Page 365 - Decision Making Applications in Modern Power Systems
P. 365
Heuristic methods for the evaluation of environmental impacts Chapter | 12 327
TABLE 12.13 Nondominated sorting genetic algorithm II (NSGA-II) Final
Programming of IEEE test system.
Solutions to environmental economic dispatch using NSGA-II
Power demand 1036 MW
Minimum power 10 MW
Maximum power 470 MW
Power losses 0.0377 MW
Fuel cost 55,485.25 $/h
Power values and each generator emission index
3
Power MW Emission index (g/m )
Un1 0 0
Un2 0 0
Un3 293.62 4,291,234.13
Un4 299.99 4,376,989.15
Un5 157.25 3,333,188.65
Un6 156.38 3,330,974.55
Un7 75.78 3,320,000.42
Un8 57.66 3,308,745.27
Generation 400 / 400
432
431.9
obj 2 : Emissions index (g/m 3 ) 431.8
431.7
431.6
431.5
431.4
431.3
431.2
6675 6680 6685 6690 6695 6700
obj 1 : Cost ($/h)
FIGURE 12.7 Trade-off between emission level and the cost of fuel after the application of
the NSGA-II, 10 generator system. NSGA-II, Nondominated sorting genetic algorithm II.