图像电力系统备用优化模拟部分.

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1、正常情况下图形Printed time: 27-May-2016 12:09:36- Optimal Solution Report Using Continuous Genetic AlgorithmCost Function and Variables: Number of optimization variables = 144 Number of continuous variables = 144 Number of integer variables = 0 Cost Function is funcOCM.m Constraint Function is const.mGA Pa

2、rameters: Population size = 16 Number digits in a chromosome = 144 Selection rate = 0.5 Mutation rate = 0.015 Generations = 30 GA Solutions: Best solution x1 = 809.35 x2 = 259.768 x3 = 134.384 x4 = 169.762 x5 = 164.858 x6 = 162.378 x7 = 808.755 x8 = 259.795 x9 = 160.055 x10 = 169.881 x11 = 161.893 x

3、12 = 137.872 x13 = 801.657 x14 = 259.454 x15 = 161.992 x16 = 169.99 x17 = 135.664 x18 = 164.993 x19 = 807.979 x20 = 259.233 x21 = 161.236 x22 = 169.413 x23 = 160.925 x24 = 130.464 x25 = 809.517 x26 = 259.944 x27 = 161.852 x28 = 169.37 x29 = 164.727 x30 = 121.591 x31 = 807.463 x32 = 257.544 x33 = 161

4、.09 x34 = 168.7 x35 = 163.58 x36 = 124.123 x37 = 799.558 x38 = 256.06 x39 = 154.372 x40 = 145.954 x41 = 161.665 x42 = 162.641 x43 = 798.075 x44 = 256.726 x45 = 159.706 x46 = 146.362 x47 = 163.315 x48 = 153.816 x49 = 805.395 x50 = 258.42 x51 = 160.596 x52 = 164.482 x53 = 138.665 x54 = 145.941 x55 = 8

5、01.793 x56 = 257.429 x57 = 160.827 x58 = 166.802 x59 = 143.811 x60 = 138.338 x61 = 805.481 x62 = 257.134 x63 = 160.795 x64 = 160.481 x65 = 163.601 x66 = 119.259 x67 = 801.547 x68 = 259.134 x69 = 143.636 x70 = 169.513 x71 = 126.264 x72 = 164.406 x73 = 805.02 x74 = 258.724 x75 = 161.196 x76 = 168.935

6、x77 = 138.986 x78 = 136.14 x79 = 800.785 x80 = 255.735 x81 = 145.843 x82 = 166.38 x83 = 162.627 x84 = 142.129 x85 = 800.63 x86 = 257.983 x87 = 159.164 x88 = 168.668 x89 = 162.801 x90 = 128.754 x91 = 799.045 x92 = 253.092 x93 = 154.287 x94 = 165.9 x95 = 160.204 x96 = 152.223 x97 = 794.55 x98 = 254.52

7、4 x99 = 154.441 x100 = 162.652 x101 = 160.846 x102 = 159.987 x103 = 809.444 x104 = 245.233 x105 = 161.761 x106 = 169.838 x107 = 152.26 x108 = 143.964 x109 = 809.308 x110 = 257.87 x111 = 161.477 x112 = 130 x113 = 162.364 x114 = 156.981 x115 = 799.716 x116 = 256.463 x117 = 160.394 x118 = 167.561 x119

8、= 155.543 x120 = 129.322 x121 = 805.739 x122 = 258.706 x123 = 161.802 x124 = 164.833 x125 = 118.078 x126 = 164.343 x127 = 808.914 x128 = 258.134 x129 = 161.293 x130 = 169.363 x131 = 121.797 x132 = 162.999 x133 = 808.178 x134 = 258.428 x135 = 161.763 x136 = 169.833 x137 = 129.199 x138 = 164.098 x139

9、= 808.386 x140 = 259.031 x141 = 160.76 x142 = 148.226 x143 = 163.213 x144 = 156.384 Low cost = 1.36755e+06 Printed time: 27-May-2016 12:09:38- Optimal Solution Report Using Continuous Genetic Algorithm No. of Thermal Generators = 6 Minimum Coal-burning Generation Cost = 1.36755e+06 ($) GenNO. PG1 PG

10、2 PG3 PG4 PG5 PG6 1 809.3 259.8 134.4 169.8 164.9 162.4 2 808.8 259.8 160.1 169.9 161.9 137.9 3 801.7 259.5 162.0 170.0 135.7 165.0 4 808.0 259.2 161.2 169.4 160.9 130.5 5 809.5 259.9 161.9 169.4 164.7 121.6 6 807.5 257.5 161.1 168.7 163.6 124.1 7 799.6 256.1 154.4 146.0 161.7 162.6 8 798.1 256.7 15

11、9.7 146.4 163.3 153.8 9 805.4 258.4 160.6 164.5 138.7 145.9 10 801.8 257.4 160.8 166.8 143.8 138.3 11 805.5 257.1 160.8 160.5 163.6 119.3 12 801.5 259.1 143.6 169.5 126.3 164.4 13 805.0 258.7 161.2 168.9 139.0 136.1 14 800.8 255.7 145.8 166.4 162.6 142.1 15 800.6 258.0 159.2 168.7 162.8 128.8 16 799.0 253.1 154.3 165.9 160.2 152.2 17 794.5 254.5 154.4 162.7 160.8 160.0 18 809.4 245.2 161.8 169.8 152.3 144.0 19 809.3 257.9 161.5 130.0 162.4 157.0 20 799.7 256.5 160.4 167.6 155.5 129.3 21 805.7 258.7 161.8 164.8 118.1 164.3 22 808.9 258.1 161.3 169.

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