Analisis Kinerja Metode Fuzzy Teroptimasi PSO untuk Strategi Kendali MPPT pada Sistem Solar Photovoltaic

Indah Soesanti(1), Ramadoni Syahputra(2),


(1) Universitas Gadjah Mada
(2) Universitas Muhammadiyah Yogyakarta

Abstract

A fuzzy control system has been widely used in various problem solving. Its performance can be optimized using particle swarm optimization (PSO). This performance can be proven by applying it to the maximum power point tracking (MPPT) control strategy on solar photovoltaic systems. Solar photovoltaic power generation systems are increasingly popular because they are clean and renewable energy sources. The power generated by solar photovoltaic is strongly influenced by solar irradiation and the load carried. In order to obtain maximum power output, an MPPT control strategy is needed. An MPPT control strategy based on fuzzy and PSO hybrid control systems is proposed in this research. The fuzzy-PSO method selects and produces the optimal duty cycle for the boost dc-dc converter in a solar photovoltaic system. Variable duty cycle due to solar irradiation and load changes can be conditioned by the fuzzy-PSO-based MPPT method to extract maximum power. The research results show that the fuzzy-PSO method can control the solar photovoltaic output voltage through a dc-dc converter to produce maximum power at various solar irradiations. Test result by applying a resistive load produces output power at the maximum point. The best result is obtained in the 100 Ohm load test: the response time of 0.0818 seconds and excellent robustness.

Keywords

MPPT; control strategy; solar photovoltaic; optimization; fuzzy; PSO

Full Text:

PDF

References

M.H. Rahmat, Setkab RI Website. [Online]. Available: https://setkab.go.id/ruen-rencana-umum-energi-nasional/.

JDIH ESDM Website. [Online]. Available: https://peraturan.bpk.go.id/Home/Details/5523/pp-no-79-tahun-2014.

A. Raj, S. R. Arya, and J. Gupta, “Solar PV array-based DC–DC converter with MPPT for low power applications,” Renew. Energy Focus, vol. 34, September 2020, pp. 109–119, doi: 10.1016/j.ref.2020.05.003.

S. Salman, X.Al, and Z. Wu, “Design of a P-&-O algorithm based MPPT charge controller for a stand-alone 200W PV system,” Protection and Control of Modern Power Systems, vol. 3, 2018, pp. 1-8.

K. Pal, S. Kumar, B. Singh, and T.C. Kandpal, “Implementation of frequency integrated multi-order generalized integrator for solar energy sourced grid,” International Journal of Electrical Power & Energy Systems, vol. 131, October 2021, p. 106918.

H. Suryawinata, D. Purwanti, dan S. Sunardiyo, “Sistem Monitoring pada Panel Surya Menggunakan Data logger Berbasis ATmega 328 dan Real Time Clock DS1307,” Jurnal Teknik Elektro, vol. 9 no. 1 , Januari-Juni 2017, pp. 30–36.

EBTKE Kementerian ESDM Website. [Online]. Available: https://ebtke.esdm.go.id/post/2019/09/26/2348/peluang.besar.kejar.target.ebt.melalui.energi.surya. .

R. Singh, S.M. Amrr, and M.S.J. Asghar, “Supervisory control strategy for the effective solar energy utilization in a residential microgrid system using a cost-effective controller,” International Journal of Electrical Power & Energy Systems, vol. 132, November 2021, p. 107170.

A. Arther Jain, B. J. Rabi, and S. S. Darly, “Application of QOCGWO-RFA for maximum power point tracking (MPPT) and power flow management of solar PV generation system,” Int. J. Hydrogen Energy, vol. 45, no. 7, pp. 4122–4136, 2020, doi: 10.1016/j.ijhydene.2019.12.071.

R.B. Ballipo, S. Mikkili, and P.K. Bonthagorla, “Hybrid, Optimal, Intelligent and Classical PV MPPT Techniques: A Review,” CSEE Journal of Power and Energy Systems, vol. 7, no. 1, January 2021.

H. Tao, M. Ghahremani, F. W. Ahmed, W. Jing, M. S. Nazir, and K. Ohshima, “A novel MPPT controller in PV systems with hybrid whale optimization-PS algorithm based ANFIS under different conditions,” Control Eng. Pract., vol. 112, February 2021, doi: 10.1016/j.conengprac.2021.104809.

A.F.C. Borray, A. Garces, J. Merino, E. Torres, and J. Mazon, “New energy bound-based model for optimal charging of electric vehicles with solar photovoltaic considering low-voltage network's constraints,” International Journal of Electrical Power & Energy Systems, vol. 129, July 2021, p. 106862.

A. Ali, K. Almutairi, S. Padmanaban, V. Tirth, S. Algarni, K. Irshad, S. Islam, M.H. Zahir, M. Shafiullah, and M.Z. Malik, “Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition–A Retrospection,” IEEE Access, vol. 8, 2020.

M. Hebchi, A. Kouzou, and A. Choucha, “A modified variable step size for Maximum Power Point tracking based on Perturb and observe algorithm,” Electrotehnica, Electronica, Automatica (EEA), vol. 66, no. 4, 2018, pp. 05-14.

I.A. Ayad, E. Elwarraki, and M. Baghdadi, “Intelligent Perturb and Observe Based MPPT Approach Using Multilevel DC-DC Converter to Improve PV Production System,” Journal of Electrical and Computer Engineering, vol. 2021, pp. 1-13, 2021.

Y. Shi, Y. Sun, J. Liu, and X. Du, “Model and stability analysis of grid-connected PV system considering the variation of solar irradiance and cell temperature,” International Journal of Electrical Power & Energy Systems, vol. 132, November 2021, p. 107155.

V. Q. B. Ngo, M. Latifi, R. Abbassi, H. Jerbi, K. Ohshima, and M. khaksar, “Improved krill herd algorithm based sliding mode MPPT controller for variable step size P&O method in PV system under simultaneous change of irradiance and temperature,” J. Franklin Inst., vol. 358, pp. 3491–3511, 2021, doi: 10.1016/j.jfranklin.2021.02.021.

M. Rastogi, A. Ahmad, and A. H. Bhat, “Performance investigation of two-level reduced-switch D-STATCOM in grid-tied solar-PV array with stepped P&O MPPT algorithm and modified SRF strategy,” Journal of King Saud University - Engineering Sciences., vol. 2021, doi: 10.1016/j.jksues.2021.06.008.

M. Jiang, M. Ghahremani, S. Dadfar, H. Chi, Y. N. Abdallah, and N. Furukawa, “Implementation of improved Perturb & Observe MPPT technique with confined search space for standalone photovoltaic system,” Journal of King Saud University - Engineering Sciences, vol. 32, No. 7, November 2020, pp. 432-441.

M. Mohammadinodoushan, R. Abbassi, H. Jerbi, F.W. Ahmed, H.A.K. Ahmed, and A. Rezvani, “A new MPPT design using variable step size perturb and observe method for PV system under partially shaded conditions by modified shuffled frog leaping algorithm- SMC controller,” Sustainable Energy Technologies and Assessments, vol. 45, 2021, p. 101056.

M. Jiang, M. Ghahremani, S. Dadfar, H. Chi, and Y.N. Abdallah, “A novel combinatorial hybrid SFL–PS algorithm based neural network with perturb and observe for the MPPT controller of a hybrid PV-storage system,” Control Engineering Practice, vol. 114, June 2021, p. 104880.

Y. Singh and N. Pal, “Reinforcement learning with fuzzified reward approach for MPPT control of PV systems,” Sustainable Energy Technologies and Assessments, vol. 48, October 2021, p. 101665.

S.D. Al-Majidiab, M.F. Abboda, and H.S. Al-Raweshidya, "A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems," International Journal of Hydrogen Energy, vol. 43, no. 31, 2018, pp. 14158-14171.

B. Laxman, A. Annamraju, and N. V. Srikanth, “A grey wolf optimized fuzzy logic based MPPT for shaded solar photovoltaic systems in microgrids,” Int. J. Hydrogen Energy, vol. 46, no. 18, pp. 10653–10665, 2021, doi: 10.1016/j.ijhydene.2020.12.158.

X. Ge, F. W. Ahmed, A. Rezvani, N. Aljojo, S. Samad, and L. K. Foong, “Implementation of a novel hybrid BAT-Fuzzy controller based MPPT for grid-connected PV-battery system,” Control Eng. Pract., vol. 98, March 2020, doi: 10.1016/j.conengprac.2020.104380.

A. Iqbal, “PSO Based Controlled Six-phase Grid Connected Induction Generator for Wind Energy Generation,” CES Transactions on Electrical Machines and Systems., vol. 5 No. 1, pp. 41–49, March 2021.

Q. Zhao and C. Li, "Two-Stage Multi-Swarm Particle Swarm Optimizer for Unconstrained and Constrained Global Optimization", IEEE Access, vol. 8, 2020, pp. 124905 - 124927.

Refbacks

  • There are currently no refbacks.