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All Journal Jurnal Komputer Terapan Journal Geuthee of Engineering and Energy
Gunawan, Khairul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Hybrid wind power generation system controller - PMSG with fuel cell using fuzzy logic controller Gunawan, Khairul; Putri, Raihan
Journal Geuthee of Engineering and Energy Vol 2, No 2 (2023): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v2i2.29

Abstract

The increasing of the world energy demand affects energy source, especially in conventional energy will be scarce. Various of expert innovations emerge to exploit alternative energy as an energy source changing conventional energy. However, to produces electric power depend on energy source which is received, such as wind power system can produces electiric power if there is only wind velocity and fuel cell. Hybrid system integrates both of energy sources to increase the system power and reliability. This research simulates wind power system with fuel cell in the hybrid system. This simulation uses system modelling wiht the application of Simulink MATLAB ® R2014b. The system consists of wind power system that works parallel with fuel cell, electrolyzer, storage tube and hydrogen valve controlling the hydrogen flowing system, and also switching system. In this hybrid system, if the wind power system produces electric power exceeding the load of power demands, load will be supplied by wind power system and power that is excessive will be supplied to electrolyzer to be changed into hydrogen. Conversely, if the wind power system can not supply the load demands, fuel cell will produce electricity to minimize the lack of power in the system. Hybrid power system between wind power-PMSG and fuel cell using fuzzy logic controller works good enough so that the stability and continuity of energy is maintained with a percentage 12,5% occured due to transient conditions intermediate between the wind power system and fuel cell and voltage keep.
Implementasi Cloud Computing Cluster Menggunakan Microstack Untuk Layanan Web Ridha, Muhammad Arif Fadhly; Gunawan, Khairul
Jurnal Komputer Terapan Vol 9 No 2 (2023): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v9i2.6017

Abstract

Cloud Computing is a network/internet-based computerized system, where resources, software, information and applications are provided for use by other computers in need. Cloud Computing is often used by companies to support the company's web services. The problem that is often experienced in cloud computing is downtime. Where this problem occurs because the file system or web server is an error and does not have a backup. This problem can be overcome by means of cloud computing cluster techniques that can provide web services that have high availability. Clusters consist of different servers working together to ensure that downtime of critical resources is reduced to a minimum with the aim of ensuring that critical resources reach maximum availability which is known as high availability. For the implementation of cloud computing clusters, we need a platform that has tools that can support these needs. One of the platforms that can be used is OpenStack, OpenStack is a free software and open-source software platform for cloud computing, mostly used as Infrastructure as a Service (IaaS) . One of the packages released by OpenStack is MicroStack which contains tools from OpenStack to build clusters in cloud computing. The result of this research is the achievement of high availability on web server services where web services can still be accessed when two nodes are turned off and when one of the servers is turned off. CPU usage increases when there are multiple number of http requests when multiple nodes are shut down and also when one of the physical servers is shutting down. Memory usage also increases when multiple nodes are shut down and also when one of the physical servers is shutting down.
Co-Authors Muhammad Arif Fadhly Ridha Raihan Putri