A Disturbance Observer Based Fuzzy Feedforward Proportional Integral Load Frequency Control of Microgrids

Document Type : Original Article

Authors

1 Distributed Intelligent Optimization Research Laboratory, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

2 Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

3 Department of Electrical and Computer Engineering, Islamic Azad University of Gachsaran, Gachsaran, Iran

Abstract

In this paper, the load frequency control problem of microgrids in islanded operation mode is tackled using Fuzzy Feedforward PI (FFPI) controller. To this end, a feedforward loop is considered in the control structure of the microgrid in addition to the classical feedback controller wherein a proportional integrator controller is used. The disturbance signal, which can be load variations or renewable energy resources uncertainties, is estimated using a disturbance observer. The understudy microgrid includes wind turbine and solar cells as renewable sources, and a diesel generator and loads. A fuzzy controller is also used for pitch angle control of the wind turbine, which may smooth out the generated power and improve the frequency control of microgrid. To show the capability of the proposed strategy, two different scenarios are considered and the obtained simulation results easily approve the efficiency of the proposed structure for load frequency control of microgrid in islanded operation mode.

Keywords


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    1. Yager, R. R., and Zadeh, L. A. “An introduction to fuzzy logic applications in intelligent systems.” Springer Science & Business Media. Vol. 165, (2012).
    2. Bakhoda, O. Z., Menhaj, M. B. and Gharehpetian, G. B. “Fuzzy logic controller vs. PI controller for MPPT of three-phase grid-connected PV system considering different irradiation conditions.” Journal of Intelligent & Fuzzy Systems, Vol. 30, No. 3, (2016), 1353-1366. DOI: 10.3233/IFS-152049.
    3. Yan, H., Xu, Y., Cai, F., Zhang, H., Zhao, W. and Gerada, C. “PWM-VSI Fault Diagnosis for PMSM Drive Based on Fuzzy Logic Approach.” IEEE Transactions on Power Electronics. Vol. 34, No. 1, (2018), 759-768. DOI: 10.1109/TPEL.2018.2814615.
    4. Zhang, B., Dou, C., Yue, D., Zhang, Z., and Zhang, T.  “A cyber-physical cooperative hierarchical control strategy for islanded microgrid facing with random communication failure.” IEEE Systems Journal, Vol. 14, No. 2, (2020), 2849-2860. DOI: 10.1109/JSYST.2019.2956774.
    5. Sedghi L, Emam M, Fakharian A and Savaghebi M.  “Decentralized control of an islanded microgrid based on offline model reference adaptive control.” Journal of Renewable and Sustainable Energy. Vol. 10, No. 6, (2018), 065301. DOI: 10.1063/1.5046803.
    6. Gholami, S., Mohammad A., and Sajeeb S. “Control strategy for dispatchable distributed energy resources in islanded microgrids.” IEEE Transactions on Power Systems, Vol. 33. No. 1, (2018), 141-152. DOI: 10.1109/TPWRS.2017.2692801.
    7. Farzinfar, M., Nair, N. K. C., and Bahadornejad, M. “A New Adaptive Load-Shedding and Restoration Strategy for Autonomous Operation of Microgrids: A Real-Time Study.” International Journal of Engineering, Transactions A: Basics, Vol. 33, No. 1 (2020), 82-91. doi:10.5829/ije.2020.33.01a.10.
    8. Khooban, M. H., Niknam, T., Blaabjerg, F., Davari, P. and Dragicevic, T. “A robust adaptive load frequency control for micro-grids.” ISA Transactions, Vol. 65, (2016), 220-229. DOI: 10.1016/j.isatra.2016.07.002.
    9. Wang, C., Mi, Y., Fu, Y. and Wang, P. “Frequency control of an isolated micro-grid using double sliding mode controllers and disturbance observer.” IEEE Transactions on Smart Grid, Vol. 9, No. 2, (2016), 923-930. DOI: 10.1109/TSG.2016.2571439.
    10. Pandey, S. K., Mohanty, S. R., and Kishor, N. “A literature survey on load–frequency control for conventional and distribution generation power systems.” Renewable and Sustainable Energy Reviews, Vol. 25, (2013), 318-334. DOI: 10.1016/j.rser.2013.04.029.
    11. Pahasa, J. and Ngamroo, I. “Coordinated control of wind turbine blade pitch angle and PHEVs using MPCs for load frequency control of microgrid.” IEEE Systems Journal, Vol. 10, No. 1, (2016), 97-105. DOI: 10.1109/JSYST.2014.2313810.
    12. Yu, D., Zhu, H., Han, W., and Holburn, D. “Dynamic multi agent-based management and load frequency control of PV/Fuel cell/wind turbine/CHP in autonomous microgrid system.” Energy, Vol. 173, (2019), 554-568. DOI: 10.1016/j.energy.2019.02.094.
    13. Nandar, C. S. A. “Robust PI control of smart controllable load for frequency stabilization of microgrid power system.” Renewable Energy, Vol. 56, (2013), 16-23. doi:10.1016/j.renene.2012.10.032.
    14. Bevrani, H., Feizi, M. R. and Ataee, S. “Robust Frequency Control in an Islanded Microgrid: H∞ and μ-Synthesis Approaches.” IEEE Transactions on Smart Grid. Vol. 7, No. 2, (2016) 706-717. DOI: 10.1109/TSG.2015.2446984.
    15. Naghash, R., Alavi, S. M. M., and Afjei, S. E. "Robust Control of Wireless Power Transfer despite Load and Data Communications Uncertainties." IEEE Journal of Emerging and Selected Topics in Power Electronics, (2020) DOI: 10.1109/JESTPE.2020.3033001.
    16. Ara, A. L., Tolabi, H. B. and Hosseini, R. “Dynamic modeling and controller design of distribution static compensator in a microgrid based on combination of fuzzy set and galaxy-based search algorithm.” International Journal of Engineering-Transactions A: Basics, Vol. 29, No. 10, (2016). 1392-1400. DOI: 10.5829/idosi.ije.2016.29.10a.10.
    17. Grimholt, C., Skogestad, S., “Optimal PI-Control and Verification of the SIMC Tuning Rule.” IFAC Proceedings Volumes, Vol. 45, No. 3, (2012), 11-22. DOI: 10.3182/20120328-3-IT-3014.00003.
    18. Rajesh, K. S., Dash, S. S. and Rajagopal, R. “Load Frequency Control of Microgrid: A Technical Review.” In Green Buildings and Sustainable Engineering. 115-138, Springer, Singapore (2020). DOI: 10.1007/978-981-15-1063-2_9.
    19. Abhishek, A., Ranjan, A., Devassy, S., Verma, B. K., Ram, S. K., and Dhakar, A. K. “Review of hierarchical control strategies for DC microgrid.” IET Renewable Power Generation, Vol. 14, No. 10, (2020), 1631-1640. DOI: 10.1049/iet-rpg.2019.1136.
    20. Boutabba, T., Drid, S., Chrifi-Alaoui, L., and Benbouzid, M. E. “A new implementation of maximum power point tracking based on fuzzy logic algorithm for solar photovoltaic system.” International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 4, (2018), 580-587. DOI: 10.5829/ije.2018.31.04a.09.
    21. Mahmoud, M. S., Hussain, S. A. and Abido, M. A. “Modeling and control of microgrid: An overview.” Journal of the Franklin Institute, Vol. 351, No. 5, (2014), 2822-2859.  doi:10.1016/j.jfranklin.2014.01.016.
    22. Khalghani, M. R., Khooban, M. H., Mahboubi-Moghaddam, E., Vafamand, N. and Goodarzi, M. “A self-tuning load frequency control strategy for microgrids: Human brain emotional learning.” International Journal of Electrical Power & Energy Systems, Vol. 75, (2016), 311-319. DOI: 10.1016/j.ijepes.2015.08.026.
    23. Esmaeili, M., Shayeghi, H., Mohammad Nejad, H. and Younesi, A. “Reinforcement learning based PID controller design for LFC in a microgrid.” COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 36, No. 4, (2017), 1287-1297. DOI: 10.1108/COMPEL-09-2016-0408.
    24. Ghafouri, A., Milimonfared, J. and Gharehpetian, G. B. “Fuzzy-Adaptive Frequency Control of Power System Including Microgrids, Wind Farms, and Conventional Power Plants.” IEEE Systems Journal, Vol. 12, No. 3, (2017), 2772-2781. DOI: 10.1109/JSYST.2017.2715819.
    25. Kayalvizhi, S. and Kumar, D. V.: Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control. IEEE Access. 5, 16241-16251 (2017). DOI: 10.1109/ACCESS.2017.2735545.
    26. Khooban, M. H., Dragicevic, T., Blaabjerg, F. and Delimar, M. “Shipboard Microgrids: A Novel Approach to Load Frequency Control.” IEEE Transactions on Sustainable Energy. Vol. 9, No. 2, (2018), 843-852. DOI: 10.1109/TSTE.2017.2763605.
    27. Khooban, M. H., Niknam, T., Shasadeghi, M., Dragicevic, T. and Blaabjerg, F. “Load Frequency Control in Microgrids Based on a Stochastic Non-Integer Controller.” IEEE Transactions on Sustainable Energy. Vol. 9, No. 2, (2018), 853-861. DOI: 10.1109/TSTE.2017.2763607.
    28. Kassem, A. M. “Modeling and control design of a stand-alone wind energy conversion system based on functional model predictive control.” Energy Systems. Vol. 3, No. 3, (2012), 303-323. DOI: 10.1007/s12667-012-0051-3.
    29. Burkart, R., Margellos, K. and Lygeros, J. “Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization.” In Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on, 5485-5490 (2011). DOI: 10.1109/CDC.2011.6160709.
    30. Asgari, Sh, and Yazdizadeh A. “Robust model-based fault diagnosis of mechanical drive train in V47/660 kW wind turbine.” Energy Systems, Vol. 9, No. 4, (2018), 921-952. DOI: 10.1007/s12667-017-0231-2.
    31. Asgari, Sh, Yazdizadeh, A. and Kazemi M. G. “Robust Model-Based Fault Detection and Isolation for V47/660kW Wind Turbine.” AUT Journal of Modeling and Simulation. Vol. 45, No. 1, (2015), 55-66. DOI: 10.22060/MISCJ.2015.489.
    32. Alonge, F., D'Ippolito, F., Cangemi, T., Magazzu, A. and Maniscalchi, M. “A model-based control strategy for wind turbines with asynchronous generator.” In Clean Electrical Power, ICCEP'07. International Conference on, 506-513 (2007). DOI: 10.1109/ICCEP.2007.384262.
    33. Ugalde-Loo, C. E., Ekanayake, J. B. and Jenkins, N. “State-space modeling of wind turbine generators for power system studies.” IEEE Transactions on Industry Applications, Vol. 49, No. 1, (2013), 223-232. DOI: 10.1109/TIA.2012.2228836.
    34. Lopes, J. P., Moreira, C. L. and Madureira, A. G. “Defining control strategies for microgrids islanded operation.” IEEE Transactions on Power Systems. Vol. 21, No. 2, (2006), 916-924. DOI: 10.1109/TPWRS.2006.873018.
    35. Shivaie, M., Kazemi, M. G., and Ameli, M. T. “A modified harmony search algorithm for solving load-frequency control of non-linear interconnected hydrothermal power systems.” Sustainable Energy Technologies and Assessments, Vol. 10, (2015), 53-62. DOI: 10.1016/j.seta.2015.02.001.