Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA

Muhammad Arrohman, Risky Fajardika, Muhlasin Muhlasin, Machrus Ali


The power of the generating system is strongly influenced by frequency changes. The wind generating system is strongly influenced by the magnitude and speed of the agin as input power. The wind-diesel combined generating system is required to obtain optimum power quality. The hybrid swarm system is a controlled network of some renewable energy generation such as: wind turbine, solar cell, micro hydro and so on. Not optimal setting gain and small constant time on Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, wind-diesel systems are controlled with PID controller. Setting the gain value of the PID is still in the conventional method, making it difficult to get the optimal value. In this research applied control design by using Intelligent Method in finding the optimum value of Proportional Intergral Derivative (PID) to adjust load frequency with Matlab / Simulink program. This research uses Ant Colony Optimization (ACO) and Modification Firefly Algorithm (MFA). For comparison methods are used without control method, conventional PID method and matlab auto tuning method. Wind-diesel modeling uses the transfer function of diagram of wind turbine and diesel. The study compared several uncontrolled methods and conventional PID, ACO, with FA and MFA. The results show that the smallest undershoot is PID-MFA Controller of -1.529.10-4 and the fastest settling time on the PID-ACO controller 11.5 seconds


ACO; Frequency; MFA; PID; Wind-Diesel

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Robandi,I. Modern Power System Control. ANDI, Yogyakarta. 2006.

Robandi,I. Desain Sistem Tenaga Modern: Optimasi, Logika Fuzzy, dan Algoritma Genetika.ANDI. 2006.

Abidin,Z, Pengaturan Frekuensi Beban Hibrid Turbin Angin Diesel Dengan Menggunakan Algoritma Genetika. Jurnal Teknika. 2010.

T.S. Bhatti, Load frequency control of isolated wind diesel hybrid power systems Sciencedirect: Energy Conversion and Management.1995.

Mohit Singh. Dynamic Models for Wind Turbines and Wind Power Plants. 2011.

Tan Wen, Load frequency control for wind-diesel hybrid systems. Control Conference (CCC), 2011 30th Chinese.

Hou,J. Load frequency control of wind diesel hybrid power systems via predictive control. Control Conference (CCC), 2012 31st Chinese.

Machrus Ali, Akemad Suhadak, Optimisasi Steering Control Mobil Listrik Auto-Pilot Menggunakan Metode Firefly Algorithm (FA), Semnasinotek-2017, UN PGRI, Kediri, pp:61-68.

Rukslin, Muhamad Haddin, Agus Suprajitno, Pitch Angle Controller Design on the Wind Turbine with Permanent Magnet Synchronous Generator (PMSG) Base on Firefly Algorithms (FA), ISEMANTIC-2016, IEEE International Conference, Udinus, Semarang, pp: 13-17.

Dwi Ajiatmo, Agus Raikhani, Desain Optimasi LFC Pada Micro-Hydro Menggunakan Metode Ant Colony Optimization (ACO), Semnasinotek-2017, UN PGRI, Kediri, pp: 75-81

Mochammad Nur Masrukhan, Mochamad Piono Mulyo, Dwi Ajiatmo, Machrus Ali, Optimasi Kecepatan Motor DC Menggunakan PID Dengan Tunning Ant Colony Optimization (ACO) Controller, SENTIA-2016, Polinema, Malang, pp: B49-B52

Rukslin, Muhlasin, Penggunaan Methode Ant Colony Algorithm untuk Pengaturan Pitch Angle pada Turbin Angin, Semnasinotek-2017, UN PGRI, Kediri, pp: 35-42

Dorigo M, St ¨ utzle T. Ant Colony Optimization. Cambridge (MA): MIT Press; 2004.

Yang, X.-S. Firefly algorithm, Levy flights and global optimization. Research and Development in Intelligent Systems XXVI, 26, 2010, pp: 209-218.

DOI: http://dx.doi.org/10.21776/ub.jrm.2018.009.01.10


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