Genetic algorithms for optimal reactive power compensation on the National Grid system

This paper proposes a modified integer genetic algorithm (IGA) applied to the full reactive-power compensation planning (RCP) problem. The algorithm solves both the siting and the operational problem over intact/base case and typical contingent cases. The algorithm is tested on a practical sized system that was developed with the cooperation of National Grid. It is compared with the results generated by the package SCORPION: a RCP program currently being used by National Grid. This paper demonstrates that GAs can be successfully applied to practical sized systems when multiple operating states are considered; the system performance is optimised via adjustment of tap settings and controller characteristics; and both fixed and dynamic compensation devices are being sited.