Grid Coupled Solar PV For Energy Feeding by using PSO-BFOA Based Incremental Conductance Method

Ch. Venkateswara Rao*, S. S. Tulsiram **, B. Brahmaiah***, CH. Ramya****
* Department of Electrical and Electronics Engineering, Salalah College of Technology, Salalah, Sultanate of Oman. ** Department of Electrical and Electronics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India. *** Department of Electrical and Electronics Engineering, St. Peter’s Engineering College, Hyderabad, India. **** Department of Electrical and Electronics Engineering, AIMS College of Engineering, Andhra Pradesh, India.
Periodicity:October - December'2019
DOI : https://doi.org/10.26634/jee.13.2.15918

Abstract

Most of the world's energy sources are come from conventional ones namely fossil fuels such as oil (petrol, diesel, etc.), coal, and of course natural gases. However, the alarming decline in the levels of fossil fuels is a clear sign of its rapid and early extinction. Hence demand for a renewable energy sources increases as it is environment friendly and pollution free, and reduces the greenhouse effect. Introducing renewable energy is one of the solution for the issue, among others PV and wind energy are clean and abundantly available in nature. The advantage of utilizing renewable resources over conventional methods lies in significant reduction in the level of pollution. The cost of conventional energy is mounting and solar energy has evolved to be a latent alternative. Solar energy is abundant, pollution free, distributed throughout the earth and is recyclable. The Photovoltaic (PV) systems output power fluctuates according to the irradiation and temperature (weather conditions). Irregular PV output power results in frequency variations in the power systems, especially when the penetration is high. The power generated through PVs or other dispersed power source has to be connected to conventional power grid. PV power is embedded to the grid at substation level, this helps to extend more reliable, and better grid quality power. The hybrid power system consists of DC-DC converters which offer high dynamic performance and frequency modulation transients, without quantization effects and low-complexity, the key findings of the present task. The main aim of this paper is to design, development of microgrid with Synchronous Reference Frame Control for PV module in MATLAB Simulink environment, and customized for accurate analysis by using PSO-BFOA based Incremental Conductance method to reduce sustained oscillations and fast searching of MPPT, generated FPGA coding for MPPT, and multilevel inverter.

Keywords

PSO-BFOA, MPPT, FPGA, Photovoltaic (PV) systems.

How to Cite this Article?

Rao, V, CH., Tulsiram, S. S., Brahmaiah, B., & Ramya, CH. (2019). Grid Coupled Solar PV For Energy Feeding by using PSO-BFOA Based Incremental Conductance Method. i-manager’s Journal on Electrical Engineering, 13(2), 18-32. https://doi.org/10.26634/jee.13.2.15918

References

[1]. Bhatnagar, P., & Nema, R. K. (2013). Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications. Renewable and Sustainable Energy Reviews, 23, 224-241. https://doi.org/10.1016/j.rser. 2013.02.011
[2]. Bialasiewicz, J. T. (2008). Renewable energy systems with photovoltaic power generators: Operation and modeling. IEEE Transactions on Industrial Electronics, 55(7), 2752-2758. https://doi.org/10.1109/TIE.2008.920583
[3]. Chen, Y. M., Liu, Y. C., Hung, S. C., & Cheng, C. S. (2007). Multi-input inverter for grid-connected hybrid PV/wind power system. IEEE Transactions on Power Electronics, 22(3), 1070-1077. https://doi.org/10.1109/TPEL. 2007.897117
[4]. Chinnaiyan, V. K., Jerome, J., & Karpagam, J. (2013). An experimental investigation on a multilevel inverter for solar energy applications. International Journal of Electrical Power & Energy Systems, 47, 157-167. https://doi.org/10.1016/j.ijepes.2012.10.025
[5]. Das, S., Dasgupta, S., Biswas, A., Abraham, A., & Konar, A. (2009). On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 39(3), 670-679. https://doi.org/10. 1109/TSMCA.2008.2011474
[6]. Eltawil, M. A., & Zhao, Z. (2010). Grid-Connected photovoltaic power systems: Technical and potential problems-A review. Renewable and Sustainable Energy Reviews, 14(1), 112-129. https://doi.org/10.1016/j.rser. 2009.07.015
[7]. Faranda, R., & Leva, S. (2008). Energy comparison of MPPT techniques for PV systems. WSEAS Transactions on Power Systems, 3(6), 446-455.
[8]. Grandi, G., Rossi, C., Ostojic, D., & Casadei, D. (2009). A new multilevel conversion structure for grid-connected PV applications. IEEE Transactions on Industrial Electronics, 56(11), 4416-4426. https://doi.org/10.1109/TIE.2009. 2029587
[9]. Haruni, A. M. O., Negnevitsky, M., Haque, M. E., & Gargoom, A. (2013). A novel operation and control strategy for a standalone hybrid renewable power system. IEEE Transactions on Sustainable Energy, 4(2), 402-413. http:// doi.org/10.1109/TDC.2010.5484293
[10]. Hodashinskii, I. A., Zemtsov, N. N., & Meshcheryakov, R. V. (2012). Construction of fuzzy approximators based on the bacterial foraging method. Russian Physics Journal, 55(3), 301-305. https://doi.org/10.1007/s11182-012-9811-8
[11]. Ishaque, K., Salam, Z., Amjad, M., & Mekhilef, S. (2012). An improved particle swarm optimization (PSO)–based MPPT for PV with reduced steady-state oscillation. IEEE Transactions on Power Electronics, 27(8), 3627-3638. https://doi.org/10.1109/TPEL.2012.2185713
[12]. Koutroulis, E., Kalaitzakis, K., & Tzitzilonis, V. (2009). Development of an FPGA-based system for real-time simulation of photovoltaic modules. Microelectronics Journal, 40(7), 1094-1102. https://doi.org/10.1016/j.mejo. 2008.05.014
[13]. Lohan, S. K., Dixit, J., Modasir, S., & Ishaq, M. (2012). Resource potential and scope of utilization of renewable energy in Jammu and Kashmir, India. Renewable Energy, 39(1), 24-29. https://doi.org/10.1016/j.renene.2011.08.033
[14]. Maharjan, L., Yamagishi, T., & Akagi, H. (2010). Activepower control of individual converter cells for a battery energy storage system based on a multilevel cascade PWM converter. IEEE Transactions on Power Electronics, 27(3), 1099-1107.https://doi.org/10.1109/TPEL.2010. 2059045
[15]. Majumder, R., Ghosh, A., Ledwich, G., & Zare, F. (2010). Power management and power flow control with back-to-back converters in a utility connected microgrid. IEEE Transactions on Power Systems, 25(2), 821-834. https://ui.adsabs.harvard.edu/link_gateway/2010ITPSy..25. .821M/doi:10.1109/TPWRS.2009.2034666
[16]. Nejabatkhah, F., Danyali, S., Hosseini, S. H., Sabahi, M., & Niapour, S. M. (2012). Modeling and control of a new three-input DC–DC boost converter for hybrid PV/FC/Battery power system. IEEE Transactions on Power Electronics, 27(5), 2309-2324. http://doi.org/10.1109%2FTPEL.2011. 2172465
[17]. Posharp, Inc. (n.d.). SPR-305-WHT Solar Panel from Sun Power. Retrieved from http://www.posharp.com/spr-305- wht-solar-panel-from-sunpower_p1369628284d.aspx
[18]. Rao, V., Tulasiram, S. S., & Brahmaiah, B. (2015). Digital controlled high power synchronous boost converter based MPPT charge controller for SPV system. International Journal of Innovations in Engineering and Technology (IJIET), 5(2), 104-110.
[19]. Rao, V., Tulaisram, S.S., Brahmaiah, B., & Ramya. (2019). Features of PSO – BFOA based increment conductance method with FPGA. i-manager's Journal on Circuits and Systems , 7(1), 14-23. https://doi.org/10.26634/ jcir.7.1.15391
[20]. Saggini, S., Garcea, G., Ghioni, M., & Mattavelli, P. (2005, March). Analysis of high-performance synchronousasynchronous digital control for DC-DC boost converters. In Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2005. (Vol. 2, pp. 892- 898). IEEE. https://doi.org/10.1109/APEC.2005.1453090
[21]. Singh, G. K. (2013). Solar power generation by PV (photovoltaic) technology: A review. Energy, 53, 1-13. https://doi.org/10.1016/j.energy.2013.02.057
[22]. Subudhi, B., & Pradhan, R. (2013). A Comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Transactions on Sustainable Energy, 4(1), 89-98. https://ui.adsabs.harvard. edu/link_gateway/2013ITSE....4...89S/doi:10.1109/TSTE.201 2.2202294
[23]. Thomas, R. M. (2013). Survey of bacterial foraging optimization algorithm. International Journal of Science and Modern Engineering (IJISME), 1(4), 11-12.
[24]. Villanueva, E., Correa, P., Rodríguez, J., & Pacas, M. (2009). Control of a single-phase cascaded H-bridge multilevel inverter for grid-connected photovoltaic systems. IEEE Transactions on Industrial Electronics, 56(11), 4399- 4406. https://doi.org/10.1109/TIE.2009.2029579
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