 
plants and iii) loss coefficient matrix. The iterative solution procedure is: 
Step 1  
For the first iteration, choose suitable initial value of ?. While finding this, 
one way is to assume that the transmission losses are zero and the plants 
are loaded equally. 
Step 2 
Substitute the value of ? into the coordination equations 
?
P
P
?
P d
C d
i
L
i
i
=
?
?
+         i = 1,2,………..,N  
i.e.  ? P B 2 ? ) ß P a 2 (
n
N
1 n
mn i i i
= + +
?
=
       i = 1,2,………..,N   
The above set of linear simultaneous equations are to be solved for the 
values s P
'
i
 by some efficient means. Gauss Seidel method is 
recommended.  
Step 3 
Compute the transmission loss P
L
  from   P
L
 =  [ P ]  [ B ] [ P
t 
]  
where  [ P ]  =  [ 
N 2 1
.P .......... P P ]  and  [ B ] is the loss coefficient matrix. 
Step 4 
Compare  
?
=
N
1 i
i
P  with P
D
 + P
L
  to check the power balance. If the power 
balance is satisfied within a specified tolerance, then the present solution 
is the optimal solution; otherwise update the value of  ?. is the optimal solution; otherwise update the value of  ?. 
 
First time updating can be done judiciously. Value of  ? is increased or 
decreased by about  5%  depending on  
?
=
N
1 i
i
P  < < < <   P
D
 + P
L
      or     
?
=
N
1 i
i
P   > > > >  P
D
 + P
L
       
In the subsequent iterations, using linear interpolation, value of ? can be 
updated as 
 
 
 
 
 
 
 
?
? ?
= -
-
+
- +
-
-
+ =
N
1 i
k
i
k
L D
N N
1 k
i
k
i
1 k k
k 1 k
] P P P [
P P
? ?
? ?                                           (41) 
?
k
i
P 
?
-1 k
i
P 
1 k
?
+
 
1 k
?
-
 
k
? 
P
D
 + P
L
k 
? ?
= =
-
1 i 1 i
i i
P P
Here  k-1,  k  and  k+1  are the previous iteration count, present iterative 
count and the next iteration count respectively. 
Step 5 
Return to Step 2  and continue the calculations of Steps 2, 3 and 4 until the 
power balance equation is satisfied with desired accuracy. 
 
The above procedure is now illustrated through an example. 
EXAMPLE 4 
Consider a power system with two plants having incremental cost as 
MWh / Rs 200 P 1.0 IC
1 1
+ =               MWh / Rs 150 P 1.0 IC
2 2
+ = 
Loss coefficient matrix is given by   B  =  
?
?
?
?
?
?
-
-
0.0024 0.0005
0.0005 0.001
 
Find the optimum scheduling for a system load of 100 MW. 
 
SOLUTION 
Assume that there is no transmission loss and the plants are loaded Assume that there is no transmission loss and the plants are loaded 
equally. Then MW 50 P
1
= . Initial value of  ? =  ( 1.0 x 50 ) + 200 = 250 Rs / 
MWh. 
Coordination equations: 
250 ) P 0.0048 P 0.001 (  250 150 P 1.0
250 ) P 0.001 P 0.002 ( 250 200 P 1.0
2 1 2
2 1 1
= + - + +
= - + +
 
i.e.  50 P 0.25 P 1.5
2 1
= -       i.e.    
2 1
P 0.1667 33.3333 P + = 
        100 P 2.2 P 0.25
2 1
= + -                
1 2
P 0.1136 45.4545 P + = 
These equations are solved by Gauss Seidel method. 
Page 5


9 OPTIMUM SCHEDULING OF SYSTEM LOAD BETWEEN PLANTS 
   -  SOLUTION PROCEDURE 
 
To determine the optimum scheduling of system load between plants, the 
data required are i) system load,  ii) incremental cost characteristics of the 
plants and iii) loss coefficient matrix. The iterative solution procedure is: 
Step 1  
For the first iteration, choose suitable initial value of ?. While finding this, 
one way is to assume that the transmission losses are zero and the plants 
are loaded equally. 
Step 2 
Substitute the value of ? into the coordination equations 
?
P
P
?
P d
C d
i
L
i
i
=
?
?
+         i = 1,2,………..,N  
i.e.  ? P B 2 ? ) ß P a 2 (
n
N
1 n
mn i i i
= + +
?
=
       i = 1,2,………..,N   
The above set of linear simultaneous equations are to be solved for the 
values s P
'
i
 by some efficient means. Gauss Seidel method is 
recommended.  
Step 3 
Compute the transmission loss P
L
  from   P
L
 =  [ P ]  [ B ] [ P
t 
]  
where  [ P ]  =  [ 
N 2 1
.P .......... P P ]  and  [ B ] is the loss coefficient matrix. 
Step 4 
Compare  
?
=
N
1 i
i
P  with P
D
 + P
L
  to check the power balance. If the power 
balance is satisfied within a specified tolerance, then the present solution 
is the optimal solution; otherwise update the value of  ?. is the optimal solution; otherwise update the value of  ?. 
 
First time updating can be done judiciously. Value of  ? is increased or 
decreased by about  5%  depending on  
?
=
N
1 i
i
P  < < < <   P
D
 + P
L
      or     
?
=
N
1 i
i
P   > > > >  P
D
 + P
L
       
In the subsequent iterations, using linear interpolation, value of ? can be 
updated as 
 
 
 
 
 
 
 
?
? ?
= -
-
+
- +
-
-
+ =
N
1 i
k
i
k
L D
N N
1 k
i
k
i
1 k k
k 1 k
] P P P [
P P
? ?
? ?                                           (41) 
?
k
i
P 
?
-1 k
i
P 
1 k
?
+
 
1 k
?
-
 
k
? 
P
D
 + P
L
k 
? ?
= =
-
1 i 1 i
i i
P P
Here  k-1,  k  and  k+1  are the previous iteration count, present iterative 
count and the next iteration count respectively. 
Step 5 
Return to Step 2  and continue the calculations of Steps 2, 3 and 4 until the 
power balance equation is satisfied with desired accuracy. 
 
The above procedure is now illustrated through an example. 
EXAMPLE 4 
Consider a power system with two plants having incremental cost as 
MWh / Rs 200 P 1.0 IC
1 1
+ =               MWh / Rs 150 P 1.0 IC
2 2
+ = 
Loss coefficient matrix is given by   B  =  
?
?
?
?
?
?
-
-
0.0024 0.0005
0.0005 0.001
 
Find the optimum scheduling for a system load of 100 MW. 
 
SOLUTION 
Assume that there is no transmission loss and the plants are loaded Assume that there is no transmission loss and the plants are loaded 
equally. Then MW 50 P
1
= . Initial value of  ? =  ( 1.0 x 50 ) + 200 = 250 Rs / 
MWh. 
Coordination equations: 
250 ) P 0.0048 P 0.001 (  250 150 P 1.0
250 ) P 0.001 P 0.002 ( 250 200 P 1.0
2 1 2
2 1 1
= + - + +
= - + +
 
i.e.  50 P 0.25 P 1.5
2 1
= -       i.e.    
2 1
P 0.1667 33.3333 P + = 
        100 P 2.2 P 0.25
2 1
= + -                
1 2
P 0.1136 45.4545 P + = 
These equations are solved by Gauss Seidel method. 
2 1
P 0.1667 33.3333 P + =                
1 2
P 0.1136 45.4545 P + = 
Iteration count 
1
P 
2
P 
0 0 0 
1 33.3333 49.2411 
2 41.5418 50.1736 
3 41.6972 50.1913 
4 41.7002 50.1916 
  
[ ]
?
?
?
?
?
?
?
?
?
?
?
?
-
-
=
50.1916
41.7002
0.0024 0.0005
0.0005 0.001
50.1916 41.7002 P
L
 
     = [ ]
?
?
?
?
?
?
0.09961
0.01660
50.1916 41.7002   =  5.6918 MW 
MW 91.8918 P P
2 1
= +                   MW 105.6918 P P
L D
= + 
Since 
2 1
P P + <
L D
P P + ,  ? value should be increased.  It is increased by 4 %. 
New value of  ? = 250 x 1.04  =  260 Rs / MWh.  
Read More
21 videos|67 docs|45 tests

Top Courses for Electrical Engineering (EE)

21 videos|67 docs|45 tests
Download as PDF
Explore Courses for Electrical Engineering (EE) exam

Top Courses for Electrical Engineering (EE)

Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Related Searches

study material

,

Previous Year Questions with Solutions

,

ppt

,

Extra Questions

,

video lectures

,

Sample Paper

,

practice quizzes

,

Viva Questions

,

shortcuts and tricks

,

past year papers

,

Optimum Scheduling | Power Systems - Electrical Engineering (EE)

,

Objective type Questions

,

Semester Notes

,

Free

,

Optimum Scheduling | Power Systems - Electrical Engineering (EE)

,

Exam

,

Important questions

,

MCQs

,

Summary

,

mock tests for examination

,

pdf

,

Optimum Scheduling | Power Systems - Electrical Engineering (EE)

;