Article Per Year (5 Year)
p-Index From 2019 - 2024
3.212
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electronics and Instrumentation Systems Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi CYCLOTRON Multitek Indonesia : Jurnal Ilmiah Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Nasional Teknik Elektro dan Teknologi Informasi POLIGRID
Novendra Setyawan
Universitas Muhammadiyah Malang
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Indonesian Journal of Artificial Intelligence and Data Mining

 1 
Optimization of Technical and Economical Objective Functions of Hybrid Renewable Energy Generation Based Genetic Algorithm Novendra Setyawan; Zulfatman Zulfatman; Haris Rahmana Putra; Muhammad Ikhwanul Khair
Indonesian Journal of Artificial Intelligence and Data Mining Vol 4, No 1 (2021): March 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v4i1.11690

Abstract

This study is aimed to optimize the technical and economic objective functions of a renewable energy hybrid generator system by using genetic algorithms (GA) in order to create a balanced and optimal power generation system configuration. The technical and economic aspects used were the Loss of Power Supply Probability (LPSP) and Annualized Cost of System (ACS), respectively. The objective functions of GA method were LPSP and ACS. The types of power plants used in this hybrid system were photovoltaic (PV), Wind Turbine (WT), battery, and Micro Hydro Power Plant (MHPP). Validation on the GA method was done by simulation in Matlab. Results of the simulation show that the use of the GA offers the most balanced system configuration with less expensive costs and a very good level of system reliability against hybrid systems. The use of the objective function with penalty factor scenario in GA is not as effective as the conventional GA, following the weakness of its evaluation results.
Co-Authors Ali Mukti Amrul Faruq Amrul Faruq Anggar Kusuma Basri Noor Cahyadi Bella Retno Diding Suhardi Dwi Nur Fajar Erdiaz Rakha Praditya Ermanu Azizul Ermanu Azizul Hakim Fadhila Milenasari Ghufron Wahyu Kurniawan Haris Rahmana Putra Ilyas Hamzah Alkatiri Indah Sulistiyowati Julianto Muchtadirul Hasan Khusnul Hidayat Komarudin Achmad Leonardo Kamajaya Machmud Effendy Mardiyah, Nur Alif Mardiyah, Nuralif Mas Nurul Achmadiah Mas Nurul Achmadiah Merinda Lestandy Mohammad Chasrun Hasani Muhammad Faris Pradana Muhammad Ikhwanul Khair Muhammad Nasar Nasihol Fattah Nur Alif Mardiyah Nuralif Mardiyah Nuralif Mardiyah Nurhadi Nurhadi Nurhadi, Nurhadi Rahayu Pandunengsih Retno, Bella Syachbani Amin Hidayat Syafaah, Lailis Tamadar Al Ghufran Yudawan Hidayat Zulfatman Zulfatman Zulfatman