Javascript must be enabled to continue!
Recloser Placement Optimization In The PDP-03 Radial Network Distribution System Using Ant Colony Optimization (ACO)
View through CrossRef
The increasing demand for electricity demanded that the power distribution system has a good reliability. To improve the reliability of electric power systems, PT. PLN Area Semarang use Recloser on the electricity network. Nowadays, the determination of recloser position is very important in reliability of electrical power system. Reliability index used in distribution systems are SAIFI and SAIDI. The value of SAIFI and SAIDI can be calculated from the outage time and the failure rate occurred in one year. Reliability can be concluded better if SAIFI and SAIDI smaller. This research aims to determine the optimal placement of recloser location on the electrical network in feeder PDP 03 Pudak Payung substation. The method used for the recloser location placement is Ant Colony Optimization (ACO) using Matlab Software R2014a. From simulation result, it can be concluded that the reliability value before and after placement recloser changed. SAIFI and SAIDI before recloser placement is 1.0172 times/year and 2.5435 hours/year. Optimal placement location for 1 recloser is at a location 4 with a value of SAIFI and SAIDI is 0.3361 times/year and 1.0456 hours/year. While for 2 reclosers is at a location 2 and 7 with a value of SAIFI and SAIDI is 0.26755 times/year and 0.86069 hours/year.
Cendikia Mulia Mandiri
Title: Recloser Placement Optimization In The PDP-03 Radial Network Distribution System Using Ant Colony Optimization (ACO)
Description:
The increasing demand for electricity demanded that the power distribution system has a good reliability.
To improve the reliability of electric power systems, PT.
PLN Area Semarang use Recloser on the electricity network.
Nowadays, the determination of recloser position is very important in reliability of electrical power system.
Reliability index used in distribution systems are SAIFI and SAIDI.
The value of SAIFI and SAIDI can be calculated from the outage time and the failure rate occurred in one year.
Reliability can be concluded better if SAIFI and SAIDI smaller.
This research aims to determine the optimal placement of recloser location on the electrical network in feeder PDP 03 Pudak Payung substation.
The method used for the recloser location placement is Ant Colony Optimization (ACO) using Matlab Software R2014a.
From simulation result, it can be concluded that the reliability value before and after placement recloser changed.
SAIFI and SAIDI before recloser placement is 1.
0172 times/year and 2.
5435 hours/year.
Optimal placement location for 1 recloser is at a location 4 with a value of SAIFI and SAIDI is 0.
3361 times/year and 1.
0456 hours/year.
While for 2 reclosers is at a location 2 and 7 with a value of SAIFI and SAIDI is 0.
26755 times/year and 0.
86069 hours/year.
Related Results
OPTIMASI PENEMPATAN RECLOSER PADA PENYULANG OLAK ALEN UNTUK MENINGKATKAN KEANDALAN SISTEM DISTRIBUSI MENGGUNAKAN ALGORITMA DIFFERENTIAL EVOLUTION
OPTIMASI PENEMPATAN RECLOSER PADA PENYULANG OLAK ALEN UNTUK MENINGKATKAN KEANDALAN SISTEM DISTRIBUSI MENGGUNAKAN ALGORITMA DIFFERENTIAL EVOLUTION
Keandalan sistem tenaga listrik merupakan salah satu isu utama dalam penyaluran energi listrik. Gangguan berulang pada jaringan distribusi energi listrik sangat mempengaruhi keanda...
Proposta de estruturação do processo de desenvolvimento de produtos para empresas prestadoras de serviço de telecomunicações
Proposta de estruturação do processo de desenvolvimento de produtos para empresas prestadoras de serviço de telecomunicações
O setor de telecomunicações apresenta um cenário altamente competitivo e de constante inovação tecnológica, exigindo que seu Processo de Desenvolvimento de Produtos (PDP) tenha ade...
Machine learning algorithms for 5G optical networks
Machine learning algorithms for 5G optical networks
(English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation
tradeoff has been addressed, as we proposed FBMC and artificial intelligen...
The Material Basis for the Beneficial Effects of Paidu Powder on Hyperuricemia: A Network Pharmacology and Clinical Study
The Material Basis for the Beneficial Effects of Paidu Powder on Hyperuricemia: A Network Pharmacology and Clinical Study
Background: Paidu powder (PDP) is a formula that is used in traditional Chinese medicine (TCM) practices and has been demonstrated to be effective to lower blood uric acid (UA) lev...
Ant-Inspired Metaheuristic Algorithms for Combinatorial Optimization Problems in Water Resources Management
Ant-Inspired Metaheuristic Algorithms for Combinatorial Optimization Problems in Water Resources Management
Ant-inspired metaheuristic algorithms known as ant colony optimization (ACO) offer an approach that has the ability to solve complex problems in both discrete and continuous domain...
Analisis Perencanaan Pemasangan Recloser pada Penyulang untuk Meminamilisr Pemadaman
Analisis Perencanaan Pemasangan Recloser pada Penyulang untuk Meminamilisr Pemadaman
Salah satu penyulang yang ada di PT. PLN (Persero) ULP adalah Penyulang Selecta. Bedasarkan data Penyulang Selecta mengalami gangguan sebanyak 34 kali gangguan dari Januari 2018 - ...
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a...
PPARγ Attenuates Cellular Senescence of Alveolar Macrophages in Asthma- COPD Overlap
PPARγ Attenuates Cellular Senescence of Alveolar Macrophages in Asthma- COPD Overlap
Abstract
Asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) represents a complex condition characterized by shared clinical and pathophysiological features o...

