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Udoskonalanie elektrowni fotowoltaicznej w oparciu o algorytm optymalizacji przyrostowej
Języki publikacji
Abstrakty
Photovoltaic systems are impacted by the quantity and temperature of sunshine. Due to the competing nature of solar radiation, PV systems operate inefficiently. A variety of maximum power point tracker (MPPT) approaches are utilized to increase the solar system's influence. Incremental optimization (IO), one of the more established MPPT algorithms, provides great steady-state productivity and tracking accuracy over a broad range of shifting atmospheric conditions. Characterizing solar PV features at various irradiances using Matlab or Simulink. The simulation's findings seemed to agree with the different planned PV module efficiencies. In conclusion, it has been found that this optimization technique enhances the PV system's tracking efficiency and response time, leading to dependable grid operation.
Na systemy fotowoltaiczne ma wpływ ilość i temperatura nasłonecznienia. Ze względu na konkurencyjny charakter promieniowania słonecznego systemy fotowoltaiczne działają nieefektywnie. W celu zwiększenia wpływu Układu Słonecznego stosuje się różne podejścia do śledzenia punktu maksymalnej mocy (MPPT). Optymalizacja przyrostowa (IO), jeden z bardziej uznanych algorytmów MPPT, zapewnia doskonałą produktywność w stanie ustalonym i dokładność śledzenia w szerokim zakresie zmieniających się warunków atmosferycznych. Charakteryzowanie właściwości fotowoltaiki słonecznej przy różnym natężeniu promieniowania przy użyciu Matlaba lub Simulinka. Wyniki symulacji wydawały się zgadzać z różnymi planowanymi wydajnościami modułów fotowoltaicznych. Podsumowując, stwierdzono, że ta technika optymalizacji poprawia wydajność śledzenia systemu fotowoltaicznego i czas reakcji, prowadząc do niezawodnego działania sieci.
Wydawca
Czasopismo
Rocznik
Tom
Strony
182--184
Opis fizyczny
Bibliogr. 18 poz., rys.,tab.
Twórcy
autor
- Northern Technical University (NTU)-Technical College of Engineering, Mosul-Iraq
autor
- Northern Technical University (NTU)-Technical College of Engineering, Mosul-Iraq
autor
- Northern Technical University (NTU)-Technical College of Engineering, Mosul-Iraq
Bibliografia
- [1] Ramesh K., Gianosh R., Lakshmi S., Suganya S., “An enhanced incremental conductance algorithm for photovoltaic system”, Electronics, Vol. 22, No. 1, June, 2018.
- [2] Safwan A. Hamoodi, Ibrahim I. Sheet, Rasha A. Mohammed, A Comparison between PID controller and ANN controller for speed control of DC Motor, 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering ICECCPCE19, 13-14 February, 2019 | Mosul, Iraq.
- [3] Aissa Ch., et al, Modeling and Simulation of a Grid Connected PV System Based on the Evaluation of Main PV Module Parameters. Simulation Modeling Practice and Theory 20.1: 46-58, 2012.
- [4] Naki Güler and Erdal Irmak, MPPT Based on Model Predicative Control of Grid Connected Inverter for PV System. ICRERA, vol.8, no.3, pp.1-6, 2019
- [5] Safwan A. Hamoodi, Rasha A. Mohammed, Bashar M. Salih, DC Motor Speed Control Using PID Controller Implementation by Simulink and Practical, International Journal of Electrical Engineering. ISSN 0974-2158 Volume 11, Number 1 (2018), pp. 39-49 © International Research Publication House http://www.irphouse.com
- [6] Ali M., Alatza Y., Abdul-Aziz, Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. Springer, 2019.
- [7] Safwan A. Hamoodi, Ahmeed A. Al-Karakchi, Ali N. Hamoodi, “Studying Performance Evaluation of Hybrid E-bike Using Solar Photovoltaic System”, Bulletin of Electrical Engineering and Informatics, Vol. 11, No.1, pp. 59-67, 2019.
- [8] Yi-Hwa Liu, Shyh-Ching Haung, Jia-Wei Huang, Wen-Cheng Liang,. A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions. IEEE Transactions on Energy Conversion. Vol. 27, No. 4, pp. 1027-1035, 2012.
- [9] Rasha A., Safwan A., Ali N., Comparison between two calculation methods for designing a stand-alone PV system according to Mosul city basemap, Open Engineering, 5 (2021), No. 11, 782–789.
- [10] Lijun TG, Dougal RA, Shengyi L, Iotova AP, “Parallel-connected solar PV system to address partial and rapidly fluctuating shadow conditions. IEEE Transactions on Industrial Electronics. 56 (5): 1548–56, 2009.
- [11] Gurraoui R., Benhamed M., Sbita L, “Comparison of MPPT algorithms for DC-DC boost converters based PV systems using robust control technique and artificial intelligence algorithm.” Proceedings of 12th International Multi-Conference on Systems, Signals & Device; Tunisia. pp.1-6, 2015.
- [12] L. Amet, M. Ghanes, and J.-P. Barbot, “Super Twisting based step-by-step observer for a DC series motor: experimental results,” in Proceedings of the IEEE International Conference on Control Applications (CCA) Part of 2013 IEEE Multi-Conference on Systems and Control, Saint Petersburg, Russia, 2013.
- [13] Safwan A., Ali N, Farah I., Armature Control of a DC Motor Based on Programmable Logic Controller, PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 98 NR 5/2022, doi:10.15199/48.2022.05.20.
- [14] Praveen Kumar Mishra, Prabhakar Tiwari, Incremental conductance MPPT in grid connected PV system, International Journal of Engineering, Science and Technology, Vol. 13, No. 1, pp. 138-145, 2021.
- [15] Shinde Krishnat Arvind, Tarate Akshay Arun, Taur Sandip Madhukar, Jayashree Deka: Speed Control of DC Motor using PIC 16F877A Microcontroller, Multidisciplinary Journal of Research in Engineering and Technology, Vol. 2, Pg. 223-234.
- [16] Md. Selim Reza, Md. Abdullah Al Mamun, “Design and Development of LabVIEW Based DC Motor Speed and Direction Control System”, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, 4(2015), No. 5, 133-141.
- [17] Pratap V., Neelam P., Chandrakant K. “Real Time DC Motor Speed Control using PID Controller in LabVIEW”, 3(2014), No. 9, 76-83.
- [18] Safwan A., Ahmeed A., Ali N. Studying Performance Evaluation of Hybrid E-bike Using Solar Photovoltaic System,” Bulletin of Electrical Engineering and Informatics, 11(2022), No.1, 59-67
Typ dokumentu
Bibliografia
Identyfikator YADDA
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