MF_CSA AI based Controlling Technique for Single Phase Converter Output Enhancement at Different Loading Conditions
DOI:
https://doi.org/10.24113/ijoscience.v7i4.377Keywords:
DC, AC, CSA, SPS.Abstract
Renewable and sustainable sources such as SPV systems and WT energy conversion systems are now seen as a promising and growing alternative energy source in view of global emissions and deterioration of the FP. the main objective of the study designing of a solar PV system with varying irradiation in MATLAB/SIMULINK and enhance its output capacity before its integration with the grid. Also, the system has to be made to drive an unbalanced load and dynamic load so that it is capable of handling the change in the power demand of the system. And to design a suitable controller for the multilevel power converter such that it produces better output results than the traditional converter. AI technique has to be incorporated in the converter designing. This work provides a comprehensive design and implementation of power regulatory per phase inverter with proposed MF-CSA (Multi-Function Crow Search Algorithm) optimization controller. The Inverter has been provided with a proposed optimization technique while integrating it with the grid. The voltage output of the system from the modeled solar system with varying irradiation and temperature control is being fed to the inverter for DC to AC conversion
Downloads
References
Darshni M. Shukla, Naimish Zaveri “Performance of Three Level H-Bridge Inverter in Grid Connected Solar PV for Multifunctional Operations using Different Control Techniques” International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-9 Issue-4, February 2020.
S. Balasubramanyan and M. Sasirekha “Optimization Strategy for Reactive Power Compensation in Grid Connected PV Systems” Middle-East Journal of Scientific Research 24 (3): 892-897, 2016.
P M Ansho “A Novel Method for Reactive Power Management For Grid Connected Cascaded Photovoltaic Systems” International Journal of Advanced Research in Management, Architecture, Technology and Engineering (IJARMATE) Vol. 2, Special Issue 11, March 2016.
Kangan Wang, Xiaojie Wu “A Dynamic Power Distribution Strategy for Large-scale Cascaded Photovoltaic Systems” Journal of Power Electronics, Vol. 17, No. 5, pp. 1317-1326, September 2017.
Hee-Jun Kim “Special sample and hold techniques”, National Semiconductor, Application Report 294. Available: http://www.national.com/an/AN/AN294.pdf
Seyed mahmoudian, M.; Rahmani, R.; Mekhilef, S.; MaungThanOo, A.; Stojcevski, A.; Soon, TeyKok; Ghandhari, A. S. (2015-07-01). "Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method". IEEE Transactions on Sustainable Energy. 6 (3): 850–862. doi:10.1109/TSTE.2015.2413359. ISSN 1949-3029.
Sonali Surawdhaniwar, Diwan, Ritesh (July 2012). "Study of Maximum Power Point Tracking Using Perturb and Observe Method". International Journal of Advanced Research in Computer Engineering & Technology. 1 (5): 106–110.
S. Thirumaliah, A.P.Yadav and G. Harith. “Comparison of MPPT Algorithms for DC-DC Converters Based PV Systems” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 1, Issue 1, July 2012.
Y.-H.Chang and C.-Y. Chang, "A Maximum Power Point Tracking of PV System by Scaling Fuzzy Control," presented at International Multi Conference of Engineers and Computer Scientists, Hong Kong, 2010.
Zainuri, Pooja Singh, Radzi, M.A.M., Soh, A.C., et al.: ‘Development of adaptive perturb and observe-fuzzy control maximum power point tracking for photovoltaic boost dc–dc converter’, IET Renew. Power Gener., 2014, 8, (2), pp. 183–194.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Manisha Patel, Dr Malaya Saurava Das
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
