Rekonfigurasi Jaringan Distribusi Radial Di Penyulang Purwoasri Berbasis Modified Imperialist Competitive Algorithms (MICA)

Ali, Machrus; Rukslin, Rukslin; Nurohmah, Hidayatul; Pambayun, Yoga Arie; Zaini, Achmad

doi:10.32492/fortech.v1i2.227

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…Beberapa metode rekonfigurasi digunakan dalam aplikasi jaringan, diantaranya menggunakan Binary Firefly Algorithm (BFA) (Diana Mulya Dewi et al, 2020), Modified Imperalis Competitief Algorithmc (MICA) (Ali et al, 2020), dan Modified Firefly Algorithms (MFA) (Nurohmah, Raikhani and Ali, 2017) dalam jaringan.…”

Section: Rekonfigurasi Saluranunclassified

Rekonfigurasi 26 Kanal Irigasi Menggunakan Metode Binary Firefly Algorithms (Bfa)

Yunus,

Siswanto,

Imam Wahyudi

et al. 2024

Jurnal Teknika

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Reconfiguration of irrigation water channels on agricultural land aims to meet the water needs of rice fields. In its use, irrigation water must be used optimally. An automatic irrigation system is needed to provide water to plants in the desired conditions. In the irrigation control system, a servo motor simulates the control system using the Matlab 2013b software programme. Control simulations applied to irrigation prototypes are used to increase efficiency and determine the amount of irrigation water needed to regulate irrigation water distribution according to needs. As a controller comparison, an artificial intelligence method is used for controller tuning based on Binary Firefly Algorithm (BFA). The farthest water discharge results can be reduced in the reconfiguration model using the BFA method. So reconfiguring the network with BFA can reduce water discharge losses by 43.4538% of the water discharge losses from before

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Section: Rekonfigurasi Saluranunclassified

Rekonfigurasi 26 Kanal Irigasi Menggunakan Metode Binary Firefly Algorithms (Bfa)

Yunus,

Siswanto,

Imam Wahyudi

et al. 2024

Jurnal Teknika

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“…Kontrol cerdas berbasis Artificial Intelligence telah banyak berkembang untuk meningkatkan kontrol konvensional, kontrol PID [1], kontrol Fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS) [2][3], dan jenis kontroler lainnya. Metode yang telah diteliti dan berhasil dalam optimasi sistem kontrol adalah Particle Swarm Optimization (PSO) [4][5], Firefly Algorithm (FA) [6][7] [8], Imperialist Competitive Algorithm (ICA) [9], Bat algorithm (BA) [10][11], and Ant Colony Optimization (ACO) [12][13]. Setiap metode memiliki kelebihan dan kekurangannya masingmasing.…”

Section: Pendahuluanunclassified

Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO)

et al. 2023

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A furnace is a tool for heating materials, oil, and so on, which usually uses gas, coal, and oil as fuel. Temperature is the main parameter that needs to be controlled in order to remain stable, precise, and of course improve fuel efficiency. As technology develops, there are several methods that can be used to control temperatures that are more reliable than conventional controls. The technology is Proportional Integral Derivative (PID) controller. PID controllers have been proven to be the best controllers and are widely used in industry. But to determine the gain from the PID value is still not accurate and can affect temperature stability, the response is also still slow to reach the desired set point. Therefore, this paper is to simulate a better PID gain value by using the artificial intelligence tuning method. The artificial intelligence method is Ant Colony Optimization (ACO). The simulation results and discussion show that the best design is PID-ACO with 0.0081 overshot, no undershot, and the fastest settling time is 35 seconds

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“…Peningkatan kebutuhan energi listrik menuntut PLN untuk meningkatkan mutu pelayanan dengan menjaga keandalan dan kontinuitas penyaluran energi listrik. (PT PLN (Persero) Jasa Pendidikan dan Pelatihan, 2005) mengatakan bahwa pada sistem distribusi, kualitas keandalan dapat dilihat dari lamanya pemadaman yang dapat diketahui menggunakan System Average Interruption Duration Index (SAIDI) dan seberapa sering pemadaman terjadi dalam satu satuan waktu yang dapat diketahui menggunakan System Average Interruption Frequency Index (SAIFI) [1]. Semakin kecil angka indeks kedua parameter tersebut maka, semakin tinggi tingkat keandalan sistem kelistrikannya.…”

Section: Pendahuluanunclassified

Pengaruh Automatic Change Over Switch Terhadap Peningkatan Keandalan Gardu Distribusi T3-200A/1 Penyulang PLR-04

Irainto Tjendrowasono,

Nugroho,

Kadek Devi Suyastini

2023

Jurnal FORTECH

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The process of distributing electrical energy has the potential to cause disturbances that can occur due to natural disturbances, disturbances to electrical equipment, disturbances at the generating center, transmission lines, and disturbances in the distribution network that can disrupt the reliability and service quality of the distribution of electrical energy. The quality of reliability can be rated by the length of outages, which can be determined using the System Average Interruption Duration Index (SAIDI), and how often blackouts occur in one unit of time, which can be determined using the System Average Interruption Frequency Index (SAIFI). In maintaining the reliability of electrical energy, additional equipment is needed that is capable of supplying backup energy to the load when a disturbance occurs, namely the Automatic Change Over Switch (ACOS). ACOS is a device that works automatically for the process of maneuvering the network from two voltage sources to maintain electricity availability without having to have long blackouts due to disturbances or loss of voltage at the main source. The use of the Automatic Change Over Switch (ACOS) is proven to be able to increase the reliability of electrical energy at distribution substation T3-200A/1 feeder PLR-04 by reducing the length of time outages (SAIDI) and reducing the frequency, because customers don't feel outages when the disturbance occurs. In addition, the use of Automatic Change Over Switch (ACOS) can also reduce the energy not supplied (ENS)

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Rekonfigurasi Jaringan Distribusi Radial Di Penyulang Purwoasri Berbasis Modified Imperialist Competitive Algorithms (MICA)

Cited by 4 publications

References 8 publications

Rekonfigurasi 26 Kanal Irigasi Menggunakan Metode Binary Firefly Algorithms (Bfa)

Rekonfigurasi 26 Kanal Irigasi Menggunakan Metode Binary Firefly Algorithms (Bfa)

Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO)

Pengaruh Automatic Change Over Switch Terhadap Peningkatan Keandalan Gardu Distribusi T3-200A/1 Penyulang PLR-04

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