Research Article

Optimal Power Flow Using Gbest-Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule

Table 2

Best solution of different cases for IEEE 30-bus system.

Control variablesCase 1.1Case 1.2Case 1.3Case 1.4Case 1.5

P1 (MW)177.328051.5146160.1819125.8849199.1818
P2 (MW)48.587380.000044.146128.651752.0165
P5 (MW)21.400649.977249.962446.660215.0015
P8 (MW)21.143434.999210.426921.963710.0007
P11 (MW)11.946829.999312.166926.795610.0005
P13 (MW)12.006539.995815.030338.822012.0003
V1 (p.u.)1.08341.06111.01791.06160.9860
V2 (p.u.)1.06421.05711.00611.05220.9664
V5 (p.u.)1.03371.03771.01731.05550.9901
V8 (p.u.)1.03841.04401.00831.05450.9583
(p.u.)1.08511.08401.05921.09901.0990
(p.u.)1.04081.05520.99731.05050.9765
(p.u.)1.08001.06001.08001.04000.9000
(p.u.)0.91000.91000.90000.90000.9000
(p.u.)0.96000.99000.95000.97001.0900
(p.u.)0.97000.98000.97000.96000.9000
(p.u.)0.04600.00100.05000.00900.0340
(p.u.)0.01400.00000.00100.00400.0500
(p.u.)0.04100.04400.05000.02000.0000
(p.u.)0.04900.05000.00000.00800.0430
(p.u.)0.03900.03700.05000.00400.0480
(p.u.)0.05000.05000.04800.02500.0030
(p.u.)0.02900.03000.05000.00300.0010
(p.u.)0.05000.05000.05000.01400.0440
(p.u.)0.02000.02400.02700.00000.0440
Fuel cost 800.4173947.5052859.6552886.3236916.9167
Power loss (MW)9.01273.08628.51455.378214.8014
Voltage deviations0.91310.90370.09010.88340.6185
L-index0.13760.13860.14880.13650.1469