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Abstract: Solar photovoltaic (PV)-based stand-alone systems have evolved as a promising solution to the problem of electrification in areas where the grid is not available. The major challenges in designing such systems are as Extraction of maximum power from the PV array, Protection of the battery from overcharge and over discharge. A multiple objectives are required to be satisfied, the existing system for stand-alone systems require a minimum of three converter stages, leading to considerable reduction in the reliability and efficiency of the system. To solve this problem, a two-stage stand-alone scheme consisting of a novel transformer coupled dual-input converter (TCDIC) followed by a conventional full-bridge inverter is proposed in this paper. The proposed TCDIC can be realized maximum power point tracking and battery charge control while maintaining the proper voltage level at the load terminal. A suitable control strategy for the proposed TCDIC is devised. The operation of this system is verified by performing detailed simulation studies. A laboratory prototype of the system is developed. Detailed experimental validation of the scheme utilizing the laboratory prototype is carried out to confirm the viability of the scheme. Reformation of the electricity sector along with different renewable energy promotion policies has incremented importance of small grid-connected photovoltaic (PV) systems utilizing single-stage single-phase inverters.
Keywords:
Solar, two stage solar photo voltaic, matlab
Cite Article:
"Grid Connected Based Solar Photovoltaic with Battery as Energy Storage System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 9, page no.129 - 135, September-2017, Available :http://www.ijrti.org/papers/IJRTI1709021.pdf
Downloads:
000204825
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator