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Intermittent power smoothing control for grid connected hybrid wind/PV system using battery-EDLC storage devices

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wind and solar radiation are intermittent with stochastic fluctuations, which can influence the stability of operation of the hybrid system in the grid integrated mode of operation. In this research work, a smoothing control method for mitigating output power variations for a grid integrated wind/PV hybrid system using a battery and electric double layer capacitor (EDLC) is investigated. The power fluctuations of the hybrid system are absorbed by a battery and EDLC during wide variations in power generated from the solar and wind system, subsequently, the power supplied to the grid is smoothened. This makes higher penetration and incorporation of renewable energy resources to the utility system possible. The control strategy of the inverter is realized to inject the power to the utility system with the unity power factor and a constant DC bus voltage. Both photovoltaic (PV) and wind systems are controlled for extracting maximum output power. In order to observe the performance of the hybrid system under practical situations in smoothing the output power fluctuations, one-day practical site wind velocity and irradiation data are considered. The dynamic modeling and effectiveness of this control method are verified in the MATLAB/Simulink environment. The simulation results show that the output power variations of the hybrid wind/PV system can be significantly mitigated using the combination of battery and EDLC based storage systems. The power smoothing controller proposed for the hybrid storage devices is advantageous as compared to the control technique which uses either battery or ultracapacitor used for smoothing the fluctuating power.
Rocznik
Strony
433--453
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wz.
Twórcy
  • Department of Electrical and Electronics Engineering Manipal Institute of Technology MAHE, Manipal, INDIA-576104, India
autor
  • Department of Electrical and Electronics Engineering NITK, Surathkal, Karnataka, India
autor
  • Department of Electrical and Electronics Engineering Vidya Vikas Institute of Engineering and Technology India
autor
  • Associate Quality Assurance Engineer, Oracle India Private Limited Bangalore, India-560 025
Bibliografia
  • [1] Li X., Li N., Jia X., Hui D., Fuzzy logic based smoothing control of wind/PV generation output fluctuations with battery energy storage system, IEEE International Conference on Electrical Machines and Systems (ICEMS), Beijing, China, pp. 1–5 (2011).
  • [2] Nayak C.K., Nayak M.R., Behera R., Simple moving average based capacity optimization for VRLA battery in PV power smoothing application using MCTLBO, Journal of Energy Storage, vol. 17, pp. 20–28 (2018).
  • [3] Baoquan L., Fang Z., Xianwen B., Control method of the transient compensation process of a hybrid energy storage system based on battery and ultra-capacitor in micro-grid, IEEE International Symposium on Industrial Electronics (ISIE), Hangzhou, China, pp. 1325–1329 (2012).
  • [4] Zhou T., François B., Energy management and power control of a hybrid active wind generator for distributed power generation and grid integration, IEEE Transactions on industrial electronics, vol. 58, no. 1, pp. 95–104 (2011).
  • [5] Fakham H., Lu D., Francois B., Power control design of a battery charger in a hybrid active PV generator for load-following applications, IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 85–94 (2011).
  • [6] Zeng J., Zhang B., Mao C., Wang Y., Use of battery energy storage system to improve the power quality and stability of wind farms, IEEE International Conference on Power System Technology, Chongqing, China, pp. 1–6 (2006).
  • [7] Samson G.T., Undeland T.M., Ulleberg O., Vie P.J., Optimal load sharing strategy in a hybrid power system based on pv/fuel cell/battery/supercapacitor, IEEE International Conference on Clean Electrical Power, Capri, Italy, pp. 141–146 (2009).
  • [8] Kumar S., Ikkurti H.P., Design and Control of Novel Power Electronics Interface for BatteryUltracapacitor Hybrid Energy Storage System, Proceedings of the International Conference on Sustainable Energy and Intelligent Systems (SEISCON), Chennai, India, pp. 20–22 (2011).
  • [9] Abbey C., Joos G., Supercapacitor energy storage for wind energy applications, IEEE Transactions on Industry Applications, vol. 43, no. 3, pp. 769–776 (2007).
  • [10] Muyeen S.M., Shishido S., Ali M.H., Takahashi R., Murata T., Tamura J., Application of energy capacitor system to wind power generation, Wind Energy, vol. 11, no. 4, pp. 335–350 (2008).
  • [11] Lamsal D., Sreeram V., Mishra Y., Kumar D., Smoothing control strategy of wind and photovoltaic output power fluctuation by considering the state of health of battery energy storage system, IET Renewable Power Generation, vol. 13, no. 4, pp. 578–586 (2019).
  • [12] Jayalakshmi N.S., Gaonkar D.N., A new control method to mitigate power fluctuations for grid integrated PV/wind hybrid power system using ultracapacitors, International Journal of Emerging Electric Power Systems, vol. 17, no. 4, pp. 451–461 (2016).
  • [13] Slootweg J.G., De Haan S.W., Polinder H., Kling W.L., General model for representing variable speed wind turbines in power system dynamics simulations, IEEE Transactions on Power Systems, vol. 18, no. 1, pp. 144–151 (2003).
  • [14] Chinchilla M., Arnaltes S., Burgos J.C., Control of permanent-magnet generators applied to variablespeed wind-energy systems connected to the grid, IEEE Transactions on Energy Conversion, vol. 21, no. 1, pp. 130–135 (2006).
  • [15] González-Longatt F.M., Model of photovoltaic module in Matlab, Ii Cibelec, pp. 1–5 (2005).
  • [16] Sharma R., Suhag S., Supercapacitor utilization for power smoothening and stability improvement of a hybrid energy system in a weak grid environment, Turkish Journal of Electrical Engineering and Computer Sciences, vol. 26, no. 1, pp. 347–362 (2018).
  • [17] Ultracapacitor: Parameters, available at: http://www.maxwell.com/.
  • [18] Uzunoglu M., Alam M.S., Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications, IEEE Transactions on Energy Conversion, vol. 21, no. 3, pp.767–775 (2006).
  • [19] Sabhahit J.N., Gaonkar D.N., Nempu P.B., Integrated power flow and voltage regulation of stand-alone PV–fuel cell system with supercapacitors, International Journal of Power and Energy Systems, vol. 37, no. 1 (2017).
  • [20] Rodríguez P., Pou J., Bergas J., Candela J.I., Burgos R.P., Boroyevich D., Decoupled double synchronous reference frame PLL for power converters control, IEEE Transactions on Power Electronics, vol. 22, no. 2, pp. 584–592 (2007).
  • [21] Tremblay O., Dessaint L.A., Dekkiche A.I., A generic battery model for the dynamic simulation of hybrid electric vehicles, IEEE Vehicle Power and Propulsion Conference, Arlington, TX, USA, pp. 284–289 (2007).
  • [22] http://google.org/pdfs/google_heliostat_wind_data_collection, accessed August 2014.
  • [23] http://www.nrel.gov/midc/oahuarchive/(data source from the National Renewable Energy Laboratory), accessed August 2014.
  • [24] Worku M.Y., Abido M.A., Fault Ride-Through and Power Smoothing Control of PMSG-Based Wind Generation Using Supercapacitor Energy Storage System, Arabian Journal for Science and Engineering, vol. 44, no. 3, pp. 2067–2078 (2019).
  • [25] Lee H., Hwang M., Muljadi E., Sørensen P., Kang Y.C., Power-smoothing scheme of a DFIG using the adaptive gain depending on the rotor speed and frequency deviation, Energies, vol. 10, iss. 4, pp. 1–13 (2017), DOI: 10.3390/en10040555.
  • [26] Lin F.J., Lu S.Y., Chao J.Y., Chang J.K., Intelligent PV Power Smoothing Control Using Probabilistic Fuzzy Neural Network with Asymmetric Membership Function, International Journal of Photoenergy (2017), DOI: 10.1155/2017/8387909.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f834a00-3ce2-4f6f-9382-d48ae098f80a
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