%0 Conference Proceedings
%A Suyanto
%A Ahmad Febri Firmansah
%A Fiona Yolita Purnomo
%A Erwin Prawira Santosa
%A Ni Ketut Aryani
%A Ontoseno Penangsang
%A Adi Soeprijanto
%A Taufani Kurniawan
%A Amirul Hadi Wibowo
%A Akhmad Rizki Hidayatullah
%T Optimization Sizing and Placement Distributed Generation with Determination Network Reconfiguration and Capacitor Bank Simultaneously to Maximize Active Power Output of Distributed Generation Using Genetic Algorithm Method
%B The Second NZAAR International Event Series on Natural and Built Environment, Cities, Sustainability and Advanced Engineering
%C Kuala Lumpur, Malaysia
%D 2016
%8 8 December 2016
%P 170-180
%I New Zealand Academy of Applied Research
%@ 2463-5979
%K Active Power
%K network reconfiguration
%K the placement of Distributed Generation (DG)
%K capacitor placement and Genetic Algorithm (GA)
%U https://gdiacademy.org/nzaar/SGER-16-33.html
%X The demand for electricity continues to increase in line with the growth of population but it is not matched with adequate power generation. Distributed Generation (DG) is one of the solutions to increase the availability of electrical energy which is able to accommodate the development. DG is able to supply additional active power in distribution network but less precise placement may result in less optimal active power output of DG. Therefore, this paper presents reconfiguration of the network, DG and capacitor optimal placement using Genetic Algorithm (GA) either sequentially or simultaneously to be tested on a modified IEEE 69 buses radial distribution system. The test showed that the optimization techniques in network reconfiguration, DG, and capacitors placement simultaneously are able to increase the bus voltage profile to satisfy the constraint. The minimum voltage limit on the optimization is 0.98537pu.