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Electrical Load Control Using PIR Sensor for IoT-based Electrical Power Saving Suprianto; Frianto, Heri Trisna; Abidin, Ahmad Farid Bin; Idros, Mohd Faizul bin Md; Razak, Abdul Hadi Abdul
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.252

Abstract

Wasteful use of electrical energy, apart from the use of electrical loads, is also caused by wasteful and uncontrolled use of electrical loads. Electrical energy that is not used as needed causes electricity waste. This research aims to use the IoT system for electrical automation and monitoring the amount of electricity in a room. In this way, saving electricity and monitoring the amount of electricity can be done easily through the IoT system at anytime and anywhere. The method used in this research is an experimental method, namely designing equipment according to the planned system and preparing a program according to the desired tool working system. The research object is the electrical load in three rooms consisting of three load groups, each load group is represented by a PIR sensor light, namely the equipment used is the PZEM sensor, PIR sensor, RTC, ESP 32, Triac, Optocoupler, and other supporting equipment. The results of the research show that the equipment has worked well and has been tested well, electricity savings are shown through the monitor on the Android cellphone using the Blynk application which was previously installed. Every time there is a person in the room, the PIR sensor always detects the object and activates the electrical load and vice versa. Apart from that, the cellphone monitor screen also displays from time to time the amount of electricity used by the load, including the electrical energy used and the electrical energy savings that can be done.
IMPLEMENTASI SISTEM OTOMATISASI KELISTRIKAN UNTUK PENGHEMATAN KONSUMSI DAYA LISTRIK Suprianto, Suprianto; Frianto, Herri Trisna; Abidin, Ahmad Farid Bin; Md Idros, Mohd Faizul bin; Razak, Abdul Hadi Abdul
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Publisher : RELE (Rekayasa Elektrikal dan Energi) : Jurnal Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rele.v6i2.17349

Abstract

The use of electrical energy that is not used as needed will cause waste of electrical energy. This research aims to implement an IoT system for building electrical automation and monitoring the amount of electricity in a room. In this way, saving electricity and monitoring the amount of electricity can be done easily through the IoT system at any time and anywhere. The method used in this research is an experimental method, namely designing equipment according to the planned system and preparing a program according to the desired tool working system. The research object is the electrical load in three rooms consisting of three load groups, each load group is represented by a PIR sensor light, namely the equipment used is the PZEM sensor, PIR sensor, RTC, ESP 32, Triac, Optocoupler, and other supporting equipment. The results of the research show that the equipment has worked well and has been tested well, electricity savings are shown through the monitor on the Android cellphone using the Blynk application which was previously installed. Every time there is a person in the room, the PIR sensor always detects the object and activates the electrical load and vice versa. Besides that, the cellphone monitor screen also displays from time to time the amount of electricity used by the load, including the electrical energy used and the electrical energy that can be saved.
Metaheuristics-based maximum power point tracking for PV systems: a review Jamhari, Muhammad Khairul Azman Mohd; Hashim, Norazlan; Othman, Muhammad Murtadha; Abidin, Ahmad Farid Bin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2495-2513

Abstract

Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods. The most employed conventional methods include perturb and observe (P&O), hill climbing (HC), and incremental conductance (INC), due to their simplicity and ease of implementation. However, under partial shading condition (PSC), none of them can effectively locate a global maximum power point (GMPP) out of many local maximum power points (LMPPs). This results in significant power loss during PSC, prompting the development of various metaheuristic-based MPPT methods to address the problem. This paper reviews 38 existing metaheuristic-based MPPTs and 27 metaheuristic methods that have not yet been applied to any MPPT operation up to date. Metaphorically, these methods are divided into four categories: (i) evolutionary-based, (ii) physics-based, (iii) swarm-based, and (iv) human-based. The different MPPTs are compared in terms of complexity, converter topology, and PSC tracking capability. This paper is intended to serve as a one-stop resource for any researcher, practitioner, or advanced student seeking to develop a new metaheuristic-based MPPT method.