Research Article

Combined Economic and Emission Dispatch Problem of Wind-Thermal Power System Using Gravitational Particle Swarm Optimization Algorithm

Table 8

Statistical results of the minimum fuel cost, minimum emission, and best compromise solution by different algorithms on three cases.

AlgorithmMinimum fuel costMinimum emission levelASD values for best compromise solution
BestWorstAverageStd.BestWorstAverageStd.BestWorstAverageStd.

Case 1 (conventional thermal test system)
GPSOA600.29600.31600.292.5601e − 030.19420.19420.19424.0891e − 090.82030.58090.70166.8199e − 03
PSOGSA600.44601.02600.962.7367e − 020.19420.19420.19425.7842e − 080.80650.52960.70454.6413e − 03
TV-MOPSO605.06608.57606.353.5274e − 000.19420.19430.19425.6532e − 040.76320.65340.69623.7624e − 03
PSO600.57607.13603.131.5618e − 000.19470.19900.19641.1037e − 030.74770.58760.68967.2215e − 03
GSA602.23615.30609.053.4189e − 000.19540.20570.20042.6205e − 030.73270.51640.65871.0174e − 02
OGSA601.02604.73601.532.6352e − 010.19420.19440.19426.5624e − 040.75240.60280.68354.6441e − 03

Case 2 (lossless wind-thermal test system)
GPSOA285.61285.61285.614.8224e080.19410.19420.19427.2534e070.67510.60110.63565.0026e03
PSOGSA286.52286.82286.663.6226e − 060.19410.19440.19433.6518e − 020.66240.56280.61642.7538e − 03
PSO288.12289.69288.621.4625e − 020.19450.19470.19461.0231e − 040.66300.60260.62685.0167e − 03
GSA324.40419.02366.442.6899e+010.19670.21560.20634.6911e − 030.65980.43530.57944.8831e − 02
GA422.64462.62436.623.3943e+010.19720.22080.21762.7521e − 020.58730.42610.52078.7264e − 02

Case 3 (wind-thermal test system with loss)
GPSOA286.02286.05286.034.5555e030.19410.19430.19424.9695e050.74660.60520.63184.9998e03
PSOGSA288.24290.51289.432.7536e − 020.19430.19500.19461.6253e − 020.68250.58440.62756.6253e − 02
PSO288.52289.15288.073.6977e − 020.19440.19480.19451.6181e − 040.67480.59640.64235.5679e − 03
GSA296.85324.92367.506.1065e+010.19690.21450.20704.1027e − 030.66470.48310.61633.6581e − 02
GA306.15384.63326.731.6259e+020.19700.21860.20923.0726e − 030.60260.42220.57265.7529e − 02