PERANCANGAN PENEMPATAN RECLOSER YANG OPTIMUM MENGGUNAKAN METODE QUANTUM GENETIC ALGORITHM DI PENYULANG PALAPA

Abstract

The need for electricity in Bali is increasing along with the growth of technology and development
in Bali, so the quality of electricity distribution to customers must also be improved. This study took an
example from the 2018 case, Palapa Feeder used 2 reclosers which had an index value that did not meet
the standard of the reliability index value. When the Palapa Feeder only used LBS, SAIFI value was
2.1055 and SAIDI was 7.2960, when the LBS was changed to recloser the SAIFI value was 1.203 and
SAIDI was 4.091. When a recloser was added again the SAIFI value became 1.016 and SAIDI became
3.4088. The use of 2 reclosers on a feeder is less effective, because if they are placed at a close distance,
then there will be two devices work simultaneously when there is a disturbance so that the area which is
not affected by the disturbance will also experience a power outage. Therefore it is necessary to design a
recloser placement point in order to obtain lower reliability index value in order to meet the PLN standard
(SPLN) No. 68-2: 1986, World Class Company standards, World Class Service standards, and also
obtained the optimum recloser location and more efficient.
The design of recloser placement is carried out using the Quantum Genetic Algorithm method,
which is an evolutionary algorithm based on the concept of quantum bits (qubits). The purpose of this
method is to minimize the SAIDI and SAIFI value in order to obtain lower reliability index and meet the
standards in order to obtain an optimum recloser location. The results of the recloser placement design
using the QGA method show that the local optimum recloser location is in section 2 at point 56 with the
highest fitness value is 4.9715 and a SAIDI value is 1.8951 decreased by 44.4% and SAIFI value is 0.9978
decreased by 1, 78%, and it is proven that the recloser placement design using the QGA method has
succeeded in obtaining local optimum with better SAIDI SAIFI index results and has met the PLN (SPLN)
standard No. 68-2: 1986 with SAIDI 3,33 and SAIFI 1,2 and also meets World Class Company and World
Class Service standards with SAIFI 3 (times/customer/year) and SAIDI 1,66 (hours/customer/year).