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All Journal International Journal of Applied Power Engineering (IJAPE) PROtek : Jurnal Ilmiah Teknik Elektro
Rahman, Muhammad Natsir
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Single-phase distributed generations for power balanced using adaptive real coded genetic algorithm Umar, Umar; Faanzir, Faanzir; Iswan, Iswan; Rasyid, Ramly; Rahman, Muhammad Natsir; Khairan, Amal; Haryati, Haryati
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i1.pp11-19

Abstract

Easy access to distributed generation (DG) technology is promoting the utilization of single-phase DGs for residential purposes. Surplus energy generated by household DGs can be shared or sold to other communities through existing networks. However, the interconnection of single-phase DGs from residential generators to the distribution network requires careful handling to secure the reliability and quality of the electric power system. This paper focuses on the optimal placement of single-phase multi-type DGs on unbalanced distribution systems that are connected to nonlinear loads. The objective of this study is to minimize the power losses and voltage unbalances in the distribution networks. To verify the efficacy of this method in reducing voltage unbalances and harmonics, an optimization approach is also presented using three-phase DG. Optimal placement of DG is performed on a modified Kaliasin distribution system using an adaptive real coded genetic algorithm (ARC-GA). Simulation results demonstrate that the installation of single-phase DGs is highly effective in reducing power losses and voltage unbalances in the distribution networks.
On-Grid Photovoltaic (PV) - Battery - PLN for Smart Home System Abdurrahman, Tanridio Silviati Delfina; Basalamah, Abdullah; Salmiah, Salmiah; Rahman, Muhammad Natsir
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7089

Abstract

Electricity is one of basic human needs. However, PLN's ability to meet customer demands is hampered by its limitations. On the other hand, the sunny geographical advantage of Makassar city can be utilized as a new renewable and environmentally friendly energy source in a smart home. Smart house is a family residence that is able to synergize electricity usage based on the habits of its residents with the help of smart technology so that comfort, safety and efficiency of using electrical energy are obtained. The utilization of solar cell hybrid power – battery – PLN can be implemented in addition to meeting the needs of electricity load in the smart home, it can also contribute excess energy to fulfill off-grid building load.  Monte Carlo Simulation (MCS) is carried out at the beginning of data processing by randomly generating 24-hour models of solar irradiance and smart home load requirements along with weather conditions. PLN not only takes over fulfilling the needs of the smart home load when there is less and or no sunlight and minimum battery capacity conditions, but also it will charge the battery capacity up to 100% every midnight. On average, the daily load requirement for a smart home is almost half the energy produced by PVs, which are 12,439 kW and 24,509 kW respectively. Furthermore, the smart home hybrid power is capable of producing 8,946 MW of excess energy in a year to serve the off-grid building load needs.
Co-Authors Abdurrahman, Tanridio Silviati Delfina Amal Khairan BASALAMAH, ABDULLAH Faanzir, Faanzir Haryati Haryati Iswan Iswan Rasyid, Ramly Salmiah Salmiah Umar Umar