Research Article
Dynamic Environmental/Economic Scheduling for Microgrid Using Improved MOEA/D-M2M
Table 1
The
-values, extreme solutions, and CPU time using the three algorithms under different load demands.
| | Load demand (kW) | | | I-MOEA/D-M2M | SPEA2 | NSGAII |
| | 50 | -value | Best | 278.5705 | 278.3354 | 276.4289 | | Mean | 278.5012 | 274.0246 | 272.5123 | | Extreme solutions | For obj11 | (2.1137, 0.7416) | (2.1145, 0.7451) | (2.4410, 0.2894) | | For obj2 | (4.7214, 0.0012) | (4.6002, 0.0013) | (7.5578, 0.0015) |
| | 100 | -value | Best | 261.0048 | 260.8247 | 257.4370 | | Mean | 260.9123 | 257.2458 | 252.4999 | | Extreme solutions | For obj1 | (3.8618, 0.7431) | (3.8788, 0.7358) | (4.1293, 0.3158) | | For obj2 | (6.9167, 0.0013) | (6.9822, 0.0015) | (8.2485, 0.0018) |
| | 150 | -value | Best | 204.6214 | 201.2211 | 195.5587 | | Mean | 202.2548 | 196.6741 | 187.5855 | | Extreme solutions | For obj1 | (9.1871, 0.9048) | (9.3121, 0.8863) | (9.2865, 0.8563) | | For obj2 | (13.4595, 0.1249) | (13.2509, 0.1386) | (13.2488, 0.2360) |
| | Average CPU time (s) | 49.1254 | 292.5186 | 78.3404 |
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The terms obj1 and obj2 represent to the two optimization objectives, respectively.
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