Optimisasi Kompensasi Daya Reaktif pada Jaring 500 kV Sistem Jawa-Bali Menggunakan Artificial Immune System Melalui Clonal Selection Algorithm (CSA)

Rosyadi, Marwan (2006) Optimisasi Kompensasi Daya Reaktif pada Jaring 500 kV Sistem Jawa-Bali Menggunakan Artificial Immune System Melalui Clonal Selection Algorithm (CSA). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tesis ini merepresentasikan penerapan Artificial Immune System (AIS) untuk menyelesaikan permasalahan kompensasi daya reaktif yang meliputi penentuan lokasi, penentuan kembali dan ukuran shunt capacitor pada suatu jaring-jaring transmisi tenaga listrik. Pada permasalahan peletakan shunt capacitor, batasan operasi kapasitor, profil beban, level tegangan pada tiap-tiap bus merupakan batasan-batasan yang harus dipertimbangkan pada saat meminimais rugi-rugi pada saluran. Pada metode yang diusulkan fungsi objektif dan batasan-batasan merupakan input antigen. Melalui clonal selection algorithm (CSA) dan affinity maturation, metode akan menyeleksi satu antibodi yang tepat yang merupakan solusi permasalahan. Jaring 500 kV sistem Jawa Bali dan jaring 26-bus test system merupakan plant yang digunakan untuk implementasi AIS. Berdasarkan hasil simulasi dan analisis, kemampuan AIS dalam penyelesaian permasalahan dapat keluar dari lokal optimum dan mendekati solusi global optimum.
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This thesis presents a new artificial immune system (AIS) based approach for the simultaneous reactive power compensation, optimal placement, replacement and sizing of shunt capacitor on transmission power system. In the shunt capacitor placement problem, those practical capacitor operating constraints, load profiles and allowable voltage limits at different load levels are all considered while the investment cost and energy loss are minimized. In the proposed method, objective functions and constraints are represented as antigens. Through the Clonal Selection algorithm and affinity maturation, an antibody that most fits the antigen becomes the solution. The proposed method has been applied to a 500 kV Jawa-Bali grid system and a 26-bus test system. As a result, the proposed algorithm for solving problem escapes local optimum and converges to near global solution.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Peletakan Kapasitor, Artificial Immune System, Clonal Selection Algorithm, Optimisasi , Capacitor placement, Artificial Immune System, Clonal Selection Algorithm, Optimization.
Subjects:	R Medicine > RC Internal medicine > RC78.7.U4 Ultrasonic imaging.
Divisions:	Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	30 Sep 2026 01:43
Last Modified:	30 Sep 2026 01:43
URI:	http://repository.its.ac.id/id/eprint/145055

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