Research Article
Coevolutionary Framework-Based Constrained Multi-Objective Optimization for Optimal Carbon-Energy Combined Flow of a Power Grid
Table 3
Performance results of different algorithms for the IEEE-57 system and IEEE-300 system running for different time periods.
| System | Scenario time | PPS | CCMO | Convergence time (s) | Cpgc (t/h) | Vd (%) | Convergence time (s) | Cpgc (t/h) | Vd (%) |
| IEEE-57 | 5 : 00 | 15.99 | 1.7177 | 13.4633 | 14.27 | 1.7103 | 15.9080 | 15 : 00 | 14.91 | 2.7052 | 16.4138 | 14.03 | 2.6242 | 16.1330 | 20 : 00 | 15.48 | 5.2275 | 19.6972 | 14.20 | 5.0081 | 19.6532 |
| IEEE-300 | 5 : 00 | 251.54 | 97.8441 | 58.7603 | 203.09 | 91.6637 | 57.7965 | 15 : 00 | 234.04 | 128.7052 | 63.9092 | 221.32 | 125.4731 | 61.3269 | 20 : 00 | 255.52 | 174.4435 | 67.5793 | 201.40 | 168.7687 | 67.3595 |
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