Power fluctuation suppression for grid connected permanent magnet synchronous generator type wind power generation system
DOI:
https://doi.org/10.20998/2074-272X.2024.5.10Keywords:
wind power generation system, power grid system, superconducting magnetic energy storage, fuzzy logic controlAbstract
Introduction. Weather changes lead to create oscillations in values of power extracted from renewable energy resources (RERs). These power oscillations pose significant challenges in RERs integration process with the power grid systems, through its effects on power system stability. Many studies have been performed in various methods to mitigate the output power fluctuation of wind power generation system (WPGS). Purpose. This study focuses on increasing the mitigation rate of the output power fluctuation of WPGS caused by the rapid wind speed changes during wind gusts. Superconducting magnetic energy storage (SMES) system through its properties represents an effective solution for the WPGS power fluctuation issue. WPGS and SMES systems are linked to power grid system through the point of common coupling (PCC). Methods. This paper proposes two robust controllers for controlling the SMES system. The first controller is a Fuzzy Logic Controller (FLC), which has been utilized for controlling the power exchange between the SMES coil and the PCC of the utility grid. While the second controller is a PI controller, which have been utilized to regulate the voltages between the two sides of the PCC and the DC link capacitor in the SMES system. The proposed controllers have been constructed so that can make the SMES system absorb/deliver the real power instantaneously from/toward PCC according the wind speed changes. MATLAB/Simulink has been utilized to simulate the system under study and test the performance of proposed controllers. In addition, two different wind speed scenarios have been used in the simulation. Practical value. Results of simulation have proven the effectiveness of proposed controllers so that the active power fluctuation delivered to utility grid can be reduced by up to 89 %. References 31, tables 4, figures 9.
References
Louarem S., Kebbab F.Z., Salhi H., Nouri H. A comparative study of maximum power point tracking techniques for a photovoltaic grid-connected system. Electrical Engineering & Electromechanics, 2022, no. 4, pp. 27-33. doi: https://doi.org/10.20998/2074-272X.2022.4.04.
Manikandan K., Sasikumar S., Arulraj R. A novelty approach to solve an economic dispatch problem for a renewable integrated micro-grid using optimization techniques. Electrical Engineering & Electromechanics, 2023, no. 4, pp. 83-89. doi: https://doi.org/10.20998/2074-272X.2023.4.12.
Maradin D. Advantages and disadvantages of renewable energy sources utilization. International Journal of Energy Economics and Policy, 2021, vol. 11, no. 3, pp. 176-183. doi: https://doi.org/10.32479/ijeep.11027.
Youcef D., Khatir K., Yassine B. Design of neural network fractional-order backstepping controller for MPPT of PV systems using fractional-order boost converter. International Transactions on Electrical Energy Systems, 2021, vol. 31, no. 12, art. no. e13188. doi: https://doi.org/10.1002/2050-7038.13188.
Said S.M., Salama H.S., Hartmann B., Vokony I. A robust SMES controller strategy for mitigating power and voltage fluctuations of grid-connected hybrid PV–wind generation systems. Electrical Engineering, 2019, vol. 101, no. 3, pp. 1019-1032. doi: https://doi.org/10.1007/s00202-019-00848-z.
Ghanaatian M., Lotfifard S. Control of Flywheel Energy Storage Systems in the Presence of Uncertainties. IEEE Transactions on Sustainable Energy, 2019, vol. 10, no. 1, pp. 36-45. doi: https://doi.org/10.1109/TSTE.2018.2822281.
Nayak C.K., Nayak M.R. Technoeconomic analysis of a grid-connected PV and battery energy storage system considering time of use pricing. Turkish Journal of Electrical Engineering and Computer Sciences, 2018, vol. 26, no. 1, pp. 318-329. doi: https://doi.org/10.3906/elk-1703-35.
Ali Moussa M., Derrouazin A., Latroch M., Aillerie M. A hybrid renewable energy production system using a smart controller based on fuzzy logic. Electrical Engineering & Electromechanics, 2022, no. 3, pp. 46-50. doi: https://doi.org/10.20998/2074-272X.2022.3.07.
Fan J., Xie H., Chen J., Jiang D., Li C., Ngaha Tiedeu W., Ambre J. Preliminary feasibility analysis of a hybrid pumped-hydro energy storage system using abandoned coal mine goafs. Applied Energy, 2020, vol. 258, art. no. 114007. doi: https://doi.org/10.1016/j.apenergy.2019.114007.
Bruninx K., Dvorkin Y., Delarue E., Pandzic H., Dhaeseleer W., Kirschen D.S. Coupling Pumped Hydro Energy Storage With Unit Commitment. IEEE Transactions on Sustainable Energy, 2016, vol. 7, no. 2, pp. 786-796. doi: https://doi.org/10.1109/TSTE.2015.2498555.
Wujong Lee, Hanju Cha. A supercapacitor remaining energy control method for smoothing a fluctuating renewable energy power. 2013 IEEE ECCE Asia Downunder, 2013, pp. 398-403. doi: https://doi.org/10.1109/ECCE-Asia.2013.6579127.
Aly M.M., Mohamed E.A., Salama H.S., Said S.M., Abdel-Akher M., Qudaih Y. A Developed Voltage Control Strategy for Unbalanced Distribution System During Wind Speed Gusts Using SMES. Energy Procedia, 2016, vol. 100, pp. 271-279. doi: https://doi.org/10.1016/j.egypro.2016.10.177.
Yao C., Ma Y. Superconducting materials: Challenges and opportunities for large-scale applications. IScience, 2021, vol. 24, no. 6, art. no. 102541. doi: https://doi.org/10.1016/j.isci.2021.102541.
Seung-Tak Kim, Byung-Kwan Kang, Sun-Ho Bae, Jung-Wook Park. Application of SMES and Grid Code Compliance to Wind/Photovoltaic Generation System. IEEE Transactions on Applied Superconductivity, 2013, vol. 23, no. 3, art. no. 5000804. doi: https://doi.org/10.1109/TASC.2012.2232962.
Jin J.X., Wang J., Yang R.H., Zhang T.L., Mu S., Fan Y.J., Xing Y.Q. A superconducting magnetic energy storage with dual functions of active filtering and power fluctuation suppression for photovoltaic microgrid. Journal of Energy Storage, 2021, vol. 38, art. no. 102508. doi: https://doi.org/10.1016/j.est.2021.102508.
Rahman O., Muttaqi K.M., Sutanto D. High Temperature Superconducting Devices and Renewable Energy Resources in Future Power Grids: A Case Study. IEEE Transactions on Applied Superconductivity, 2019, vol. 29, no. 2, pp. 1-4. doi: https://doi.org/10.1109/TASC.2019.2895677.
Mosaad M.I., Abu-Siada A., El-Naggar M.F. Application of Superconductors to Improve the Performance of DFIG-Based WECS. IEEE Access, 2019, vol. 7, pp. 103760-103769. doi: https://doi.org/10.1109/ACCESS.2019.2929261.
Bizon N. Effective mitigation of the load pulses by controlling the battery/SMES hybrid energy storage system. Applied Energy, 2018, vol. 229, pp. 459-473. doi: https://doi.org/10.1016/j.apenergy.2018.08.013.
Qais M.H., Hasanien H.M., Alghuwainem S. Output power smoothing of wind power plants using self-tuned controlled SMES units. Electric Power Systems Research, 2020, vol. 178, art. no. 106056. doi: https://doi.org/10.1016/j.epsr.2019.106056.
Huang C., Zheng Z., Xiao X., Chen X. Cooperative strategy of SMES device and modified control for cost-effective fault ride-through enhancement and power smoothing of 10 MW class superconducting wind turbine. Journal of Renewable and Sustainable Energy, 2020, vol. 12, no. 3, art. no. 033302. doi: https://doi.org/10.1063/1.5143565.
Boudia A., Messalti S., Harrag A., Boukhnifer M. New hybrid photovoltaic system connected to superconducting magnetic energy storage controlled by PID-fuzzy controller. Energy Conversion and Management, 2021, vol. 244, art. no. 114435. doi: https://doi.org/10.1016/j.enconman.2021.114435.
Slootweg J.G., de Haan S.W.H., Polinder H., Kling W.L. General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Transactions on Power Systems, 2003, vol. 18, no. 1, pp. 144-151. doi: https://doi.org/10.1109/TPWRS.2002.807113.
Soliman M.A., Hasanien H.M., Azazi H.Z., El-Kholy E.E., Mahmoud S.A. An Adaptive Fuzzy Logic Control Strategy for Performance Enhancement of a Grid-Connected PMSG-Based Wind Turbine. IEEE Transactions on Industrial Informatics, 2019, vol. 15, no. 6, pp. 3163-3173. doi: https://doi.org/10.1109/TII.2018.2875922.
Zine H.K.E., Abed K. Smart current control of the wind energy conversion system based permanent magnet synchronous generator using predictive and hysteresis model. Electrical Engineering & Electromechanics, 2024, no. 2, pp. 40-47. doi: https://doi.org/10.20998/2074-272X.2024.2.06.
Ali M.H., Park M., Yu I.-K., Murata T., Tamura J. Improvement of Wind-Generator Stability by Fuzzy-Logic-Controlled SMES. IEEE Transactions on Industry Applications, 2009, vol. 45, no. 3, pp. 1045-1051. doi: https://doi.org/10.1109/TIA.2009.2018901.
Zadeh L.A., Klir G.J., Yuan B. Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems. World Scientific. 1996, vol. 6, 840 p. doi: https://doi.org/10.1142/2895.
Kaddache M., Drid S., Khemis A., Rahem D., Chrifi-Alaoui L. Maximum power point tracking improvement using type-2 fuzzy controller for wind system based on the double fed induction generator. Electrical Engineering & Electromechanics, 2024, no. 2, pp. 61-66. doi: https://doi.org/10.20998/2074-272X.2024.2.09.
Aissaoui M., Bouzeria H., Benidir M., Labed M.A. Harmonics suppression in high-speed railway via single-phase traction converter with an LCL filter using fuzzy logic control strategy. Electrical Engineering & Electromechanics, 2024, no. 2, pp. 16-22. doi: https://doi.org/10.20998/2074-272X.2024.2.03.
Topaloglu F., Pehlivan H. Analysis of the effects of different fuzzy membership functions for wind power plant installation parameters. 2018 6th International Symposium on Digital Forensic and Security (ISDFS), 2018, pp. 1-6. doi: https://doi.org/10.1109/ISDFS.2018.8355383.
Aly M.M., Abdel-Akher M., Said S.M., Senjyu T. A developed control strategy for mitigating wind power generation transients using superconducting magnetic energy storage with reactive power support. International Journal of Electrical Power & Energy Systems, 2016, vol. 83, pp. 485-494. doi: https://doi.org/10.1016/j.ijepes.2016.04.037.
Mukherjee P., Rao V.V. Effective location of SMES for power fluctuation mitigation of grid connected doubly fed induction generator. Journal of Energy Storage, 2020, vol. 29, art. no. 101369. doi: https://doi.org/10.1016/j.est.2020.101369.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 A. Nid, S. Sayah, A. Zebar
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
