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Journal : Jurnal JEETech

Aplikasi ORCA Algorithm Pada Optimasi Penyediaan Daya Sistem Berbasis Mobilitas Kendaraan Listrik A.N. Afandi; Candra W.A, Farrel; Ali, Machrus
Jurnal JEETech Vol. 4 No. 2 (2023): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.794 KB) | DOI: 10.32492/jeetech.v4i2.4204

Abstract

In reality, the electric power system is run by combining several production units to commit to meeting changes in load demand at each operating time. Apart from that, it also takes into account efforts to reduce overall costs while maintaining the specified technical limits. The general thing that is often done to achieve this condition is carried out with an economical operational approach which leads to minimizing operational costs. During 24 hour operations, the model that is often used is Dynamic Economic Operation (DEO) which takes into account changes in load demand over a 24 hour seven day period. This study uses the IEEE-62 bus system as a model, which is optimized using the Orca Algorithm. The load flexibility pattern is based on the effect of charging integration for Electric Vehicles (EV). The simulation results show that the Orca algorithm solves problems with fast iteration and provides the best results. The Orca algorithm provides good levels of convergence, power output and overall operational costs. EV distances and routes also have varying driving characteristics and varying power utilization. In terms of travel modes, which include one way and two trips, it has a mobility of 208,000 EVs, with respective distributions for working/business/study, service/shopping, leisure time, and other purposes.
Optimasi Kualitas Tenaga Listrik Di Area Banyuwangi Menggunakan Radio Gateway Over Internet Protocol Machrus Ali; Dwi Ajiatmo; Muhlasin
Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.208 KB) | DOI: 10.48056/jeetech.v1i2.3

Abstract

One of the communication problems at PLN is communication in areas that are not covered by radio frequencies. With the limitation related to radio frequency because the blankspot can have an impact on the speed of service, both in terms of recovering when disturbances occur, communication for coordination between officers, and maintenance work. Meanwhile, efforts to expand radio frequency coverage areas by building tower repeater links and BTS tower rentals require relatively large costs. Information technology that is developing now makes it easy for everyone to communicate through various media, one of which is an internet connection. Widespread development of infrastructure owned by telecommunications providers, the wider availability of internet connections in the blank spot area. To overcome the blank spot areas that have an impact on SAIDI and SAIFI, Radio Gateway Over Internet Protocol is used in the working area of ​​PT. PLN (Persero) Banyuwangi area that connects communication radios with mobile phones through the internet network. From the calculation using the average formula in the Microsoft Excel program the average value of SAIDI is better than before. Meanwhile, the average SAIFI score afterwards is also better than before. By using the T-Test test analysis it is known that the calculated t value is better, and for SAIFI it is known that the calculated SAIDI data is also better.
Rekonfigurasi Jaringan Distribusi Radial 65 Bus Berbasis Binary Particle Swarm Optimization (BPSO) Ali, Machrus; Nurohmah, Hidayatul; Ajiatmo, Dwi
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.52 KB) | DOI: 10.32492/jeetech.v3i1.3108

Abstract

The configuration of a radial distribution network is difficult to simplify because it is very complex. This network reconfiguration is used to redesign the configuration of the radial distribution network by opening and closing switches on the distribution network. The feeder of Purwoasri, The feeder of Purwoasri, Rayon Kertosono has 65 buses which cause the Mojokerto area to have a very large loss so it needs to be reconfigured.. The resulting power flow will result in network power losses due to configuration. The reconfiguration process will be repeated until a configuration form that produces the smallest power losses is obtained. The number of feeders and buses on the network will be difficult if done manually and takes a very long time, so solving the problem must use a computer program. Network reconfiguration using the Matlab 2013a program will analyze its power flow using the Newton Raphson method and using the Binary Particle Swarm Optimization (BPSO) artificial intelligence method. Before reconfiguration, the network experienced losses of 1169,1374 kWatt after reconfiguration experienced losses of 635,7444 kWatt. The results of the reconfiguration can reduce losses of 635,74440 kWatt or 45,6228 % from the previous loss.
Komparasi PID, FLC, dan ANFIS sebagai Kontroller Dual Axis Tracking Photovoltaic berbasis Bat Algorithm Nurohmah, Hidayatul; Ali, Machrus; Ajiatmo, Dwi
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.001 KB)

Abstract

Photovoltaic is a renewable electrical energy generator that is very suitable for tropical countries that get a lot of sunlight. However, this generator has low efficiency. To overcome this deficiency, several researchers have optimized the conventional dual-axis tracking solar method. Research is needed to optimize using artificial intelligence, in this case, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Bat Algorithm (BA). By comparing the performance of the model without control, conventional PID model, PID Auto tuning MatLab, Fuzzy Logic Controller (FLC) method, ANFIS method, and ANFIS-BA method. The simulation results show that the best model design on the horizontal axis and vertical axis dual tracking photovoltaic is ANFIS-BA with the smallest overshot, smallest undershot, and the fastest settling time of all model designs.
Optimasi PID Kontroller Pada Sistem Pengaturan Irigasi Menggunakan Metode Bat Algorithm (BA) Hasib Al isbilly, Mohammad; Siswanto, Markhaban; Ali, Machrus; Agil Haikal, Muhammad
Jurnal JEETech Vol. 3 No. 2 (2022): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.979 KB) | DOI: 10.32492/jeetech.v3i2.3205

Abstract

Provision of irrigation water on agricultural land aims to meet crop water needs. In its utilization, irrigation water must be used optimally. An automatic irrigation system is needed that is able to provide water for plants with the expected conditions. PID (Proportional, Integral and Derivative) is widely used for optimization of control systems. In irrigation control system and sensor connection with software program (Matlab 2013b). PID simulation was applied to the irrigation prototype used to increase efficiency and determine the amount of irrigation water to regulate the provision of irrigation water as needed. As a comparison controller, conventional PID (PID-Konv) was used, Matlab auto tuning PID (PID-Auto), and Bat Algorithm tuning PID (PID-BA). The simulation results show that PID-BA is the best method in the simulation with the smallest overshot (0.043) and the fastest settlingtime (84 seconds).