TY  - JOUR
AU  - Ferrari, Hassan
AU  - Muller, Wei
TI  - Ant Colony Optimisation for Load Frequency Control: An Empirical Evaluation
JO  - Open Access Journal of Engineering Applications
PY  - 2010
VL  - 34
IS  - 2
SP  - 374
EP  - 386
AB  - Engineers have long sought reliable means of dealing with load frequency control in e-governance services. The parameters of the model are estimated through ant colony optimisation and verified against measured values. Overall performance improves by 26% when the proposed scheme is adopted. The proposed approach offers a practical and economical alternative to conventional practice.
KW  - load frequency control
KW  - ant colony optimisation
KW  - genetic algorithm
KW  - induction motor
KW  - MIMO systems
SN  - 3105-7004
DO  - 10.55555/oajea.2010.3402.020
UR  - https://journal.bsaps.com/article/8737
ER  -