A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimasi Injeksi Photovoltaic Distributed Generations (PVDG) Menggunakan Metode Algoritma Genetika
The best solution of the problem of electrical energy crisis in Indonesia, with the utilization of renewable energy sources that are environmentally friendly, economical, sustainable, and technically easily to implemented. The model system proposed in this paper is the Photovoltaic Distributed Generation (PVDG). This paper discuss modeling PVDG by searching injection placement and size us Genetic Algorithm. Optimization is done with the concept of the four scenarios increase the value of the injection. The scenario used was an increase in injection rate + 10%, + 20% + 30% and + 40% from the initial source of generation. The obtained results show the system ideal conditions is contained in the scenario-4. The results found that 8 locations with a variety of sizing power. PVDG scenario-4 modeling results show the ability of the system to minimize power loss from 13,15% to 1,30% and the highest voltage drop -25% to -8,5% of nominal voltage.Index Terms—Photovoltaic, Distributed Generations, PVDG, Genetic Algorithm.
Optimasi Injeksi Photovoltaic Distributed Generations (PVDG) Menggunakan Metode Algoritma Genetika
The best solution of the problem of electrical energy crisis in Indonesia, with the utilization of renewable energy sources that are environmentally friendly, economical, sustainable, and technically easily to implemented. The model system proposed in this paper is the Photovoltaic Distributed Generation (PVDG). This paper discuss modeling PVDG by searching injection placement and size us Genetic Algorithm. Optimization is done with the concept of the four scenarios increase the value of the injection. The scenario used was an increase in injection rate + 10%, + 20% + 30% and + 40% from the initial source of generation. The obtained results show the system ideal conditions is contained in the scenario-4. The results found that 8 locations with a variety of sizing power. PVDG scenario-4 modeling results show the ability of the system to minimize power loss from 13,15% to 1,30% and the highest voltage drop -25% to -8,5% of nominal voltage.Index Terms—Photovoltaic, Distributed Generations, PVDG, Genetic Algorithm.
Optimasi Injeksi Photovoltaic Distributed Generations (PVDG) Menggunakan Metode Algoritma Genetika
Zainuddin, Muammar (author) / Suyono, Hadi (author) / Dachlan, Harry Soekotjo (author)
2014-08-20
Jurnal EECCIS; Vol 8, No 2 (2014); pp.199-203 ; 2460-8122 ; 1978-3345
Article (Journal)
Electronic Resource
English
DDC:
690
Perancangan Aplikasi Penjadwalan Traveling Salesman Problem dengan Algoritma Genetika
| DOAJ | 2012
OPTIMASI PRODUKSI MALTODEKSTRIN BERBASIS PATI SAGU MENGGUNAKAN α-AMILASE DAN METODE SPRAY DRYING
| DOAJ | 2017
Optimasi Produksi Asap Cair Dari Kayu Medang (Cinnamomum sp.) Menggunakan Metode Permukaan Respon
| BASE | 2020