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کنترل مقاوم سیستم یکپارچه آبشیرینکن اسمز معکوس با منبع تغذیه فتوولتائیک | ||
| نشریه مهندسی مکانیک امیرکبیر | ||
| مقاله 5، دوره 54، شماره 3، خرداد 1401، صفحه 567-588 اصل مقاله (2.44 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/mej.2022.20100.7168 | ||
| نویسندگان | ||
| حسین درویشی نژاد؛ مصطفی نظری* ؛ محسن نظری؛ محمد محسن شاه مردان | ||
| دانشکده مهندسی مکانیک، دانشگاه صنعتی شاهرود، شاهرود، ایران. | ||
| چکیده | ||
| از میان روشهای نمکزدایی، استفاده از روش اسمز معکوس به دلیل مزایای آن بسیار گسترده شده است. یکی از چالشهای پیش رو در واحدهای نمکزدایی با استفاده از روش اسمز معکوس، وجود یک الگوریتم کنترلی جهت غلبه بر عدم قطعیتها و اغتشاشات وارده بر آن است. چالش دیگر چنین دستگاههایی تأمین انرژی آن میباشد. فشار وارده بر غشاء توسط یک پمپ فشارقوی تأمین میشود که انرژی مکانیکی این پمپ توسط یک موتور الکتریکی تأمین میشود. استفاده از انرژیهای تجدیدپذیر نه تنها اثرات زیستمحیطی ندارد، بلکه موجب تأمین انرژی پایدار چنین دستگاههایی میشود. در این مقاله، جهت پاسخ به این دو چالش، ابتدا مدل سیستم ترکیبی سیستم نمکزدایی اسمز معکوس به همراه سیستم خورشیدی فتوولتائیک مورد بررسی قرار میگیرد و برای هر بخش الگوریتم کنترلی مربوط به آن بخش طراحی و شبیهسازی میشود. برای ردیابی بیشینه توان در شرایط دمایی و تابشی مختلف در سیستم خورشیدی فتوولتائیک، از کنترلر فازی بهینهشده با الگوریتم بهینهسازی علفهای مهاجم استفاده شده است. برای کنترل موتور الکتریکی، الگوریتم فازی-پیآیدی طراحی شده است. برای کنترل سیستم اسمز معکوس از الگوریتم مود لغزشی فراپیچشی استفاده شده است. نتایج شبیهسازیها نشان میدهد که الگوریتم پیشنهادی برای سیستم ترکیبی اسمز معکوس فتوولتائیک، دارای عملکرد مناسبی در شرایط کاری مختلف است و قابلیت رفع و حذف اغتشاشات وارده بر سیستم را دارد. | ||
| کلیدواژهها | ||
| نمکزدایی؛ اسمز معکوس؛ کنترل مود لغزشی فراپیچشی؛ دستگاه خورشیدی فتوولتائیک؛ ردیابی بیشینه توان؛ کنترل فازی | ||
| عنوان مقاله [English] | ||
| Robust Control of Integrated Reverse Osmosis Desalination System with Photovoltaic Power Supply | ||
| نویسندگان [English] | ||
| Hosein Darvishnezhad؛ Mostafa Nazari؛ Mohsen Nazari؛ Mohammad Mohsen Shahmardan | ||
| Faculty of Mechanical and Mechatronics Engineering, Shahrood University of Technology, Shahrood, Iran. | ||
| چکیده [English] | ||
| Among desalination systems, the use of reverse osmosis has become very widespread due to its advantages. One of the challenges in desalination systems especially in the reverse osmosis method is the existence of a control algorithm to overcome the uncertainties and disturbances. Another challenge of such systems is their power supply. A high-pressure pump supplies the pressure behind the membrane in the reverse osmosis system. The use of renewable energy not only does not have any environmental effects but also provides sustainable energy for such systems. In this paper, to answer these two challenges, at first, the integrated model of the reverse osmosis desalination system with the solar photovoltaic system has been examined; then for each part, a control algorithm is designed and simulated. An optimized fuzzy controller has been designed to track the maximum power point at different temperatures and radiation conditions in the photovoltaic solar system. The fuzzy controller has been optimized with the invasive weed optimization algorithm. The electric motor has been controlled using a fuzzy proportional–integral–derivative algorithm. The super-twisting sliding mode control has been used for the reverse osmosis system. The simulation results show that the proposed algorithm for the combined reverse osmosis-photovoltaic system has a good performance in different operating conditions and can remove and eliminate disturbances on the system. | ||
| کلیدواژهها [English] | ||
| Desalination, Reverse osmosis, Super-twisting sliding mode control, Photovoltaic solar system, Maximum power point tracking, Fuzzy control | ||
| مراجع | ||
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[1] S. Sobana, R.C. Panda, Modeling and control of reverse osmosis desalination process using centralized and decentralized techniques, Desalination, 344 (2014) 243-251. [2] L.F. Greenlee, D.F. Lawler, B.D. Freeman, B. Marrot, P. Moulin, Reverse osmosis desalination: water sources, technology, and today's challenges, Water research, 43(9) (2009) 2317-2348. [3] M.A. Eltawil, Z. Zhengming, L. Yuan, A review of renewable energy technologies integrated with desalination systems, Renewable and sustainable energy reviews, 13(9) (2009) 2245-2262. [4] M. Alghoul, P. Poovanaesvaran, M. Mohammed, A. Fadhil, A. Muftah, M. Alkilani, K. Sopian, Design and experimental performance of brackish water reverse osmosis desalination unit powered by 2 kW photovoltaic system, Renewable Energy, 93 (2016) 101-114. [5] T. Zhao, R. Niu, M. Su, T. Anderson, Steady state and dynamic modeling of RO desalination modules and system using EES, in: 2011 IEEE International Conference on Robotics and Automation, IEEE, 2011, pp. 1-4. [6] Y.-Y. Lu, Y.-D. Hu, X.-L. Zhang, L.-Y. Wu, Q.-Z. Liu, Optimum design of reverse osmosis system under different feed concentration and product specification, Journal of membrane science, 287(2) (2007) 219-229. [7] H. Sharon, K. Reddy, A review of solar energy driven desalination technologies, Renewable and Sustainable Energy Reviews, 41 (2015) 1080-1118. [8] A.M. Bilton, L.C. Kelley, S. Dubowsky, Photovoltaic reverse osmosis—Feasibility and a pathway to develop technology, Desalination and Water Treatment, 31(1-3) (2011) 24-34. [9] I. Alatiqi, H. Ettouney, H. El-Dessouky, Process control in water desalination industry: an overview, Desalination, 126(1-3) (1999) 15-32. [10] I. Alatiqi, A. Ghabris, S. Ebrahim, System identification and control of reverse osmosis desalination, Desalination, 75 (1989) 119-140. [11] B.D.H. Phuc, S.-S. You, T.-W. Lim, H.-S. Kim, Dynamical analysis and control synthesis of RO desalination process against water hammering, Desalination, 402 (2017) 133-142. [12] C.W. McFall, A. Bartman, P.D. Christofides, Y. Cohen, Control and monitoring of a high recovery reverse osmosis desalination process, Industrial & Engineering Chemistry Research, 47(17) (2008) 6698-6710. [13] A.R. Bartman, P.D. Christofides, Y. Cohen, Nonlinear model-based control of an experimental reverse-osmosis water desalination system, Industrial & Engineering Chemistry Research, 48(13) (2009) 6126-6136. [14] M. Zebbar, Y. Messlem, A. Gouichiche, M. Tadjine, Super-twisting sliding mode control and robust loop shaping design of RO desalination process powered by PV generator, Desalination, 458 (2019) 122-135. [15] Z.-Y. Zhao, M. Tomizuka, S. Isaka, Fuzzy gain scheduling of PID controllers, IEEE transactions on systems, man, and cybernetics, 23(5) (1993) 1392-1398. [16] M. Arrouf, S. Ghabrour, Modelling and simulation of a pumping system fed by photovoltaic generator within the Matlab/Simulink programming environment, Desalination, 209(1-3) (2007) 23-30. [17] C.-E. Feraga, A. Bouldjedri, Perfomanse fotonaponskog sustava pumpanja pogonjenog jednofaznim indukcijskim motorom spojenim na fotonaponski generator, Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 57(1) (2016) 163-172. [18] D. Chan, J. Phillips, J. Phang, A comparative study of extraction methods for solar cell model parameters, Solid-State Electronics, 29(3) (1986) 329-337. [19] K. Rahrah, D. Rekioua, T. Rekioua, S. Bacha, Photovoltaic pumping system in Bejaia climate with battery storage, International journal of hydrogen energy, 40(39) (2015) 13665-13675. [20] M.G. Villalva, J.R. Gazoli, E. Ruppert Filho, Modeling and circuit-based simulation of photovoltaic arrays, in: 2009 Brazilian Power Electronics Conference, IEEE, 2009, pp. 1244-1254. [21] A. Pandey, N. Dasgupta, A.K. Mukerjee, High-performance algorithms for drift avoidance and fast tracking in solar MPPT system, IEEE Transactions on Energy conversion, 23(2) (2008) 681-689. [22] R. John, S.S. Mohammed, R. Zachariah, Variable step size Perturb and observe MPPT algorithm for standalone solar photovoltaic system, in: 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), IEEE, 2017, pp. 1-6. [23] J.P. Ram, T.S. Babu, N. Rajasekar, A comprehensive review on solar PV maximum power point tracking techniques, Renewable and Sustainable Energy Reviews, 67 (2017) 826-847. [24] C. Serir, D. Rekioua, N. Mezzai, S. Bacha, Supervisor control and optimization of multi-sources pumping system with battery storage, International Journal of Hydrogen Energy, 41(45) (2016) 20974-20986. [25] M. Ouada, M.S. Meridjet, M.S. Saoud, N. Derradji, Study of new configuration photovoltaic pumping system, in: 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), IEEE, 2014, pp. 1-5. [26] M.A. Abdullah, A.H.M. Yatim, C.W. Tan, R. Saidur, A review of maximum power point tracking algorithms for wind energy systems, Renewable and Sustainable Energy Reviews, 16(5) (2012) 3220-3227. [27] P. Vas, Sensorless vector and direct torque control, (1998). [28] S.G. Malla, C. Bhende, S. Mishra, Photovoltaic based water pumping system, in: 2011 International Conference on Energy, Automation and Signal, IEEE, 2011, pp. 1-4. [29] M.A. Vitorino, M.B. de Rossiter Corrêa, C.B. Jacobina, A.M.N. Lima, An effective induction motor control for photovoltaic pumping, IEEE Transactions on Industrial Electronics, 58(4) (2010) 1162-1170. [30] G. Abdelmadjid, B.S. Mohamed, T. Mohamed, S. Ahmed, M. Youcef, An improved stator winding fault tolerance architecture for vector control of induction motor: Theory and experiment, Electric power systems research, 104 (2013) 129-137. [31] A.R. Bartman, C.W. McFall, P.D. Christofides, Y. Cohen, Model-predictive control of feed flow reversal in a reverse osmosis desalination process, Journal of Process Control, 19(3) (2009) 433-442. [32] A.R. Bartman, A. Zhu, P.D. Christofides, Y. Cohen, Minimizing energy consumption in reverse osmosis membrane desalination using optimization-based control, Journal of Process Control, 20(10) (2010) 1261-1269. [33] W. Perruquetti, J.-P. Barbot, Sliding mode control in engineering, CRC press, 2002. [34] Y. Shtessel, C. Edwards, L. Fridman, A. Levant, Sliding mode control and observation, Springer, 2014. [35] M. Benbouzid, High-order sliding mode control of DFIG-based wind turbines, in: Wind turbine control and monitoring, Springer, 2014, pp. 23-48. [36] A.K. Pati, N. Sahoo, Adaptive super-twisting sliding mode control for a three-phase single-stage grid-connected differential boost inverter based photovoltaic system, ISA transactions, 69 (2017) 296-306. [37] S. Shahrokhian, R. Mohammadi, E. Asadian, One-step fabrication of electrochemically reduced graphene oxide/nickel oxide composite for binder-free supercapacitors, International Journal of Hydrogen Energy, 41(39) (2016) 17496-17505. [38] C. Lascu, F. Blaabjerg, Super-twisting sliding mode direct torque contol of induction machine drives, in: 2014 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, 2014, pp. 5116-5122. | ||
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