Perancangan Sistem Kontrol Pitch Angle Turbin Angin Skala Kecil Berbasis Imperialst Competitive Algorithm (ICA)

Fauzi, Akhmad Bakhrul (2014) Perancangan Sistem Kontrol Pitch Angle Turbin Angin Skala Kecil Berbasis Imperialst Competitive Algorithm (ICA). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem Konversi Energi Angin (SKEA) adalah salah satu energi alternatif yang dikembangkan dari pemanfaatan energi angin. Turbin angin skala kecil adalah SKEA atau turbin angin yang kapasitasnya kurang dari 10 kW. Indonesia memiliki kecepatan angin yang berubahubah dan relatif rendah. Untuk mengatasi permasalahan tersebut diperlukan sistem kontrol sudut pitch turbin angin. Pada penelitian ini dirancang sebuah sistem kontrol sudut pitch turbin angin berbasis Imperialist Competitive Algorithm (ICA). Sistem kontrol diharapkan pada kecepatan angin yang bervariasi, dapat memberikan kecepatan sudut rotor tetap stabil dan bekerja pada daerah optimal. ICA adalah sebuah evolusiner algoritma baru untuk mengoptimasi sebuah sistem yang diilhami dari kompetisi kekuasaan (Imperialist Competition). Optimasi berbasis ICA untuk sistem kontrol yang dirancang menggunakan ITAE (Integral Time Absolute Error) sebagai fungsi objektif dalam penentuan parameter kontrol PID. Hasil penelitian menujukkan kontrol PID berbasis ICA memberikan respon yang baik untuk semua uji setpoint, dan pada uji setpoint 10 pps memberikan hasil respon yang terbaik jika dibandingkan dengan setpoint yang lebih tinggi. Dengan Kp, Ki, dan Kd berurutan 1.49, 3.13 dan 0.03 memberikan lonjakan maksimal (maximum overshoot) 11.30 % dengan waktu turun (settling time) selama 1.85 detik dan secara kuantitatif nilai ITAE selama 10 detik yaitu 0.42. ==================================================================================================== Wind Energy Conversion Systems (WECS) is one of the alternative energy developed from wind energy utilization. Small-scale wind turbine is wind turbine which have capacity less than 10 kW. Indonesia has low wind speed that changes from time to time. To overcome this problem the control system of wind turbine pitch angle is required. In this study a control system of wind turbine pitch angle based on Imperialist Competitive Algorithm (ICA) is designed. The control system is expected that at varying wind speeds, it can provide rotor angular velocity remains stable and works at optimum area. ICA is a novel evolutionary algorithm to optimize a system inspired from competition rule (Imperialist Competition). ICA-based optimization control system is designed for use ITAE (Integral Time Absolute Error) as the objective function in determining the PID control parameters. The results showed that ICA-based PID control responds well to all setpoints tested, and the test results for setpoint of 10 pps provides the best response when compared others. For Kp, Ki, and Kd of 1.49, 3.13 and 0.03, respectively, it provides maximum overshoot of 11.30% with settling time of 1.85 seconds and ITAE value for 10 seconds is 0.42.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 629.836 Fau p 3100014056329
Uncontrolled Keywords: Imperialist Competitive Algorithm (ICA), SKEA, WECS
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines
T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 17 Feb 2020 07:36
Last Modified: 17 Feb 2020 07:36
URI: https://repository.its.ac.id/id/eprint/74743

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