Kontrol Tegangan Self-Excited Induction Generator dengan Electronic Load Controller Terkontrol PID-GA

https://doi.org/10.22146/ijeis.54197

Ermanu Azizul Hakim(1), Rahayu Pandunengsih(2), Diding Suhardi(3), Novendra Setyawan(4*)

(1) Teknik Elektro, Universitas Muhammadiyah Malang
(2) Teknik Elektro, Universitas Muhammadiyah Malang
(3) Teknik Elektro, Universitas Muhammadiyah Malang
(4) Teknik Elektro, Universitas Muhammadiyah Malang
(*) Corresponding Author

Abstract


Induction generator operation requires reactive power with external contactor. One of induction generator types, SEIG reactive power supplied by capacitor bank connected to generator terminal. SEIG is alternative energy conversion in small area or rural, SEIG has the main disadvantage of poor voltage regulation under various load conditions. ELC combine PID control which is optimized using Genetic Algorithm in order to maintain the stability of the voltage when the load varies. The result shows the SEIG system using ELC with PID-GA control worked to stable voltage in accordance with the standard with voltage tolerance of 10% when load change. The addition of GA to determine the value of the PID parameter where response system better with difference overshoot value start is 70.48%, when decrease load in 5 second by 44.3% and in the 10 second when increase load of 2 kW is 5.96% compared system with PID control without GA optimization.


Keywords


Voltage Control; Self-Excited Induction Generator; Electronic Load Controller; Genetic Algorithm

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References

[1] F. A. Farret and M. G. Simoes, Integation of Alternative Sources of Energy. 2006.

[2] B. Singh, S. Member, S. S. Murthy, L. S. Member, and S. Gupta, “Transient Analysis of Self-Excited Induction Generator With Electronic Load Controller ( ELC ) Supplying Static and Dynamic Loads,” vol. 41, no. 5, pp. 1194–1204, 2005.

[3] L. Goyal, O. M. P. Mahela, and S. Goyal, “A Survey Of Self-Excited Induction Generator Research,” vol. 2, no. 1, pp. 31–40, 2013.

[4] B. Singh, S. S. Murthy, and S. Gupta, “Analysis and implementation of an electronic load controller for a self-excited induction generator.”

[5] N. Setyawan, E. A. Hakim, and Z. Zulfatman, “Signature PSO: Modified Particle Swarm Optimization Dengan Fuzzy Signature Dan Implementasi Pada Optimalisasi Kendali LQR,” MULTITEK Indones., vol. 13, no. 2, pp. 29–38, 2020.

[6] N. Setyawan, N. Mardiyah, K. Hidayat, and Z. Has, “Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot,” in 2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2018, pp. 117–121.

[7] N. Setyawan, M. Nasar, and N. Mardiyah, “Jaya-Neural Network for Server Room Temperature Forecasting Through Sensor Network,” in 2019 International Electronics Symposium (IES), 2019, pp. 428–431.

[8] T. O. Mahony, C. J. Downing, and K. Fatla, “Genetic algorithms for PID parameter optimisation : minimising error criteria,” Process Control Instrum., pp. 26–28, 2000.

[9] R. Harahap, “Analisis Dan Simulasi Pengaturan Tegangan Generator Induksi Berpenguatan Sendiri Menggunakan Static Synchronous Compensator (STATCOM),” no. 1, pp. 83–88, 2016.

[10] A. Kumar and V. K. Sharma, “Implementation of Self Excited Induction Generator ( Seig ) With Igbt Based Electronic Load Controller ( Elc ) in Wind Energy Systems,” no. Im, pp. 188–193, 2013.

[11] B. Singh, S. Member, S. S. Murthy, L. S. Member, and S. Gupta, “Analysis and Design of Electronic Load Controller for Self-Excited Induction Generators,” vol. 21, no. 1, pp. 285–293, 2006.

[12] E. C. Wijaya, “Sistem Kontrol Generator Induksi Dengan Beban Komplemen Berbasis Pid Pada Pembangkit Listrik Mikrohidro,”Skripsi, Universitas Negeri Jember, 2015.

[13] E. H. Putra, Z. Has, and M. Effendy, “Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor,” Proceeding Electr. Eng. Comput. Sci. Informatics, vol. 5, no. 5, pp. 330–335, 2018.



DOI: https://doi.org/10.22146/ijeis.54197

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