Research Article

An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration

Table 4

Characteristics of the Pareto-optimal solutions in Figure 11.

Solution numberLine sections openPower losses (Mw)Voltage deviationOperated switches

1 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 960.53200.0033805 0
234, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 960.509570.0032245 1
3 7, 63, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 950.499490.0032055 2
4 7, 62, 84, 86, 87, 88, 89, 90, 91, 92, 93, 94, 950.499920.0031927 2
57, 34, 84, 86, 87, 88, 89, 90, 91, 92, 93, 95, 960.489970.003276 2
634, 72, 84, 85, 86, 88, 89, 90, 91, 92, 93, 95, 960.505620.003169 2
77, 34, 62, 84, 86, 87, 88, 89, 90, 91, 92, 93, 950.47750.0030271 3
87, 34, 63, 84, 86, 87, 88, 89, 90, 91, 92, 93, 950.477070.0030406 3
97, 34, 62, 72, 84, 86, 88, 89, 90, 91, 92, 93, 950.473540.0029678 4
107, 34, 63, 72, 84, 86, 88, 89, 90, 91, 92, 93, 950.473110.0029816 4
117, 34, 63, 72, 83, 84, 86, 88, 89, 90, 92, 93, 950.470660.0029532 5
127, 34, 62, 72, 83, 84, 86, 88, 89, 90, 92, 93, 950.471090.0029392 5
137, 13, 34, 63, 72, 83, 84, 86, 89, 90, 92, 93, 950.470350.0029792 6
147, 34, 55, 62, 72, 83, 86, 88, 89, 90, 92, 93, 950.470460.0029166 6
157, 13, 34, 55, 62, 72, 83, 86, 89, 90, 92, 93, 950.470150.0029437
167, 34, 39, 55, 62, 72, 83, 86, 88, 89, 90, 92, 950.470320.0029087 7
177, 34, 39, 42, 55, 62, 72, 83, 86, 88, 89, 90, 920.470190.0029046 8
187, 13, 34, 39, 55, 62, 72, 83, 86, 89, 90, 92, 950.470010.0029351 8
197, 13, 34, 39, 42, 55, 62, 72, 83, 86, 89, 90, 920.469880.0029311 9