Hybrid PV and Wind Based Energy Optimized Control Scheme by Using FACTS and PSO Technique

Krishna Sarker*, Tanmoy Chakraborty **, Sayan Paramanik ***, Jayanti Sarker ****, Satadal Mal *****, Utpal Biswas ******
*,**** Department of Electrical Engineering, Techno India Group, Kolkata, West Bengal, India.
** Department of Computer Science and Engineering, Saroj Mohan Institute of Technology, Hooghly, West Bengal, India
*** Autometers Alliance Ltd., Noida, Uttar Pradesh, India.
***** Department of Electrical Engineering, Kalyani Government Engineering College, Kalyani, Nadia, India.
****** Department of Computer Science and Engineering, University of Kalyani, Nadia, India.
Periodicity:January - March'2020
DOI : https://doi.org/10.26634/jee.13.3.16784

Abstract

Nowadays, due to various types of load variation in power grid makes the stability issues. This paper represents a PV-Wind based hybrid system connected to a Flexible Alternating Current Transmission System (FACTS) controller with Micro-grid (MG), which is controlled by three-phase Multilevel Inverter (MLI) using Particle Swarm Optimization (PSO) algorithm. Solar cells are connected in series or parallel to built-in PV array. A battery or super capacitor is used to store the generated energy that supplies the voltage to three-phase inverter during the deficiency of sunlight and wind. MPPT controller is connected, which is capable of extracting maximum power from PV array. The proposed technique can efficiently mitigate the power quality problem, for example, voltage interruption, sag, swell, flicker, reactive power, unbalanced neutral current, current and voltage harmonics. PSO algorithm is applied for calculating the exact switching angles for the proposed inverter at each modulation index, considering the minimum total harmonic distortion for the output voltage. The proposed topology improved the voltage harmonics and current harmonics, which includes the enhanced active and reactive power. The optimum inverter switching angles are computed off-line to remove the selected lower order harmonics and suppress the higher order harmonics. The calculated switching angles are stored in micro controller processor memory using mixed model equation for online application. This work concluded that the mode of Unified Power Quality Conditioner (UPQC) performance is significantly better compared to Static Synchronous Compensator (STATCOM) and Dynamic Voltage Restorer (DVR) models. Both the simulation and experimental results agree well with the analytical formulation.

Keywords

FACTS Controller, Multilevel Inverter, Particle Swarm Optimization (PSO), Total Harmonic Distortion (THD), Renewable Energy, Power Quality, Hardware Model of MLI and Grid.

How to Cite this Article?

Sarker, K., Chakraborty, T., Paramanik, S., Sarker, J., Mal, S., & Biswas, U. (2020). Hybrid PV and Wind Based Energy Optimized Control Scheme by using Facts and PSO Technique, i-manager's Journal on Electrical Engineering, 13(3), 24-37. https://doi.org/10.26634/jee.13.3.16784

References

[1]. Badwawi, R. A., Abusara, M., & Mallick, T. (2015). A review of hybrid solar PV and wind energy system. Smart Science, 3(3), 127-138. https://doi.org/10.1080/23080 477.2015.11665647
[2]. Dargahi, V., Sadigh, A. K., & Corzine, K. (2016, March). Medium voltage dynamic voltage restorer (DVR) based on DFCM converter for power quality improvement. In 2016 Clemson University Power Systems Conference (PSC) (pp. 1-8). IEEE. https://doi.org/10.1109/PSC.2016.7462849
[3]. Gaga, A., Errahimi, F., & Es-Sbai, N. (2014, October). Design and implementation of MPPT solar system based on the enhanced P&O algorithm using Labview. In 2014 International Renewable and Sustainable Energy Conference (IRSEC) (pp. 203-208). IEEE. https://doi.org/ 10.1109/IRSEC.2014.7059786
[4]. Genu, L. G. B., Limongi, L. R., Cavalcanti, M. C., Bradaschia, F., & Azevedo, G. M. S. (2020). Single-phase transformerless power conditioner based on a two-leg of a nine-switch converter. International Journal of Electrical Power & Energy Systems, 117, 1-11. https://doi.org/ 10.1016/j.ijepes.2019.105614
[5]. Ishaque, K., & Salam, Z. (2013). A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition. Renewable and Sustainable Energy Reviews, 19, 475-488. https://doi.org/ 10.1016/j.rser.2012.11.032
[6]. Jianjun, G., Dianguo, X., Hankui, L., & Maozhong, G. (2002, April). Unified power quality conditioner (UPQC): The principle, control and application. In Proceedings of the Power Conversion Conference-Osaka 2002 (Vol. 1, pp. 80- 85). IEEE. https://doi.org/10.1109/PCC.2002.998518
[7]. Kabalci, E. (2013). Design and analysis of a hybrid renewable energy plant with solar and wind power. Energy Conversion and Management, 72, 51-59. https://doi.org/ 10.1016/j.enconman.2012.08.027
[8]. Kennedy, J. (1997, April). The particle swarm: social adaptation of knowledge. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC'97) (pp. 303-308). IEEE. https://doi.org/10.1109 /ICEC.1997.592326
[9]. Kennedy, J., & Eberhart, R. (1995, November). Particle swarm optimization. In Proceedings of ICNN'95- International Conference on Neural Networks (Vol. 4, pp. 1942-1948). IEEE. https://doi.org/10.1109/ICNN.1995.48 8968
[10]. Kohn, W., Zabinsky, Z. B., & Nerode, A. (2015). A microgrid distributed intelligent control and management system. IEEE Transactions on Smart Grid, 6(6), 2964-2974. https://doi.org/10.1109/TSG.2015.2455512
[11]. Kumar, A., & Chatterjee, D. (2017, December). A survey on space vector pulse width modulation technique for a two-level inverter. In 2017 National Power Electronics Conference (NPEC) (pp. 78-83). IEEE. https://doi.org/10.1 109/NPEC.2017.8310438
[12]. Lopa, S. A., Hossain, S., Hasan, M. K., & Chakraborty, T. K. (2016). Design and simulation of DC-DC converters. International Journal of Electronic and Electrical Engineering, 3(1), 63-70.
[13]. Noman, A. M., Addoweesh, K. E., & Mashaly, H. M. (2012, October). A fuzzy logic control method for MPPT of PV systems. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society (pp. 874-880). IEEE. https://doi.org/10.1109/IECON.2012.6389174
[14]. Patel, A., Yadav, S. K., Mathur, H. D., Bhanot, S., & Bansal, R. C. (2020). Optimum sizing of PV based UPQC-DG with improved power angle control. Electric Power Systems Research, 182, 106259. https://doi.org/10.1016/j.epsr.20 20.106259
[15]. Pelz, G. M., da Silva, S. A. O., & Sampaio, L. P. (2020). Distributed generation integrating a photovoltaic-based system with a single-to three-phase UPQC applied to rural or remote areas supplied by single-phase electrical power. International Journal of Electrical Power & Energy Systems, 117, 105673. https://doi.org/10.1016/j.ijepes.2019.105673
[16]. Seifossadat, S. G., Kianinezhad, R., Ghasemi, A., & Monadi, M. (2008, June). Quality improvement of shunt active power filter, using optimized tuned harmonic passive filters. In 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (pp. 1388-1393). IEEE. https://doi.org/10.1109/SPEEDHAM.20 08.4581063
[17]. Sharma, D. K., & Purohit, G. (2012, December). Advanced perturbation and observation (P&O) based maximum power point tracking (MPPT) of a solar phototh voltaic system. In 2012 IEEE 5th India International Conference on Power Electronics (IICPE) (pp. 1-5). IEEE. https://doi.org/10.1109/IICPE.2012.6450411
[18]. Strache, S., Wunderlich, R., & Heinen, S. (2014). A comprehensive, quantitative comparison of inverter architectures for various PV systems, PV cells, and irradiance profiles. IEEE Transactions on Sustainable Energy, 5(3), 813-822. https://doi.org/10.1109/TSTE.2014.2304740
[19]. Sundarabalan, C. K., Puttagunta, Y., & Vignesh, V. (2019). Fuel cell integrated unified power quality conditioner for voltage and current reparation in four-wire distribution grid. IET Smart Grid, 2(1), 60-68. https://doi.org/10.1049/iet-stg.2018.0148
[20]. Varma, K. R., Salehi, R., (2017). SSR Mitigation with a new control of PV solar farm as STATCOM (PV-STATCOM). IEEE Transactions on Sustainable Energy, vol. 8, no. 4, pp. 1473 – 1483.
[21]. Yin, M., Xu, Y., Shen, C., Liu, J., Dong, Z. Y., & Zou, Y. (2016). Turbine stability-constrained available wind power of variable speed wind turbines for active power control. IEEE Transactions on Power Systems, 32(3), 2487-2488. https://doi.org/10.1109/TPWRS.2016.2605012
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.