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Bali is a tourist area with resources originating from Java and several large-scale factories that use oil and gas, which until now still need more electricity. The addition of small-scale generators in Bali is very helpful where economic benefits are distribution costs and reduction in transmission costs, electricity costs and fuel savings. Technically, DG distributors must be done correctly and optimally from size or location so as to provide maximum results from an economic perspective, minimizing electricity losses and increasing the voltage profile which results in an increase in electricity quality. For this reason, this study will use heuristic optimization using the Quantum Genetic Alghorithm method to place generators distributed to the Bali Electricity Network. To calculate electricity losses and voltage profiles, the method used to solve them is the Newton Raphson method. A result of this study, DG was installed in a feeder located in Abang District, Karangasem Regency where Abang Feeder had a total of 431 buses that were part of the Bali Distribution System. By using QGA, DG is installed on buses 1, 5, 7, and 302 with capacities of each DG is 0.374 MW, 1.894 MW, 1.988 MW and 0.500 MW, after installation of DG, the voltage profile can be repaired. The voltage profile for several buses to Abang Feeder can be fixed from 0.83 pu to 0.98 pu. Electricity losses from 1.105 MW to 0.234 MW Index Term : Optimation, Distributed Generator (DG), Quantum Genetic Alghorithm, Voltage Profile, Electricity Loss.

Optimization of Placement and Size of Distribution Generators Using Quantum Genetic Algorithms to Improve Power Quality in Bali Distribution Networks