Frequency Regulation of Isolated Hybrid Microgrids In the Presence of Uncertainties By Neuro-Fuzzy Based Controllers
Subject Areas : Power Smart Grid
Abbas Aff
1
,
Mohsen Simab
2
,
Mehdi Nafar
3
,
Seyed Alireza Miirzaee
4
1 - Ph.D. Student of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Fars, Iran
2 - Assistant Professor, Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
3 - Assistant Professor, Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran
4 - Assistant Professor, Department of Electrical Engineering, Dariun Branch, Islamic Azad University, Shiraz, Iran
Keywords: Parametric uncertainties, Isolated microgrid, Neuro-fuzzy, Frequency Regulation,
Abstract :
The capability of a neuro-fuzzy control approach for frequency fluctuation damping in an isolated hybrid microgrid (IHMG) system (DEG/WTG /PV/FC/ESSs) is investigated in this paper. Due to the intermittent behavior of renewable energy sources (RESs) like wind turbines and photovoltaic arrays and the time-varying nature of demands, frequency fluctuation is more likely, specifically in the grid-connected mode. Model parametric uncertainties as well as load changes, wind power, and solar irradiation variations are the main uncertainty sources of the IHMG system. In the suggested approach, a neuro-fuzzy output feedback controller with three inputs that are inspired by PID control is designed considering the power balance between demands and generations, by optimizing fuzzy membership functions’ locations. The proposed controller is compared with two popular other methods on the investigated IHMG system in terms of time-domain characteristics. The outcome illustrates remarkable merit compared to the state-of-the-art methods in the presence of simultaneous disturbances and the model parametric uncertainties.
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_||_[1] S. Rajamand, "Load frequency control and dynamic response improvement using energy storage and modeling of uncertainty in renewable distributed generators," Journal of Energy Storage, vol. 37, p. 102467, 2021, doi: 10.1016/j.est.2021.102467.
[2] U. Datta, A. Kalam, and J. Shi, "The relevance of large-scale battery energy storage (BES) application in providing primary frequency control with increased wind energy penetration," Journal of Energy Storage, vol. 23, pp. 9-18, 2019, doi: 10.1016/j.est.2019.02.013.
[3] M. S. Javed, T. Ma, J. Jurasz, and M. Y. Amin, "Solar and wind power generation systems with pumped hydro storage: Review and future perspectives," Renewable Energy, vol. 148, pp. 176-192, 2020.
[4] D. Ribó-Pérez, P. Bastida-Molina, T. Gómez-Navarro, and E. Hurtado-Pérez, "Hybrid assessment for a hybrid microgrid: A novel methodology to critically analyse generation technologies for hybrid microgrids," Renewable Energy, vol. 157, pp. 874-887, 2020 , doi: 10.1016/j.renene.2020.05.095.
[5] A. Sefidgar-Dezfouli , M. Joorabian and E. Mashhour "Optimal Scheduling of Smart Microgrid for Stable and Economic Islanding using Demand as the Spinning Reserve," Computational Intelligence in Electrical Engineering , vol. 10, no. 3, pp. 25-40, 2019.
[6] A. Rahman, L. C. Saikia, and N. Sinha, "Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system," Renewable energy, vol. 105, pp. 41-54, 2017, doi :10.1016/J.RENENE.2016.12.048.
[7] J. Uche, A. Muzás, L. Acevedo, S. Usón, A. Martínez, and A. Bayod, "Experimental tests to validate the simulation model of a Domestic Trigeneration Scheme with hybrid RESs and Desalting Techniques," Renewable Energy, vol. 155, pp. 407-419, 2020, doi: 10.1016/j.renene.2020.03.147.
[8] C. S. A. Nandar, "Robust PI control of smart controllable load for frequency stabilization of microgrid power system," Renewable Energy, vol. 56, pp. 16-23, 2013, doi: 10.1016/j.renene.2012.10.032.
[9] T. Senjyu, T. Nakaji, K. Uezato, and T. Funabashi, "A hybrid power system using alternative energy facilities in isolated island," IEEE Transactions on energy conversion, vol. 20, no. 2, pp. 406-414, 2005, doi: 10.1109/TEC.2004.837275.
[10] D.-J. Lee and L. Wang, "Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: Time-domain simulations," IEEE Transactions on energy conversion, vol. 23, no. 1, pp. 311-320, 2008, doi: 10.1109/TEC.2007.914309.
[11] I. Hussain, S. Ranjan, D. C. Das, and N. Sinha, "Performance analysis of flower pollination algorithm optimized PID controller for wind-PV-SMES-BESS-diesel autonomous hybrid power system," International Journal of Renewable Energy Research (IJRER), vol. 7, no. 2, pp. 643-651, 2017.
[12] J. Li, P. Liu, and Z. Li, "Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification: A case study of west China," Energy, vol. 208, p. 118387, 2020, doi: 10.1016/j.energy.2020.118387.
[13] M. Ranjan and R. Shankar, "A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects," Journal of Energy Storage, vol. 45, p. 103717, 2022, doi: 10.1016/j.est.2021.103717.
[14] M. Eslami, "Low-Frequency Stability Based on Optimal Design of Proportional Integral-Deferential-Fractional Order Fuzzy Controller Based on Intelligent Hybrid Algorithm," Computational Intelligence in Electrical Engineering, vol. 13, no. 1, pp. 103-120, 2022.
[15] M. A. Jirdehi, V. S. Tabar, S. Ghassemzadeh, and S. Tohidi, "Different aspects of microgrid management: A comprehensive review," Journal of Energy Storage, vol. 30, p. 101457, 2020, doi: 10.1016/j.est.2020.101457.
[16] X. Yang, J. Su, M. Ding, and D. Yan, "Research on frequency control for microgrid in islanded operation," Power System Technology, vol. 34, no. 1, pp. 164-168, 2010.
[17] D. Gielen, F. Boshell, D. Saygin, M. D. Bazilian, N. Wagner, and R. Gorini, "The role of renewable energy in the global energy transformation," Energy Strategy Reviews, vol. 24, pp. 38-50, 2019 , doi: 10.1016/j.esr.2019.01.006.
[18] R. Carli and M. Dotoli, "Decentralized control for residential energy management of a smart users ʼ microgrid with renewable energy exchange," IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 3, pp. 641-656, 2019, doi: 10.1109/JAS.2019.1911462.
[19] H. Bevrani, H. Golpîra, A. R. Messina, N. Hatziargyriou, F. Milano, and T. Ise, "Power system frequency control: An updated review of current solutions and new challenges," Electric Power Systems Research, vol. 194, p. 107114, 2021, doi: 10.1016/j.epsr.2021.107114.
[20] M. Rahmani, F. Faghihi, and B. Mozafari, "Analysis and Evaluation of Hybrid Cooperative Frequency Control for Micro Grids in Islanding Mode in Case of Solar Panel Outage and Load Variation," Journal of Environmental Science and Technology, vol. 21, no. 7, pp. 49-61, 2019 , doi: 10.22034/JEST.2019.22825.3229.
[21] P. K. Ray, S. R. Mohanty, and N. Kishor, "Proportional–integral controller based small-signal analysis of hybrid distributed generation systems," Energy Conversion and Management, vol. 52, no. 4, pp. 1943-1954, 2011, doi: 10.1016/j.enconman.2010.11.011.
[22] C. Wang, Y. Mi, Y. Fu, and P. Wang, "Frequency control of an isolated micro-grid using double sliding mode controllers and disturbance observer," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 923-930, 2016 , doi: 10.1109/TSG.2016.2571439.
[23] A. Bagheri, A. Jabbari, and S. Mobayen, "An intelligent ABC-based terminal sliding mode controller for load-frequency control of islanded micro-grids," Sustainable Cities and Society, vol. 64, p. 102544, 2021 , doi: 10.1016/j.scs.2020.102544.
[24] A. Latif, A. Pramanik, D. C. Das, I. Hussain, and S. Ranjan, "Plug in hybrid vehicle-wind-diesel autonomous hybrid power system: frequency control using FA and CSA optimized controller," International Journal of System Assurance Engineering and Management, vol. 9, no. 5, pp. 1147-1158, 2018 , doi: 10.1007/s13198-018-0721-1.
[25] S. Ganguly, C. K. Shiva, and V. Mukherjee, "Frequency stabilization of isolated and grid connected hybrid power system models," Journal of Energy Storage, vol. 19, pp. 145-159, 2018 ,doi: 10.1016/j.est.2018.07.014.
[26] X. Li, Y.-J. Song, and S.-B. Han, "Frequency control in micro-grid power system combined with electrolyzer system and fuzzy PI controller," Journal of Power Sources, vol. 180, no. 1, pp. 468-475, 2008, doi: 10.1016/j.jpowsour.2008.01.092.
[27] A. Annamraju and S. Nandiraju, "Robust frequency control in an autonomous microgrid: a two-stage adaptive fuzzy approach," Electric Power Components and Systems, vol. 46, no. 1, pp. 83-94, 2018, doi: 10.1080/15325008.2018.1432723.
[28] T. Mahto and V. Mukherjee, "A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system," Energy, vol. 130, pp. 339-350, 2017, doi: 10.1016/j.energy.2017.04.155.
[29] M. I. Alomoush, "Load frequency control and automatic generation control using fractional-order controllers," Electrical Engineering, vol. 91, no. 7, pp. 357-368, 2010, doi: 10.1007/s00202-009-0145-7.
[30] T. Mahto, H. Malik, V. Mukherjee, M. A. Alotaibi, and A. Almutairi, "Renewable generation based hybrid power system control using fractional order-fuzzy controller," Energy Reports, vol. 7, pp. 641-653, 2021, doi: 10.1016/J.EGYR.2021.01.022.
[31] D. Rerkpreedapong, A. Hasanovic, and A. Feliachi, "Robust load frequency control using genetic algorithms and linear matrix inequalities," IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 855-861, 2003, doi: 10.1109/TPWRS.2003.811005.
[32] M. Dashtdar et al., "Improving the power quality of island microgrid with voltage and frequency control based on a hybrid genetic algorithm and PSO," IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3201819.
[33] D. Mishra, P. C. Sahu, R. C. Prusty, and S. Panda, "A fuzzy adaptive fractional order-PID controller for frequency control of an islanded microgrid under stochastic wind/solar uncertainties," International Journal of Ambient Energy, pp. 1-10, 2021, doi: 10.1080/01430750.2021.1914163.
[34] D. Sharma, "Fuzzy with adaptive membership function and deep learning model for frequency control in PV-based microgrid system," Soft Computing, vol. 26, no. 19, pp. 9883-9896, 2022, doi: 10.1007/s00500-022-07342-y.
[35] H. Karimi, M. T. Beheshti, A. Ramezani, and H. Zareipour, "Intelligent control of islanded AC microgrids based on adaptive neuro-fuzzy inference system," International Journal of Electrical Power & Energy Systems, vol. 133, p. 107161, 2021, doi: 10.1016/j.ijepes.2021.107161
[36] D. Gamage, X. Zhang, A. Ukil, C. Wanigasekara, and A. Swain, "Design of ANFIS Controller for a DC Microgrid," in International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021, pp. 1-6, doi: 10.1109/ICEPE50861.2021.9404439.
[37] L. Wang, D.-J. Lee, W.-J. Lee, and Z. Chen, "Analysis of a novel autonomous marine hybrid power generation/energy storage system with a high-voltage direct current link," Journal of Power Sources, vol. 185, no. 2, pp. 1284-1292, 2008, doi: 10.1016/j.jpowsour.2008.08.037.
[38] H. Bevrani, M. R. Feizi, and S. Ataee, "Robust frequency control in an islanded microgrid: H͚ µ-synthesis approaches," IEEE transactions on smart grid, vol. 7, no. 2, pp. 706-717, March 2016, doi: 10.1109/TSG.2015.2446984.
[39] F. A. Inthamoussou, F. D. Bianchi, H. De Battista, and R. J. Mantz, "LPV wind turbine control with anti-windup features covering the complete wind speed range," IEEE Transactions on Energy Conversion, vol. 29, no. 1, pp. 259-266, 2014, doi: 10.1109/TEC.2013.2294212.
[40] M. I. Guerra, F. M. de Araújo, J. T. de Carvalho Neto, and R. G. Vieira, "Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems," Energy Systems, pp. 1-37, 2022, doi: 10.1007/s12667-022-00513-8.
[41] J. Zhao, R. Gorez, and V. Wertz, "Synthesis of fuzzy control systems based on linear Takagi-Sugeno fuzzy models," in Multiple Model Approaches to Modelling and Control: CRC Press, 2020, pp. 307-336.
[42] L. Fu, L. Zhou, J. Liang, and M. Lin, "PID parameters self-tuning based on simplex method," in Chinese Control And Decision Conference (CCDC), 2018, pp. 4769-4774, doi: 10.1109/CCDC.2018.8407956.
