Research Article

Nonconvex Economic Dispatch Using Particle Swarm Optimization with Time Varying Operators

Table 6

Optimal generating schedule for case studies 1, 2, and 3.

UnitCase study 1Case study 2Case study 3
Power (MW)Power (MW)Power (MW)

1628.3185110.799825110.799789
2298.8000110.799825110.799807
3298.800097.399913097.3998080
4159.7400179.733100179.733093
5159.740087.799905087.7998250
6159.7400140.000000140.000000
7159.7400259.599650259.599600
8159.7300284.599650284.599496
9159.7400284.599650284.599700
1076.20000130.000000130.000000
11113.320094.0000000168.798140
1292.1000094.0000000168.041419
1392.10000214.759790125.000000
14394.279370400.000000
15394.279370394.279018
16394.279370394.279205
17489.279370489.279397
18489.279370489.279380
19511.279370511.279377
20511.279370511.279299
21523.279370523.279354
22523.279370523.279373
23523.279370523.279372
24523.279370523.279365
25523.279369523.279377
26523.279370523.279400
2710.000000010.0000000
2810.000000010.0000000
2910.000000010.0000000
3087.79990287.7998910
31190.000000190.000000
32190.000000190.000000
33190.000000190.000000
34164.799825164.799766
35194.397782164.799800
36200.000000164.799803
37110.000000110.000000
38110.000000110.000000
39110.000000109.998798
40511.279370511.279348