Krisis energi khususnya energi fosil seperti minyak bumi dan permasalahan dampak lingkungan yang diakibatkan oleh pemakaian energi yang tidak ramah lingkungan mendorong dunia dan pemerintah Indonesia untuk mempercepat pemanfaatan energi terbarukan seperti energi air, energi angin, energi matahari (surya), dan lain-lainnya. Salah satu cara pemerintah untuk mempercepat pemanfaatan energi terbarukan adalah melaksanakan program Desa Mandiri Energi (DME). Hybrid Optimization Model for Electric Renewables (HOMER) berfungsi untuk mendesain sistem micropower dan untuk memfasilitasi perbandingan teknologi pembangkit tenaga listrik. Peneliti dapat memodelkan sistem tenaga berdasarkan perilaku secara fisik dan biaya secara keseluruhan, dimana merupakan total biaya pemasangan dan operasi dari sistem selama sistem tersebut beroperasi. HOMER memperbolehkan pemodel untuk membandingkan berbagai macam bentuk desain sistem secara teknis dan ekonomi. Penelitian ini dilakukan di Desa Lombongo, Kecamatan Suwawa, Kabupaten Bone-Bolango Gorontalo. Dari beberapa pemodelan yang didapatkan dapat disimpulkan bahwa kombinasi pembangkit mikrohidro dan surya memiliki nilai ekonomis paling menguntungkan jika dioperasikan selama 25 tahun dengan nilai Net Present Cost (NPC) yaitu US$-369.087,00 dengan Level Cost of Energy (LCOE) sebesar-0,106 US$/kWh dibawah level biaya energi dari PLN sebesar 0,116 US$/kWh yang membuat pembangkit hibrid ini sangat bersaing. Pembangkit hybrid ini memiliki kapasitas pembangkit mikrohidro 58,9 kW dengan produksi per tahun 657.384 kW, dan pembangkit surya berkapasitas 15,7 kW dengan produksi per tahun 20.091 kW.
Optimal reactive power dispatch (ORPD) is a way to improve power system performance. Determination of the optimal value of the control variable can reduce the objective function to be achieved. The optimization of the two objective functions simultaneously is called multi-objective ORPD (MORPD). This research has a major contribution in proposing and utilizing original ideas from new algorithms and new ideas from the old algorithm to solve more complex variables and challenging ORPD problems. The ORPD problem is formulated as a nonlinear model with variables consisting of continuous and discrete. The proposed multi-objective algorithm is time-varying particle optimization (MOTVPSO), ant lion objective (MOALO), dragonfly algorithm (MODA), grey wolf optimizer (MOGWO), and multi-objective multi-verse optimization (MOMVO). To measure the effectiveness of those algorithms, testing is performed on the IEEE 57-bus. The simulation results show that the MOTVPSO algorithm can contribute more dominantly from the statistical tests conducted compared to previous studies and all four algorithms in this work to minimize real power loss. Whereas the MOMVO has an advantage in computational time efficiency.
Wind energy conversion system, one of the main components is a Permanent Magnet Synchronous Generator (PMSG). During the past two decades, many types of permanent magnet generators for wind power applications have been the research topic.This study focuses primarily on designing a PMSG to create, simulate, and analyze an internal permanent magnet topology with twelve plots and eight poles. We limit with the simulation was carried out at a rotational speed of 1000rpm, and a type of permanent magnet material, Ceramic 11, SmCo 26/26, and NdFeB 48/11. The result of the analysis is that permanent magnets applied in the design of a generator impact its output power and efficiency. At 15 Ω and 60 Ω loads, SmCo 26/26 and NdFeB 48/11 are the only ones that fulfill the specified requirements in this investigation.The permanent magnet type with the most optimal characteristics is Neodymium Iron Boron 48/11 because it has a high flux density, thus causing the electrical energy generated to be greater than other types of permanent magnets. The 48/11 NdFeB permanent magnet generates the most output power, 2110.86 W when loaded with 15 Ω. The best efficiency of 89.38 percent for the PMSG 12 slot eight poles occurs when the load is 15 on the 48/11 NdFeB permanent magnet.
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