T
Thanikanti Sudhakar Babu
Researcher at Chaitanya Bharathi Institute of Technology
Publications - 49
Citations - 1842
Thanikanti Sudhakar Babu is an academic researcher from Chaitanya Bharathi Institute of Technology. The author has contributed to research in topics: Photovoltaic system & Maximum power principle. The author has an hindex of 14, co-authored 46 publications receiving 583 citations. Previous affiliations of Thanikanti Sudhakar Babu include VIT University & University of Johannesburg.
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Journal ArticleDOI
Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions
Thanikanti Sudhakar Babu,J. Prasanth Ram,Tomislav Dragicevic,Masafumi Miyatake,Frede Blaabjerg,N. Rajasekar +5 more
TL;DR: In this paper, an alternative to physical relocation based on particle swarm optimization (PSO) connected modules is proposed, where the physical location of the modules remains unchanged, while its electrical connections are altered.
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Empowering smart grid: A comprehensive review of energy storage technology and application with renewable energy integration
Kang Miao Tan,Thanikanti Sudhakar Babu,Vigna K. Ramachandaramurthy,Padmanathan Kasinathan,Sunil G. Solanki,Shangari K. Raveendran +5 more
TL;DR: The future scope suggests that researchers shall develop innovative energy storage systems to face challenges in power system networks, to maintain reliability and power quality, as well as to meet the energy demand.
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A Comprehensive Review of Hybrid Energy Storage Systems: Converter Topologies, Control Strategies and Future Prospects
Thanikanti Sudhakar Babu,Krishnakumar R. Vasudevan,Vigna K. Ramachandaramurthy,Suleiman Bala Sani,Sansubari Chemud,Rosli Mat Lajim +5 more
TL;DR: This article attempts to bring the numerous control strategies proposed in the literature at one place on various control techniques implemented for HESS including their features, limitations and real-time applications.
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A Robust Strategy Based on Marine Predators Algorithm for Large Scale Photovoltaic Array Reconfiguration to Mitigate the Partial Shading Effect on the Performance of PV System
TL;DR: The comprehensive comparisons endorse that MPA shows a successful shade dispersion; hence the number of multiple peaks in the PV characteristics has reduced, and high values of power have been harvested with least mean execution time in comparison with PSO, HHO and MRFO.
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A new metaphor-less algorithms for the photovoltaic cell parameter estimation
TL;DR: From the results, it can be judged that the proposed algorithms are more suitable for the estimation of three types of solar PV models effectively.