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All Journal International Journal of Electrical and Computer Engineering PROtek : Jurnal Ilmiah Teknik Elektro Journal of Electrical Technology UMY Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering Patria Artha Technological Journal INTEK: Jurnal Penelitian Journal Of Khairun Community Services
Sirad, Mochammad Apriyadi Hadi
Department Of Electrical Engineering, Faculty Of Engineering Universitas Khairun
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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Journal : PROtek : Jurnal Ilmiah Teknik Elektro

 1 
Optimal Power Flow For Non-Smooth Cost Function Using Particle Swarm Optimization On 150 Kv System Muh Rais; Bustamin Bustamin; Mochammad Apriyadi Hadi Sirad
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): 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.v10i1.4709

Abstract

Optimal power flow by considering the non-smooth cost curve using the meta-heuristic algorithm method, namely particle swarm optimization (PSO) in the 150 kV Sulselrabar electrical system. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. In this study, the PSO algorithm was used to optimize optimal power flow so that the cheapest generation price was obtained with a non-smooth cost curve and still considered the limitations of similarity and inequality. From the results of generation optimization using the Particle Swarm method, it produces the cheapest generation costs from other methods, namely Rp. 93,498,916.1,- / hour to generate power of 270.14 MW with losses of 25.73 MW. The Particle Swarm Optimization (PSO) method is able to reduce the cost of generating the Sulselrabar system by Rp. 34,382,857.58 / hour or 26.89%. From the results of generation optimization using the Ant Colony method, it resulted in a total generation cost of Rp. 94670335.98 / hour to generate power of 270,309 MW with losses of 25.91 MW. The Ant Colony method is able to reduce the cost of generating the Sulselrabar system by Rp. 33,211,437.70 / hour or 25.98%. From the results of generation optimization using the lagrange method, it resulted in a total generation cost of Rp. 117,121,631.08 / hour to generate power of 339.4 MW with losses of 25,016 MW. The lagrange method is able to reduce the cost of generating the Sulselrabar system by Rp. 10,760,142.60 / hour or 8.41%. The artificial intelligence method based on Particle Swarm Optimization (PSO) can well perform optimization of Optimal Power Flow, from the results of the analysis obtained the cheapest generation cost compared to the comparison method, Lagrange Method and Ant Colony artificial intelligence method.
Optimasi Sistem Pembangkit Listrik Tenaga Angin Dan Pembangkit Listrik Tenaga Diesel Berbasis Fuzzy Logic Sirad, Mochammad Apriyadi Hadi
PROtek : Jurnal Ilmiah Teknik Elektro Vol 6, No 2 (2019): 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.v6i2.1253

Abstract

Penelitian ini bertujuan untuk mengetahui potensi energi angin di Kabupaten Pangkep, kapasitas daya yang mampu tenaga angin, simulasi logika Fuzzy sistem hibrida dalam melayani beban, dan mengetahui sistem operasi ekonomis Hybrid Wind Power dan Solar Power. Untuk mengetahui kapasitas daya mampu kemudian melakukan tes dengan memberikan beban mulai dari beban rendah, menengah, dan tinggi pada angin pembangkit listrik simulasi fuzzy logic. digunakan untuk sistem Hybrid menggabungkan tenaga angin dan Genset dalam sistem bekerja sama dalam pelayanan beban. Sedangkan hasil perhitungan harga ekonomis kWh yang diperoleh pada sistem hibrida tenaga angin dan tenaga diesel Rp 2.076/kWh lebih mahal daripada harga tenaga angin Rp 773/kWh tapi lebih murah dibanding rupiah. Genset 2240/kWh. Dengan kombinasi sistem hibrida angin powerand diesel Power maka dapat mengurangi biaya operasi, yaitu bahan bakar selain mampu memberikan pasokan tenaga listrik yang berkesinambungan
Co-Authors Achmad , Alamsyah Agustiawan, Agustiawan Amaliah, Asma Aminuddin, Rosihan Aminuddin, Rosihan Azis, Muhammad Rais Bambang Tjiroso Bustamin Bustamin Hadi, Rian Maulana Hafid Saifudin Hendrawan, Beni I Gusti Wayan Murjana Yasa Isman, Muh Lukman, Musfirah Putri M. Yunus Hi Abbas Muh Rais MUH RAIS Muhammad Rais Muhira Dzar Faraby, Muhira Dzar Mustika Mustika Rais, Sandi Rintania Elliyati N Rosihan Aminuddin Sofyan , Sofyan sofyan sofyan Sonita, Anisya Syarif Hidayatullah Syarif, Irwan Taha, Syamsumarlin Tahir, Tamus Bin Tamus Bin Tahir Thaha, Sarma Usman Usman Yuli Asmi Rahman