PSO OPTIMIZATION FOR SOLAR SYSTEM INVERTER CONTROLLER AND COMPARISON BETWEEN TWO CONTROLLER TECHNIQUES
DOI:
https://doi.org/10.11113/jt.v78.8904Keywords:
PSO optimization, Modulation index, Solar system, PI controller, SPWM, particle swarm optimization.Abstract
This paper explains a deep comparison between two controller techniques firstly controller control on modulation index and the second controller use dq method. Both of these controller approaches have control on three phase voltage and use the same system unchanged. The system is a solar system together with a backup battery connected to a single housing unit. Particle Swarm Optimization (PSO) algorithm has been utilized to improve the controller performance by automatically finding its parameters in order to reduce the error in the proportional Integral (PI) controller. Optimization process has been done with a real recording data of housing unit demand in Malaka, Malaysia. System has been simulated and tested in MATLAB/Simulink environment with m-file runs PSO algorithm and simulate the system hundreds of times to get the best results showing in this paper. Comparisons were taking place in controller design and in the simulation results that express the strength and weaken points of each controller starts with THD voltage and current waveform and RMS voltage in each controller. Â
References
Tey, K. S. and Mekhilef, S. 2015. A Fast-converging MPPT Technique for Photovoltaic System under Fast Varying Solar Irradiation and Load Resistance, IEEE Transactions on Industrial Informatics. 11(1): 176- 186.
Abdolrasol, M.G.M. and Mekhilef, S .2012. Development of Hybrid Anti-Islanding Based on Distributed Generation Interconnection. Journal Of Internationals Review On Modulation And Simulation. 5(1): 60-68.
Ali, J. A., Hannan, M. A. and Mohamed, A. 2014. “PSO Algorithm for Three Phase Induction Motor Drive with SVPWM Switching and V/f Control†IEEE International Conference Power & Energy (PECON).
Poli, R., Kennedy, J. and Blackwell, T. 2007. Particle Swarm Optimization. Swarm Intelligence. 1(1): 33–57.
Shi, Y. and Eberhart, R. 1998. A Modified Particle Swarm Optimizer. 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence. 69–73.
Daher, S., Schmid, J. and Antunes, F. .2008. Multilevel Inverter Topologies For Stand-Alone PV Systems,†IEEE Trans. Ind. Electron. 55(7): 2703– 2712.
Ghani, Z. A.,Hannan, M. A. and Mohamed A. 2012. Simulation Model of Three-Phase Inverter Using dSPACE Platform for PV Applicationâ€, International Review on Modelling and Simulations (I.RE.MO.S.). 1. ISSN 1974-9821.
Malla, S.G. and Bhende C.N. 2013. Voltage Control Of Stand-Alone Wind And Solar Energy System, Electrical Power and Energy Systems. 56 (2014): 361–373.
Ghani, Z.A., Hannan, M A and Mohamed, A. 2013. Simulation Model Linked PV Inverter Implementaion Utilizing dSPACE DS1104 Controller, Energy and Buildings. 57(2013): 65-73.
Kumar, K. and Sivakumar, K. 2013. A Quad Two-Level Inverter Configuration for Four Pole Induction Motor Drive with Single DC Linkâ€, IEEE Trans. Ind. Electron.1-8.
Abdolrasol, M. G. M. and Mekhilef, S .2010. Robust Hybrid Anti-Islanding Method For Inverter-Based Distributed Generationâ€. TENCON 2010 - 2010 IEEE. 13- 18.
Agelidis, V. G., et. al., . 2006. Multiple Sets of Solutions for Harmonic Elimination PWM Bipolar Waveforms: Analysis and Experimental Verification. IEEE Trans. Power Electron. 21(2): 415–421
Mohamad, S. I. A., et. al. 2015. Gravitational Search Algorithm Optimization for PID Controller Tuning in Waste-water Treatment Process. Sophan Wahyudi Nawawi et al. Jurnal Teknologi (Sciences & Engineering). 73(3): 103–109.
Jusoh, M.I. et. al., 2015. Optimization of Electrical Energy Consumption and Level Reliability of Water Supply System. Jurnal Teknologi (Sciences & Engineering). 72(2): 103–109.
Enjeti, P. N., Ziogas, P. D. and Lindsay. J. F. 1990. Programmed PWM Techniques To Eliminate Harmonics: A Critical Evaluation. IEEE Trans. Ind. Appl. 26(2): 302–316.
Ali, J. A. Hannan, M. A. and Mohamed, A. 2015. Rule-based Fuzzy and V/f Control for Induction Motor Speed Responses Using SVPWM Switching Technique.PrzeglÄ…d Elektrotechniczny, ISSN 0033-2097, R. 91 NR 3.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
