![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(2) Fahd A. Banakhr
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(3) * Mohamed Metwally Mahmoud
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(4) Mohamed I. Mosaad
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(5) Asmaa Fawzy Rashwan
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(6) Mohamed Roshdi Mosa
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(7) Mahmoud M. Hussein
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
(8) Tarek Hassan Mohamed
![Mail](https://pubs2.ascee.org/lib/pkp/templates/images/icons/mail.gif)
*corresponding author
AbstractThe negative impacts of microgrids (µGs) on the load frequency highlight the importance of implementing a robust, efficient, and adaptable controller to ensure stability. This work introduces an adaptive load frequency control (LFC) for an isolated µG that includes a PV system and electric vehicles (EVs), which have a significant impact on frequency. This control utilizes a combination of sine cosine optimization (SCO) and balloon effect identifier (BEI) algorithms. The controller presented in this work transforms the LFC process into an optimization problem that is highly compatible with various random situations encountered in the control process. The suggested control method is a novel approach by utilizing SCO+BEI for adaptive LFC application, resulting in a highly efficient response. The effectiveness of the proposed adaptive controller is assessed under the conditions of 17 MW variable load, system parameters uncertainties, and installed PV systems of 6 MW. MATLAB / Simulink package is rummage-sale as a digital test environment. According to simulation results, the proposed adaptive controller succeeds in regulating the frequency and power of an islanded µG. To measure the efficiency of the proposed control scheme, a comparison between other control techniques (such as adaptive controller using Jaya+BEI and classical integral controller) is done. The findings of the studied scenarios assured that the not compulsory control method using (SCO+BEI) has an obvious superiority over other control methods in terms of frequency solidity in case of random load instabilities and parameter uncertainties. Finally, it can be said that the proposed controller can better ensure the safe operation of the µGs.
KeywordsLFC; Microgrid; Hybrid Sine Cosine and Balloon Effect Method; Uncertainties; Green Energy
|
DOIhttps://doi.org/10.31763/ijrcs.v4i2.1448 |
Article metrics10.31763/ijrcs.v4i2.1448 Abstract views : 589 | PDF views : 178 |
Cite |
Full Text![]() |
References
[1] G. Yanagawa and H. Aki, “Grid Flexibility Provision by Optimization of Fast-Charging Demand of Battery Electric Vehicles,” IEEE Transactions on Smart Grid, vol. 14, no. 3, pp. 2202-2213, 2023, https://doi.org/10.1109/TSG.2022.3219403.
[2] N. Benalia et al., “Enhancing electric vehicle charging performance through series-series topology resonance-coupled wireless power transfer,” PLoS One, vol. 19, no. 3, p. e0300550, 2024, https://doi.org/10.1371/journal.pone.0300550.
[3] H. Bevrani, F. Daneshfar and T. Hiyama, “A New Intelligent Agent-Based AGC Design With Real-Time Application,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 6, pp. 994-1002, 2012, https://doi.org/10.1109/TSMCC.2011.2175916.
[4] M. Awad et al., “A review of water electrolysis for green hydrogen generation considering PV/wind/hybrid/hydropower/geothermal/tidal and wave/biogas energy systems, economic analysis, and its application,” Alexandria Engineering Journal, vol. 87, pp. 213-239, 2024, https://doi.org/10.1016/j.aej.2023.12.032.
[5] A. Smolarz et al., “Increasing Technical Efficiency of Renewable Energy Sources in Power Systems,” Energies, vol. 16, no. 6, p. 2828, 2023, https://doi.org/10.3390/en16062828.
[6] R. Kassem et al., “A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic / Biomass Power Generation for Rural Electrification : A Real Case Study,” Sustainability, vol. 16, no. 5, p. 2036, 2024, https://doi.org/10.3390/su16052036.
[7] M. M. Mahmoud, “Improved current control loops in wind side converter with the support of wild horse optimizer for enhancing the dynamic performance of PMSG-based wind generation system,” International Journal of Modelling and Simulation, vol. 43, no. 6, pp. 952-966, 2023, https://doi.org/10.1080/02286203.2022.2139128.
[8] G. Shahgholian, “A brief review on microgrids: Operation, applications, modeling, and control,” International Transactions on Electrical Energy Systems, vol. 31, no. 6, p. e12885, 2021, https://doi.org/10.1002/2050-7038.12885.
[9] A. M. Ewias et al., “Advanced load frequency control of microgrid using a bat algorithm supported by a balloon effect identifier in the presence of photovoltaic power source,” PLoS One, vol. 18, no. 10, p. e0293246, 2023, https://doi.org/10.1371/journal.pone.0293246.
[10] D. Saha, N. Bazmohammadi, J. C. Vasquez, and J. M. Guerrero, “Multiple Microgrids: A Review of Architectures and Operation and Control Strategies,” Energies, vol. 16, no. 2, p. 600, 2023, https://doi.org/10.3390/en16020600.
[11] T. Kerdphol, F. S. Rahman, Y. Mitani, M. Watanabe and S. K. Küfeoǧlu, “Robust Virtual Inertia Control of an Islanded Microgrid Considering High Penetration of Renewable Energy,” IEEE Access, vol. 6, pp. 625-636, 2018, https://doi.org/10.1109/ACCESS.2017.2773486.
[12] H. Abubakr, J. C. Vasquez, T. Hassan Mohamed, and J. M. Guerrero, “The concept of direct adaptive control for improving voltage and frequency regulation loops in several power system applications,” International Journal of Electrical Power & Energy Systems, vol. 140, p. 108068, 2022, https://doi.org/10.1016/j.ijepes.2022.108068.
[13] M. M. Hussein, T. H. Mohamed, M. M. Mahmoud, M. Aljohania, M. I. Mosaad, and A. M. Hassan, “Regulation of multi-area power system load frequency in presence of V2G scheme,” PLoS One, vol. 18, no. 9, p. e0291463, 2023, https://doi.org/10.1371/journal.pone.0291463.
[14] M. Z. Kreishan and A. F. Zobaa, “Optimal allocation and operation of droop-controlled islanded microgrids: A review,” Energies, vol. 14, no. 15, p. 4653, 2021, https://doi.org/10.3390/en14154653.
[15] M. A. El-Hameed, M. M. Elkholy, and A. A. El-Fergany, “Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractal optimiser,” IET Renewable Power Generation, vol. 13, no. 12, pp. 2174-2183, 2019, https://doi.org/10.1049/iet-rpg.2019.0186.
[16] J. Liu, Y. Miura and T. Ise, “Comparison of Dynamic Characteristics Between Virtual Synchronous Generator and Droop Control in Inverter-Based Distributed Generators,” IEEE Transactions on Power Electronics, vol. 31, no. 5, pp. 3600-3611, 2016, https://doi.org/10.1109/TPEL.2015.2465852.
[17] A. M. Ewais, A. M. Elnoby, T. H. Mohamed, M. M. Mahmoud, Y. Qudaih, and A. M. Hassan, “Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation,” PLoS One, vol. 18, no. 4, p. e0283561, 2023, https://doi.org/10.1371/journal.pone.0283561.
[18] C. Chen, K. Zhang, J. Geng, K. Yuan, Z. Yang, and L. Li, “Multiobjective-based optimal allocation scheme for load frequency control,” International Transactions on Electrical Energy System, vol. 27, no. 7, p. e2334, 2017, https://doi.org/10.1002/etep.2334.
[19] M. H. Fini and M. E. H. Golshan, “Determining optimal virtual inertia and frequency control parameters to preserve the frequency stability in islanded microgrids with high penetration of renewables,” Electric Power Systems Research, vol. 154, pp. 13-22, 2018, https://doi.org/10.1016/j.epsr.2017.08.007.
[20] Y. Li, Z. Xu and K. P. Wong, “Advanced Control Strategies of PMSG-Based Wind Turbines for System Inertia Support,” IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 3027-3037, 2017, https://doi.org/10.1109/TPWRS.2016.2616171.
[21] H. Ye, W. Pei and Z. Qi, “Analytical Modeling of Inertial and Droop Responses From a Wind Farm for Short-Term Frequency Regulation in Power Systems,” IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 3414-3423, 2016, https://doi.org/10.1109/TPWRS.2015.2490342.
[22] K. Strunz, K. Almunem, C. Wulkow, M. Kuschke, M. Valescudero and X. Guillaud, “Enabling 100% Renewable Power Systems Through Power Electronic Grid-Forming Converter and Control: System Integration for Security, Stability, and Application to Europe,” Proceedings of the IEEE, vol. 111, no. 7, pp. 891-915, 2023, https://doi.org/10.1109/JPROC.2022.3193374.
[23] M. Moafi, M. Marzband, M. Savaghebi, and J. M. Guerrero, “Energy management system based on fuzzy fractional order PID controller for transient stability improvement in microgrids with energy storage,” International Transactions Electrical Energy Systems, vol. 26, no. 10, pp. 2087-2106, 2016, https://doi.org/10.1002/etep.2186.
[24] T. Kerdphol, M. Watanabe, K. Hongesombut and Y. Mitani, “Self-Adaptive Virtual Inertia Control-Based Fuzzy Logic to Improve Frequency Stability of Microgrid With High Renewable Penetration,” IEEE Access, vol. 7, pp. 76071-76083, 2019, https://doi.org/10.1109/ACCESS.2019.2920886.
[25] J. Li, B. Wen and H. Wang, “Adaptive Virtual Inertia Control Strategy of VSG for Micro-Grid Based on Improved Bang-Bang Control Strategy,” IEEE Access, vol. 7, pp. 39509-39514, 2019, https://doi.org/10.1109/ACCESS.2019.2904943.
[26] M. R. Ghodsi, A. Tavakoli, and A. Samanfar, “Microgrid Stability Improvement Using a Deep Neural Network Controller Based VSG,” International Transactions Electrical Energy Systems, p. 7539173, 2022, https://doi.org/10.1155/2022/7539173.
[27] N. Mohamed, F. Aymen, Z. M. Ali, A. F. Zobaa, and S. H. E. Abdel Aleem, “Efficient power management strategy of electric vehicles based hybrid renewable energy,” Sustainability, vol. 13, no. 13, p. 7351, 2021, https://doi.org/10.3390/su13137351.
[28] X. Li, Y. J. Song, and S. Bin 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, https://doi.org/10.1016/j.jpowsour.2008.01.092.
[29] M. Mahmoudi, H. Jafari and R. Jafari, “Frequency control of Micro-Grid using state feedback with integral control,” 2015 20th Conference on Electrical Power Distribution Networks Conference (EPDC), pp. 1-6, 2015, https://doi.org/10.1109/EPDC.2015.7330464.
[30] J. Morren, S. W. H. de Haan, W. L. Kling and J. A. Ferreira, “Wind turbines emulating inertia and supporting primary frequency control,” IEEE Transactions on Power Systems, vol. 21, no. 1, pp. 433-434, 2006, https://doi.org/10.1109/TPWRS.2005.861956.
[31] R. Ahmadi, A. Sheikholeslami, A. Nabavi Niaki, and A. Ranjbar, “Dynamic participation of doubly fed induction generators in multi-control area load frequency control,” International Transactions Electrical Energy Systems, vol. 25, no. 7, pp. 1130-1147, 2015, https://doi.org/10.1002/etep.1891.
[32] R. Alayi, F. Zishan, M. Mohkam, S. Hoseinzadeh, S. Memon, and D. A. Garcia, “A sustainable energy distribution configuration for microgrids integrated to the national grid using back-to-back converters in a renewable power system,” Electronics, vol. 10, no. 15, p. 1826, 2021, https://doi.org/10.3390/electronics10151826.
[33] H. Li, X. Wang, and J. Xiao, “Differential evolution-based load frequency robust control for micro-grids with energy storage systems,” Energies, vol. 11, no. 7, p. 1686, 2018, https://doi.org/10.3390/en11071686.
[34] H. M. Hasanien, “Transient Stability Augmentation of a Wave Energy Conversion System Using a Water Cycle Algorithm-Based Multiobjective Optimal Control Strategy,” IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3411-3419, 2019, https://doi.org/10.1109/TII.2018.2871098.
[35] P. Purey and R. Arya, “Application of Jaya Algorithm for reactive power reserve optimization accounting constraints on voltage stability margin,” International Journal of Engineering Trends and Technology, vol. 51, no. 2, pp. 106-114, 2017, https://doi.org/10.14445/22315381/IJETT-V51P219.
[36] S. Vachirasricirikul and I. Ngamroo, “Robust controller design of heat pump and plug-in hybrid electric vehicle for frequency control in a smart microgrid based on specified-structure mixed H2/H∞ control technique,” Applied Energy, vol. 88, no. 11, pp. 3860-3868, 2011, https://doi.org/10.1016/j.apenergy.2011.04.055.
[37] R. Ali, T. H. Mohamed, Y. S. Qudaih, and Y. Mitani, “A new load frequency control approach in an isolated small power systems using coefficient diagram method,” International Journal of Electrical Power & Energy Systems, vol. 56, pp. 110-116, 2014, https://doi.org/10.1016/j.ijepes.2013.11.002.
[38] I. A. Khan, H. Mokhlis, N. N. Mansor, H. A. Illias, L. Jamilatul Awalin, and L. Wang, “New trends and future directions in load frequency control and flexible power system: A comprehensive review,” Alexandria Engineering Journal, vol. 71, pp. 263-308, 2023, https://doi.org/10.1016/j.aej.2023.03.040.
[39] G. I. Sayed, A. Darwish, and A. E. Hassanien, “A New Chaotic Whale Optimization Algorithm for Features Selection,” Journal of Classification, vol. 35, pp. 300-344, 2018, https://doi.org/10.1007/s00357-018-9261-2.
[40] C. Andic, S. Ozumcan, M. Varan, and A. Ozturk, “A Novel Sea Horse Optimizer Based Load Frequency Controller for Two-Area Power System with PV and Thermal Units,” International Journal of Robotics and Control Systems, vol. 4, no. 2, pp. 606-627, 2023, https://doi.org/10.31763/ijrcs.v4i2.1341.
[41] H. Nenavath and R. K. Jatoth, “Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking,” Applied Soft Computing, vol. 62, pp. 1019-1043, 2018, https://doi.org/10.1016/j.asoc.2017.09.039.
[42] Y. Wan, A. Ma, Y. Zhong, X. Hu and L. Zhang, “Multiobjective Hyperspectral Feature Selection Based on Discrete Sine Cosine Algorithm,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3601-3618, 2020, https://doi.org/10.1109/TGRS.2019.2958812.
[43] W. Long, T. Wu, X. Liang, and S. Xu, “Solving high-dimensional global optimization problems using an improved sine cosine algorithm,” Expert Systems with Applications, vol. 123, pp. 108-126, 2019, https://doi.org/10.1016/j.eswa.2018.11.032.
[44] W. Long, J. Jiao, X. Liang, S. Cai and M. Xu, “A Random Opposition-Based Learning Grey Wolf Optimizer,” IEEE Access, vol. 7, pp. 113810-113825, 2019, https://doi.org/10.1109/ACCESS.2019.2934994.
[45] T. H. Mohamed, H. Abubakr, M. A. M. Alamin and A. M. Hassan, “Modified WCA-Based Adaptive Control Approach Using Balloon Effect: Electrical Systems Applications,” IEEE Access, vol. 8, pp. 60877-60889, 2020, https://doi.org/10.1109/ACCESS.2020.2982510.
[46] M. I. A. E. Ali, A. A. Z. Diab and A. A. Hassan, “Adaptive Load Frequency Control Based on Dynamic Jaya Optimization Algorithm of Power System with Renewable Energy Integration,” 2019 21st International Middle East Power Systems Conference (MEPCON), pp. 202-206, 2019, https://doi.org/10.1109/MEPCON47431.2019.9007955.
[47] T. Hassan Mohamed and M. M. Hussein, “Online Gain Tuning of Conventional Load Frequency Controller for Microgrid Power System,” 2018 Twentieth International Middle East Power Systems Conference (MEPCON), pp. 424-428, 2018, https://doi.org/10.1109/MEPCON.2018.8635107.Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Ahmed Tawfik Hassan, Mohamed Metwally Mahmoud, Mohamed I. Mosaad, Asmaa Fawzy Rashwan, Mohamed Roshdi Mosa, Tarek Hassan Mohamed
![Creative Commons License](http://licensebuttons.net/l/by-sa/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
About the Journal | Journal Policies | Author | Information |
International Journal of Robotics and Control Systems
e-ISSN: 2775-2658
Website: https://pubs2.ascee.org/index.php/IJRCS
Email: ijrcs@ascee.org
Organized by: Association for Scientific Computing Electronics and Engineering (ASCEE), Peneliti Teknologi Teknik Indonesia, Department of Electrical Engineering, Universitas Ahmad Dahlan and Kuliah Teknik Elektro
Published by: Association for Scientific Computing Electronics and Engineering (ASCEE)
Office: Jalan Janti, Karangjambe 130B, Banguntapan, Bantul, Daerah Istimewa Yogyakarta, Indonesia