A reduced-size genetic algorithm for optimal capacitor placement on distribution feeders

In this paper, a nested procedure is proposed to solve the optimal capacitor placement problem for distribution networks. At the outer level, a reduced-size genetic algorithm is adopted aimed at maximizing the net profit associated with the investment on capacitor banks. The chromosome string is restricted to the number of capacitor steps required by the peak power scenario. At the inner level, power losses are minimized for the remaining loading conditions, taking into account the capacitor steps determined at the outer level. Results are presented of applying the proposed methodology to several distribution systems.