Comprehensive Review and Analysis on Applications and Advantages of Soft Computing Based Maximum Power Point Tracking in Solar PV Energy System
Main Article Content
For both production and daily living, electricity is essential. Power generation, power transmission, power conversion, and power consumption make up the four components of the power system. It is difficult to set up transmission and transmission systems for minimal power demands on isolated farms, forest farms, and islands. The past ten years have seen the discovery and publication of several methods for finding MPP. These technologies differ in many ways, including the types of sensors used, their complexity, price, speed of detection, accuracy in tracking changes in light and temperature, the materials required for the application or user data, etc. There are several methods, including P&O, ear networks, open or short-circle volumes, current probe, and fuzzy logic controllers. The majority of these techniques provide at least locally, however others, such open or short circular circuits, only provide an average MPP. This is not an issue because the V-P curve often has just one meaningful value. However, there will be more than one maximum in these curves if the PV curve is somewhat obscured. This research article provides a thorough analysis of the various renewable energy sources, as well as their maximum point tracking methodologies and comparison outcomes.
R. H. Lasseter, “Microgrids,” IEEE Power Engineering Society Winter Meeting. Conf. Proc., vol. 1, 2002, pp. 305–308.
Y. Jia, R. Shibata, N. Yamamura, and M. Ishida, “Characteristics of smoothed-power output topology of stand- alone renewable power system using edlc,” in 2006 37th IEEE Power Electron. Specialists Conf., June2006, pp. 1–7.
M. Hamzeh, A. Ghazanfari, Y. A. R. I. Mohamed, and Y. Karimi,“Modeling and design of an oscillatory current-sharing control strategy in dc microgrids,” IEEE Trans. Ind. Electron., vol. 62, no. 11, Nov 2015, pp. 6647–6657.
S.-T. Kim, S. Bae, Y. C. Kang, and J.-W. Park, “Energy management based on the photovoltaic hpcs with an energy storage device,” IEEE Trans. Ind. Electron, vol. 62,July 2015, pp. 4608–4617.
R. Dougal, S. Liu, and R. White, “Power and life extension of batteryultracapacitorhybrids,” IEEE Trans. Compon. Package. Technol., vol. 25,Mar 2002, no. 1, pp. 120–131.
S. K. Kollimalla, M. K. Mishra, and N. L. Narasamma, “Design and analysis of novel control strategy for battery and supercapacitor storage system,” IEEE Trans. Sustain. Energy, vol. 5, Oct. 2014, pp. 1137–1144.
U. Manandhar, N. R. Tummuru, S. K. Kollimalla, A. Ukil, G. H.Beng, and K. Chaudhari, “Validation of faster joint control strategy forbattery- and supercapacitor-based energy storage system,” IEEE Trans.Ind. Electron, vol. 65, April 2018, pp. 3286–3295.
S. K. Kollimalla, M. K. Mishra, A. Ukil, and H. B. Gooi, “Dc gridvoltage regulation using new hess control strategy,” IEEE Trans. Sustain.Energy, vol. 8, April 2017, pp. 772–781.
S. K. Kollimalla, A. Ukil, H. B. Gooi, U. Manandhar, and N. R.Tummuru, “Optimization of charge/discharge rates of a battery using atwo-stage rate-limit control,” IEEE Trans. Sustain. Energy, vol. 8, April 2017, pp. 516–529.
H. Zhou, T. Bhattacharya, D. Tran, T. S. T. Siew, and A. M. Khambadkone,“Composite energy storage system involving battery and ultracapacitorwith dynamic energy management in microgrid applications,”IEEE Trans. Power Electron., vol. 26, March 2011, pp. 923–930.
D. Bazargan, S. Filizadeh, and A. M. Gole, “Stability analysis ofconverter-connected battery energy storage systems in the grid,” IEEETrans. Sustain. Energy, vol. 5, Oct 2014, pp. 1204–1212.
A. A. Radwan and Y. A. R. I. Mohamed, “Assessment and mitigationof interaction dynamics in hybrid ac/dc distribution generation systems,”IEEE Trans. Smart Grid, vol. 3, Sept 2012, pp. 1382–1393.
D. Wang and F. Z. Peng, “Smart gateway grid: A dg-based residentialelectric power supply system,” IEEE Trans. Smart Grid, vol. 3, Dec 2019, pp. 2232–2239.
M. Sechilariu, B. Wang, and F. Locment, “Building-integrated photovoltaicsystem with energy storage and smart grid communication,” IEEETrans. Ind. Electron, vol. 60, April 2013, pp. 1607–1618.
Dr. Bharat Bhushan Jain, Shradha Agarwal and Gori Shankar, "Numerical Simulation of Fuzzy Logic Based Maximum Power Point Tracking System for Solar Photovoltaic System", International Journal of Advanced Science and Technology, Vol. 29, No. 4, pp. 9516 – 9525, 2020. ISSN: 2005-4238.
Chun Wei, Zhe Zhang, Wei Qiao & Liyan Qu 2016, ‘An Adaptive Network-Based Reinforcement Learning Method for MPPT Control of PMSG Wind Energy Conversion Systems,’ IEEE transactions on Power Electronics, vol. 31, no. 11, pp. 7837-7848.
Anjali, R.K Kaushik and D. Sharma, "Analyzing the Effect of Partial Shading on Performance of Grid Connected Solar PV System," 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 2018, pp. 1-4, doi: 10.1109/ICRAIE.2018.8710395.
Q. Xu, J. Xiao, P. Wang, X. Pan, and C. Wen, “A decentralizedcontrol strategy for autonomous transient power-sharing and state-of-chargerecovery in hybrid energy storage systems,” IEEE Trans. Sustain.Energy, vol. 8, Oct 2017, pp. 1443–1452.
K. Thirugnanam, S. K. Kerk, C. Yuen, N. Liu, and M. Zhang, “Energymanagement for renewable microgrid in reducing diesel generators usagewith multiple types of battery,” IEEE Trans. Ind. Electron., vol. 65, Aug 2018, pp. 6772–6786.
R.K Kaushik, O.P Mahela, P.K Bhatt, B. Khan, S.K Padmanaban and F. Blaabjerg "A Hybrid Algorithm for Recognition of Power Quality Disturbances," in IEEE Access, vol. 8, pp. 229184-229200, 2020, doi: 10.1109/ACCESS.2020.3046425.
Y. Liu, C. Yuen, N. U. Hassan, S. Huang, R. Yu, and S. Xie, “Electricitycost minimization for a microgrid with distributed energy resource underdifferent information availability,” IEEE Trans. Ind. Electron., vol. 62,April 2015, pp. 2571–2583.
D. K. Dheer, S. Doolla, and A. K. Rathore, “Small-signal modelling andstability analysis of a droop-based hybrid ac/dc microgrid,” in IECON2016 - 42nd Annual Conf. of the IEEE Ind. Electron. Society, Oct 2016,pp. 3775–3780.
Srikanth Kotra and Mahesh K. Mishra, “A supervisory power managementsystem for a hybrid microgrid with Hess,” IEEE Trans. Ind.Electron., vol. 64, May 2017, pp. 3640–3649.
R.K Kaushik, O.P Mahela, P.K Bhatt, B. Khan, A.R Garg, H.H Alhelou and P. Siano "Recognition of Islanding and Operational Events in Power System With Renewable Energy Penetration Using a Stockwell Transform-Based Method," in IEEE Systems Journal, doi: 10.1109/JSYST.2020.3020919.
K. Qin and P. N. Suganthan, “Self-adaptive differential evolutionalgorithm for numerical optimization,” in 2005 IEEE Congress on Evolutionary Computation, vol. 2, Sept 2005, pp. 1785–1791 Vol. 2.
Andrea Montecucco & Andrew R Knox 2015, ‘Maximum Power Point Tracking converter based on the open- circuit voltage method for thermoelectric generators,’ IEEE Transactions on Power Electronics, vol. 30, Aug. 2015, no. 2, pp. 828-839.
Bader N Alajmi, Khaled H Ahmed, Stephen J Finney & Barry W Williams, ‘A Maximum Power Point Tracking Technique for Partially shaded Photovoltaic Systems in Microgrids,’ IEEE Transactions on Industrial Electronics, vol. 60, Nov. 2013, pp. 1596-1606.
Bidyadhar Sududhi & Raseswari Pradhan, ‘A comparative study on maximum power point techniques for photovoltaic systems, IEEE Transactions on Sustainable Energy, Feb. 203 vol. 4, no. 1, pp. 89-98.
Chu, CC & Chen, CL, ‘Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach,’ Solar Energy, vol. 83, Jan. 2009, pp. 1370-1378.
R.K Kaushik, O.P Mahela, P.K Bhatt, "Hybrid Algorithm for Detection of Events and Power Quality Disturbances Associated with Distribution Network in the Presence of Wind Energy," 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2021, pp. 415- 420, doi: 10.1109/ICACITE51222.2021.9404665.
Jakeer Hussain & Mahesh K Mishra, ‘Adaptive Maximum Power Point Tracking Control Algorithm for Wind Energy Conversion Systems,’ IEEE Transactions on Energy Conversion, vol. 31, Dec. 2016, pp. 697-705.
Jin Woo Choi, Shin Young Heo & Mun Kyeom Kim, ‘Hybrid operation strategy of wind energy storage system for power grid frequency regulation,’ The institution of Engineering and Technology, vol. 10, March 2015, pp. 736-749.
Johnson, KE, Pao, LY, Balas, MJ & Fingers, LJ, ‘Control of variable speed wind turbines: standard and adaptive techniques for maximizing energy capture,’ vol. 26, Feb. 2006, pp. 70-81.
Lee, CY, Shen, YX, Cheng, JC, Chang, CW & Li, YY, ‘Optimization method based MPPT for wind power generators, Proceedings world Acad. Sci., Eng. Technol.,2009, pp. v169-172.