News

 Statistics

Number of Journals34
Number of Issues1,306
Number of Articles9,428
Article View9,191,228
PDF Download5,622,140
Azizi-Monfared, H., Ghanbari Sabagh, M. (2022). Increasing the Resilience of Telecommunication Sites by Intelligent Control of the Optimized Solar Generators under Variable Temperature and Radiation Conditions. Electronic and Cyber Defense, 13(2), 101-112.
Hadi Azizi-Monfared; Mohamad Ghanbari Sabagh. "Increasing the Resilience of Telecommunication Sites by Intelligent Control of the Optimized Solar Generators under Variable Temperature and Radiation Conditions". Electronic and Cyber Defense, 13, 2, 2022, 101-112.
Azizi-Monfared, H., Ghanbari Sabagh, M. (2022). 'Increasing the Resilience of Telecommunication Sites by Intelligent Control of the Optimized Solar Generators under Variable Temperature and Radiation Conditions', Electronic and Cyber Defense, 13(2), pp. 101-112.
Azizi-Monfared, H., Ghanbari Sabagh, M. Increasing the Resilience of Telecommunication Sites by Intelligent Control of the Optimized Solar Generators under Variable Temperature and Radiation Conditions. Electronic and Cyber Defense, 2022; 13(2): 101-112.

Increasing the Resilience of Telecommunication Sites by Intelligent Control of the Optimized Solar Generators under Variable Temperature and Radiation Conditions

علوم و فناوریهای پدافند نوین
Article 4, Volume 13, Issue 2 - Serial Number 48, October 2022, Pages 101-112    PDF (2.02 M)
Document Type: Original Article
Authors
Hadi Azizi-Monfared* 1; Mohamad Ghanbari Sabagh2
1Doctoral Student of Islamic Azad University Khomein Central Branch of Iran
2Assistant Professor of Islamic Azad University, North Tehran Branch - Faculty of Engineering
Receive Date: 06 April 2022,  Revise Date: 01 August 2022,  Accept Date: 11 August 2022 
Abstract
Solar generators have many applications in the field of modern defense systems. An important and fundamental application of this type of generator is to provide sustainable energy for telecommunication sites as well as increase their resilience during various accidents and crises.  The use of optimal and controlled solar generators under variable environmental conditions in order to increase the resilience of telecommunication sites is one of the main objectives of this research. Therefore, under variable temperature and radiation conditions the maximum power point characteristic of the solar generator is tracked and controlled with the aim of increasing efficiency. In this research, the dynamic programming method (DPM) is used by combining the perturbation and observation (P&O) algorithm and the famous Newton-Raphson numerical algorithm. The analysis is performed by the dynamic programming method, based on the data obtained from the measurement under variable temperature and radiation conditions, and then an intelligent decision is made. The efficiency obtained in this article has been compared with the other research works and shown to be the highest. Quantities and parameters have been obtained through both MATLAB simulations and practical measurements, and presented in the form of figures and tables. The percentage of relative error in tracking the maximum power point characteristic of the solar generator is very small.
Keywords
Resilience of Telecommunication Sites; Intelligent Control of Solar Generator; Increasing Efficiency; Maximum Power Point Traking of Generator
References
  1. Gaga, A.; Errahimi, F.; Es-Sbai, N. “Design and Implementation of MPPT Solar System Based on the Enhanced P&O Algorithm Using Labview”; Int. Renewable and Sustainable Energy Conf. (IRSEC), 2014, 203-208.
  2. Al-Barazanchi, S. A. M.; Vural, A. M. “Modeling and Intelligent Control of a Stand-Alone PV-Wind-Diesel-Battery hybrid system”; Int. Conf. on Control, Instrumentation, Communication and Computational Tech. (ICCICCT), 2015, 423-430.
  3. Sheng, S.; Li, P.; Tsu, C.-T.; Lehman, B. “Optimal Power Flow Management in a Photovoltaic Nanogrid with Batteries”; IEEE Energy Conversion Congress and Exposition (ECCE), 2015, 4222-4228.
  4. Chetanakumar Hadimani, ; Raju, A. B.; Radha, R.; Jyoti, R. “Photovoltaic Based PMDC Motor  Drive System Using MPPT”; Second Int. Conf. on Cognitive Computing and Information Proc. (CCIP), 2016, 1-6.
  5. Anddoulssi, R.; Draou, A.; Jerbl, H.; Alghonamy, A.; Khlal, B. “Non Linear Control of a Photovoltaic Water Pumping System”; Energy Renewabe Procedia. 2013, 42, 13, 328-336.
  6. Choudhary, P.; Mahendra, S. N. “Feedback Control and Simulation of DC-DC Buk Converter for Solar Photovoltaic Array”; IEEE Uttar Pradesh Section Int. Conf. on Electrical, Computer and Electronics Eng. (UPCON), 2016, 591-596.
  7. Bálský, M.; Bayer, R. “Electrical and Heat Performance of Solar Concentrator with Tracking System”; Int. Scientific Conf. on Electric Power Eng. (EPE), 2016, 1-6.
  8. Magee, C. L.; Benson, C. L. “On Improvement Rates for Renewable Energy Technologies: Solar PV, Wind Turbines, Capacitors, and Batteries”; Renwable Energy, 2014, 68, 745-751. 
  9. Alegria,; Brown, T.; Minear, E.; Lasseter, R. “CERTS Microgrid Demonstration with Large-Scale Energy Storage and Renewable Generation”; IEEE Tans. on Smart Grid, 2013, 5, 937-943.
  10. Wandhare, R. G.; Agarwal, V. “Novel Stability Enhancing Control Strategy for Centralized PV-Grid Systems for Smart Grid Applications”; IEEE Trans. on Smart Grid, May 2014, 5, 1389-1396.
  11. Iovine, A.; Siad, S. B.; Damm, G.; De Santis, E.; Di Benedetto, M. D. “Nonlinear Control of a DC MicroGrid for the Integration of Photovoltaic Panels”; IEEE Trans. on Automation Sci. and Eng. April 2017, 14, 524-535.
  12. Banaei, M. R.; Alizadeh, R. “Simulation-Based Modeling and Power Management of All-Electric Ships Based on Renewable Energy Generation Using Model Predictive Control Strategy”; IEEE Intelligent Transportation Syst. Mag. Summer 2016, 8, 90-103.
  13. Piazza, M. C. Di; Luna, M.; Tona, G. L.; Piazza, A. D. “Improving Grid Integration of Hybrid PV-Storage Systems Through a Suitable Energy Management Strategy”; IEEE Trans. on Industry App. 2019, 55, 60-68.              
  14. Li, L.; Xiong, G.; Yuan, X.; Zhang, J.; Chen, J. “Parameter Extraction of Photovoltaic Models Using a Dynamic Self-Adaptive and Mutual- Comparison Teaching-Learning-Based Optimization”; IEEE Access, 2021, 9, 52425-52441.                                 
  15. Perez, F.; Iovine, A.; Damm, G.; Galai-Dol, L.; Ribeiro, F. “Stability Analysis of a DC MicroGrid for a Smart Railway Station Integrating Renewable Sources”; IEEE Trans. on Control Syst. Tech. Sept.  2020, 28, 1802-1816.
  16. Belkassmi, Y.; Rafiki, A.; Gueraoui, K.; Elmaimouni, ; Tata, O.; Hassanain,  N. “Modeling and Simulation of Photovoltaic Module Based on one Diode Model Using Matlab/Simulink”;  Int. Conf. on Eng. & MIS (ICEMIS),  2017, 1-6.
  17. Faber, J.; Raath, J.; Vermaak, H. “MPPT Photovoltaic Test Instrument with Data Logging Capabilities”; Pattern Recognition Association of South  Africa  and  Robotics and Mechatronics (PRASA-RobMech), 2017,  193-196.
  18. Nayan, M. F.; Ullah, S. M. S.; Saif, N. “Comparative Analysis of PV Module Efficiency for Different Types of Silicon Materials Considering  the Effects of  Environmental Parameters”; Int. Conf. on Electrical Eng.  and  Information  Communication Tech. (ICEEICT),  2016,  1-6.
  19. Sarquis Filho, E. A.; Costa, F. F.; Tahim, A. P. N.;Lima, A. C. d. C. “Photovoltaic Panel Simulation  Based on  Individual  Cell  Condition”;  IEEE  Energy  Conversion Congress and Exposition (ECCE), 2016, 1-7.
  20. Nayan, M. F.; Ullah, S. M. S. “Modelling of Solar Cell  Characteristics  Considering the  Effect of Eelectrical and Environmental  Parameters”;   Conf. on Green Energy and Tech. (ICGET), 2015, 1-6.
  21. Abbassi, A.; Dami, A. ; Jemli,  M. “Parameters Identification of  Photovoltaic Mmodules Based on Numerical  Approach  for  the  Single-Diode Model”; Int. Conf. on Green Energy Conversion Syst. (GECS),  2017, 1-7.
Statistics
Article View: 235
PDF Download: 192