Kontrol Frekuensi Wind-Diesel Menggunakan Hibrid Kontroller PID-BA-ANFIS


  • Machrus Ali Teknik Elektro Universitas Darul Ulum Jombang
  • Miftachul Ulum Teknik Elektro Universitas Trunojoyo Madura




Anfis, frequency, control, wind-diesel


The wind diesel system is greatly influenced by the wind speed and which is then combined with the diesel engine. Optimization of wind-diesel systems is needed to get good frequency quality and optimal power. The optimal setting of the gain and time constant on the Load Frequency Control (LFC) causes the frequency stability to be weak. In practice, the wind-diesel system is controlled by a PID controller and Fuzzy Logic Controller. At present the gain value setting of the PID is still in the conventional method, so it is difficult to get the optimal value. In this study the control design is applied by using the Smart Method in finding the optimum Proportional Integral Derivative (PID) based on Bat Algorithm (BA). For comparison, the method is used without a control method, conventional PID method, PID auto tune matlab method, PID-BA method, and PID-BA-ANFIS. Wind-diesel modeling uses the transfer function of wind turbine and diesel diagrams. From the results of research that has been done shows that the smallest undershoot on PID-BA-ANFIS, the smallest overshot on PID-BA-ANFIS, and the fastest settling time is equal to PID-BA-ANFIS. This research can later be continued using other artificial intelligence methods.


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Ali, M. and Muhlasin, M. (2017) ‘Auto-Tuning Method for Designing Matlab DC Motor Speed Control With PID (Proportional Integral Derivative)’, ADRI International Journal of Sciences, Engineering and Technology, 1(2), pp. 5–8.

Ali, M. and Robandi, I. (2015) ‘Desain Pitch Angle Controller Turbin Angin Dengan Permanent Magnetic Synchronous Generator (PMSG) Menggunakan Imperialist Competitive Algorithm (ICA)’, Prosiding SENTIA 2015 – Politeknik Negeri Malang, 7(1), pp. 2085–2347. Available at: http://sentia.polinema.ac.id/index.php/SENTIA2015/article/view/186.

Ali, M. and Suhadak, A. (2017) ‘Optimisasi Steering Control Mobil Listrik Auto-Pilot Menggunakan Metode Firefly Algorithm (FA)’, in Semnasinotek 2017, UN PGRI, Kediri. Kediri, pp. 61–68.

Ali, M., Umami, I. and Sopian, H. (2015) ‘Optimisasi Steering Control Mobil Listrik Auto-Pilot Menggunakan Metode Ant Colony Optimization (ACO)’, Jurnal Intake, 6(1), pp. 34–50. Available at: http://ejournal.undar.ac.id/index.php/intake/article/view/367.

Arrohman, M. et al. (2018) ‘Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA’, Jurnal Rekayasa Mesin, 9(1), pp. 65–68. doi: 10.21776/ub.jrm.2018.009.01.10.

Bhuvaneswari, G. and Balasubramanian, R. (2010) ‘Hybrid wind–diesel energy systems’, in Stand-Alone and Hybrid Wind Energy Systems - Technology, Energy Storage and Applications, pp. 191–215. doi: 10.1533/9781845699628.2.191.

Budiman, Ali, M. and Djalal, M. R. (2017) ‘Kontrol Motor Sinkron Permanen Magnet Menggunakan Algoritma Firefly’, in SEMANTIKOM 2017, Universitas Madura. Pamekasan, pp. 9–16. Available at: http://semantikom.unira.ac.id/2017/SEMANTIKOM_2017_paper_3.pdf.

Djalal, M. R. and Ali, M. (2016) ‘Particle Swarm Optimization Untuk Mengontrol Frekuensi Pada Hibrid Wind-Diesel’, Jurnal Intake, 7(2), pp. 1–13. Available at: http://ejournal.undar.ac.id/index.php/intake/article/view/372.

Dorigo, M., Birattari, M. and Stutzle, T. (2006) ‘Ant colony optimization’, IEEE Computational Intelligence Magazine, 1(4), pp. 28–39. doi: 10.1109/MCI.2006.329691.

Hartlambang, Y. G., Nurohmah, H. and Ali, M. (2017) ‘Optimasi Kecepatan Motor DC Menggunakan Algoritma Kelelawar (Bat Algorithm)’, in SEMANTIKOM 2017, Universitas Madura. Pamekasan, pp. 1–8. Available at: http://semantikom.unira.ac.id/2017/SEMANTIKOM_2017_paper_2.pdf.

Hassanien, A. and Emary, E. (2015) ‘Bat Algorithm (BA)’, in Swarm Intelligence, pp. 15–44. doi: 10.1201/b19133-3.

Kusuma, D. H., Ali, M. and Sutantra, N. (2016) ‘The comparison of optimization for active steering control on vehicle using PID controller based on artificial intelligence techniques’, in 2016 International Seminar on Application for Technology of Information and Communication (ISemantic). IEEE, pp. 18–22. doi: 10.1109/ISEMANTIC.2016.7873803.

Masrukhan, M. N. et al. (2016) ‘Optimasi Kecepatan Motor DC Menggunakan Pid Dengan Tuning Ant Colony Optimization (ACO) Controller’, in SENTIA-2016, Polinema, Malang. Malang, pp. B49–B52. Available at: http://sentia.polinema.ac.id/index.php/SENTIA2016/article/view/76.

Nurohmah, H., Ali, M. and Djalal, M. R. B. (2015) ‘Desain Frekuensi Kontrol pada Hibrid Wind-Diesel Dengan PID–Imperialist Competitive Algorithm (ICA)’, Jurnal Intake, 6(2), pp. 35–42. Available at: http://ejournal.undar.ac.id/index.php/intake/article/view/405.

Nurohmah, H., Raikhani, A. and Ali, M. (2017) ‘Rekonfigurasi Jaringan Distribusi Radial Menggunakan Modified Firefly Algorithms (MFA) Pada Penyulang Tanjung Rayon Jombang’, JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA), 1(2), p. 13. doi: 10.21070/jeee-u.v1i2.1064.

Padhye, N., Mittal, P. and Deb, K. (2013) ‘Differential evolution: Performances and analyses’, in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, pp. 1960–1967. doi: 10.1109/CEC.2013.6557799.

Rachman, M. F., Muttaqin, S. and Ali, M. (2017) ‘Penggunaan Metode Imperialist Competitive Algorithm (ICA) untuk kontrol Frekuensi pada Wind-Turbine dan Hybrid Wind-Diesel’, in SAINTEK II-2017, UB, Malang. Malang: Universitas Brawijaya, Malang, pp. 99–102. Available at: http://saintek.ub.ac.id/prosiding/e19.pdf.

Sebastián, R. (2009) ‘Simulation of the transition from wind only mode to wind diesel mode in a no-storage wind diesel system’, IEEE Latin America Transactions, 7(5), pp. 539–544. doi: 10.1109/TLA.2009.5361191.

Siswanto, T., Kusuma, D. H. and Raikhani, A. (2016) ‘Desain Optimal Load Frequency Control ( Lfc ) Pada Sistem Pembangkit Listrik Tenaga Mikrohidro ( Pltmh ) Menggunakan Metode Particle Swarm Optimization ( Pso ) B-35 B-36’, Prosiding SENTIA 2016 – Politeknik Negeri Malang, 8, pp. 35–39.

Yang, X. (2011) ‘Bat Algorithm for Multiobjective Optimization’, International Journal of Bio-Inspired Computation, 3(5), pp. 267–274. doi: 10.1504/IJBIC.2011.042259.

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How to Cite

Ali, M., & Ulum, M. (2020). Kontrol Frekuensi Wind-Diesel Menggunakan Hibrid Kontroller PID-BA-ANFIS. JE-Unisla, 5(1), 332–340. https://doi.org/10.30736/je.v5i1.422



editorial elektro