Dynamic Economic Emission Dispatch Menggunakan Metode Multiple Inertia Weight Particle Swarm Optimization (MIW-PSO) dengan Batasan Ramp Rate

Auzan, Muhammad Wildan (2024) Dynamic Economic Emission Dispatch Menggunakan Metode Multiple Inertia Weight Particle Swarm Optimization (MIW-PSO) dengan Batasan Ramp Rate. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan kebutuhan energi listrik berdampak pada penambahan kapasitas pembangkitan sehingga meningkatnya kebutuhan bahan bakar. Emisi yang dihasilkan juga menjadi efek samping dari pembangkitan. Teknik optimasi multi-objective untuk kedua permasalahan tersebut dikenal dengan Dynamic Economic Emission Dispatch (DEED)menggunakan metode algoritma Multiple Inertia Weight Particle Swarm Optimization (MIW PSO). Penyelesaian optimasi DEED memperhatikan Batasan pembangkitan dan ramp rate pembangkit. Hasil simulasi menunjukkan saat fungsi emisi yang diprioritaskan, maka nilai emisinya berkurang namun biayanya meningkat. Sedangkan, saat fungsi biaya yang diprioritaskan, maka nilai biayanya berkurang namun emisinya meningkat. Kemudian, untuk prioritas pembobotan seimbang nilai biaya yang diperlukan akan menurun jika dibandingkan dengan prioritas pembobotan emisi dan emisi yang dihasilkan juga lebih sedikit daripada saat prioritas pembobotan biaya. Fungsi tujuan gabungan total antara biaya dan emisi diperoleh dengan mentransformasi nilai emisi ke dalam satuan biaya melalui rasio Price Penalty Factor (PPF). Pada prioritas pembobotan seimbang, nilai biaya dan emisi rata-rata dari lima kali running yang dihasilkan oleh program MIW-PSO berturut-turut adalah 537.954 $/jam dan 72.631,8 Kg/jam. Nilai ini lebih rendah jika dibandingkan dengan program MOPSO yaitu 575.034 $/jam dan 73.108 Kg/jam. Hal ini menunjukkan bahwa kemampuan optimasi program MIW-PSO lebih efektif dibandingkan dengan program MOPSO.
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The increase in demand for electrical energy has an impact on the addition of generation capacity, thus increasing the need for fuel. Emissions are also a side effect of generation. The multi-objective optimization technique for both problems is known as Dynamic Economic Emission Dispatch (DEED) using the Multiple Inertia Weight Particle Swarm Optimization (MIW-PSO) algorithm method. The DEED optimization solution considers generation constraints and generation ramp rates. The simulation results show that when the emission function is prioritized, the emission value decreases but the cost increases. Meanwhile, when the cost function is prioritized, the cost value decreases but the emission increases. Then, for a balanced weighting priority, the value of the required cost will decrease when compared to the emission weighting priority and the resulting emissions are also less than when the cost weighting priority. The total joint objective function between cost and emissions is obtained by transforming the emission value into cost units through the Price Penalty Factor (PPF) ratio. At a balanced weighting priority, the average cost and emission values from five runs produced by the MIW-PSO program were 537,954 $/hour and 72,631.8 Kg/hour, respectively. This value is lower when compared to the MOPSO program which is 575,034 $/hour and 73,108 Kg/hour. This shows that the optimization capability of the MIW-PSO program is more effective than MOPSO.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Dynamic Economic Emission Dispatch (DEED), Multiple Inertia Weight Particle Swarm Optimization (MIW-PSO), Ramp Rate, Price Penalty Factor (PPF), Dynamic Economic Emission Dispatch (DEED), Multiple Inertia Weight Particle Swarm Optimization (MIW-PSO), Ramp Rate, Price Penalty Factor (PPF)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Wildan Auzan
Date Deposited:	01 Aug 2024 04:00
Last Modified:	01 Aug 2024 04:00
URI:	http://repository.its.ac.id/id/eprint/111727

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