Optimisasi Economic Dispatch Pembangkit Termal Sistem 500 Kv Jawa Bali Menggunakan Modified Improved Particle Swarm Optimization (MIPSO)

Ilyas, Andi Muhammad (2010) Optimisasi Economic Dispatch Pembangkit Termal Sistem 500 Kv Jawa Bali Menggunakan Modified Improved Particle Swarm Optimization (MIPSO). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Biaya bahan bakar sebuah pembangkit termal merupakan fungsi beban pembangkit tersebut. Kemampuan memikul beban menentukan keandalan sistem energi listrik, sehingga selalu diupayakan besar daya yang dibangkitkan harus sama dengan besar kebutuhan di sisi beban setiap saat. Pada unit pembangkit termal pertambahan beban akan mendorong pertambahan jumlah bahan bakar per satuan waktu dan pada akhirnya akan meningkatkan pertambahan biaya per satuan waktu, yang biasa disebut input output suatu pembangkit tenaga listrik. Persoalan economic dispatch mempunyai batasan equality dan inequality yang kompleks, sehingga sulit menentukan nilai optimum global dengan meng-gunakan pendekatan konvensional. Pada penelitian ini diaplikasikan Modified Improved Particle Swarm Optimization (MIPSO) untuk menghitung economic dispatch. Constriction Factor Afroach (CFA) digunakan untuk memodifikasi algoritma IPSO karena mempunyai keunggulan untuk meningkatkan kemampuan global searching dan terhindar dari local minimum sehingga waktu yang dibutuhkan untuk konvergen lebih cepat. Hasil simulasi yang diperoleh menggunakan metode Modified Improved Particle Swarm Optimization (MIPSO) pada saat terjadinya beban puncak Hari Selasa, Tangga 17 Maret 2009, Jam 1920 WIB dengan pembebanan sebesar 9602 MW diperoleh biaya pembangkitan sebesar Rp. 7,366,912,798.34/ jam. Sedangkan biaya pembangkitan pada real system sebesar Rp. 7,724,012,070.30/jam. Dari hasil simulasi ini dapat disimpulkan bahwa Modified Improved Particle Swarm Optimization (MIPSO) mampu merduksi biaya pembangkitan pada sistem transmisi 500 kV Jawa Bali sebesar Rp. 357,099,271.96/jam atau 4,64%.
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Fuel cost of a thermal generator is its own load functions. The generator capability of handling loads determines the electrical energy system reliability, therefore the power generated must be greater than demands on the load side at any instant. In thermal generating units, increasing of loads leads to increase the amount of fuel per time unit, which is usually called input-output of a generator. Economic dispatch problems have complex equality and inequality constraints, that causes difficulity in determining global optimum value using conventional approach. In this research, Modified Improved Particle Swarm Optimization (MIPSO) is applied to calculate economic dispatch. Constriction Factor Afroach (CFA) is used to modify IPSO algorithm because of the advantage to improve the ability of global searching and avoid local minimum so that the time needed to converge become faster. Simulation results achieved by using Modified Improved Particle Swarm Optimization (MIPSO) method at the time of peak load on Tuesday, March 17, 2009, at 7.30 pm with load of of 9602 MW, obtained generation cost is Rp 7,366,912,798,34 per hour, while generation cost of real system is Rp. 7,724,012,070.30 per hour. From the simulation result can be concluded that Modified Improved Particle Swarm Optimization (MIPSO) can reduce the generation cost of 500 kV Jawa Bali transmission system of Rp 357,099,271.96 per hour or equal to 4,64%.

Item Type:	Thesis (Masters)
Additional Information:	RTE 621.31 Ily o 2010 3100010041381 (WEEDING)
Uncontrolled Keywords:	Constriction Factor Afroach (CFA), Economic Dispatch (ED), Modified Improved Particle Swarm Optimization (MIPSO)
Subjects:	Q Science > Q Science (General) > Q180.55.M38 Mathematical models Q Science > Q Science (General) > Q337.3 Swarm intelligence T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves).
Divisions:	Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Anis Wulandari
Date Deposited:	19 Aug 2026 04:29
Last Modified:	19 Aug 2026 04:29
URI:	http://repository.its.ac.id/id/eprint/133082

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