Research Article

Nonconvex Economic Dispatch Using Particle Swarm Optimization with Time Varying Operators

Table 3

Comparison results for case study 1.

MethodBest fuel cost
($/hr)
Average fuel cost
($/hr)
Worst fuel cost
($/hr)
Total power
(MW)
Power loss
(MW)
CPU time
(s)

GA [27]24632.4224874.9325188.592559.8739.872.25
DE [27]24819.3225217.6425656.402562.3442.342.58
HDE [27]24591.7624739.5325074.902559.1639.163.57
STHDE [27]24560.0824706.6324872.442564.3344.332.98
ICA-PSO [7]24540.0624561.4624589.452559.0539.0521.5
SDE [1]24514.8824516.31ā€”2560.4340.43ā€”
Proposed PSO24514.4624514.5824515.262558.0738.072.96