Machrus Ali, Rukslin Rukslin, Cholil Hasyim


In this paper, the efficiency of photovoltaic panels is improved by adding two solar tracking systems. The solar tracking system is used to track the sun so that the photovoltaic always faces the sun. This system uses a dual axis consisting of a horizontal rotation axis and a vertical rotation axis. The motion of the horizontal axis of rotation follows the sun's azimuth angle from north to south. The motion of the vertical axis of rotation following the sun's azimuth angle from east to west is the vertical axis motion. Both types of movement are controlled using PID and Fuzzy controllers which are optimized with an artificial intelligence approach, namely Ant Colony Optimization (ACO). Experiments with PID control approach and CES control were optimized using the ACO method (Hybrid PID-CES-ACO method).   In this research, PID-CES-ACO was the best model, obtained on the horizontal axis of overshot 1328 pu, the smallest undershot was 0.116, and the fastest settling time was 0.183 s, on the vertical axis the smallest overshot was 1.246 pu, the smallest undershot was 0.044, the fastest settling time was 0.163 s


Ant Colony Optimization; CES; Photovoltaic; Hybrid System;

Full Text:



M. Ali, H. Nurohmah, Budiman, J. Suharsono, H. Suyono, and M. A. Muslim, “Optimization on PID and ANFIS Controller on Dual Axis Tracking for Photovoltaic Based on Firefly Algorithm,” in ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering: Emerging Innovative Technology for Sustainable Future, 2019, pp. 53–57.

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W. Cahyono, M. Ali, and H. Nurohmah, “Ant Colony Optimazation sebagai Tuning PID pada Single Axis Tracking Photovoltaic,” Sinarfe7-2, vol. 2, no. 1, pp. 455–458, 2019.

M. Ali, M. R. Djalal, M. Fakhrurozi, Kadaryono, Budiman, and D. Ajiatmo, “Optimal Design Capacitive Energy Storage (CES) for Load Frequency Control in Micro Hydro Power Plant Using Flower Pollination Algorithm,” in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018, 2018, pp. 21–26.

Kadaryono, Askan, Rukslin, A. Parwanti, M. Ali, and I. Cahyono, “Comparison of LFC optimization on micro-hydro using PID, CES, and SMES based firefly algorithm,” in International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2018, vol. 2018–Octob, pp. 204–209.

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M. Ali, Budiman, A. R. Sujatmika, and A. A. Firdaus, “Optimization of controller frequency in wind-turbine based on hybrid PSO-ANFIS,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1034, no. 1, p. 12070, 2021.

M. Arrohman, R. Fajardika, M. Muhlasin, and M. Ali, “Optimasi Frekuensi Kontrol pada Sistem Hybrid Wind-Diesel Menggunakan PID Kontroler Berbasis ACO dan MFA,” J. Rekayasa Mesin, vol. 9, no. 1, pp. 65–68, 2018.

Muhlasin, Budiman, M. Ali, A. Parwanti, A. A. Firdaus, and Iswinarti, “Optimization of Water Level Control Systems Using ANFIS and Fuzzy-PID Model,” in 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), 2020, pp. 1–5.

M. Ali, Muhlasin, H. Nurohmah, A. Raikhani, H. Sopian, and N. Sutantra, “Combined ANFIS method with FA, PSO, and ICA as Steering Control Optimization on Electric Car,” in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018, 2018, pp. 299–304.

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DOI: https://doi.org/10.26905/jeemecs.v4i2.6138


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