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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    BIO INSPIRED ALGORITHM BASED OPTIMAL DESIGN AND MAXIMUM ENERGY POINT TRACKING IN A GRID CONNECTED SC SYSTEM
    Dr.M.Sangeetha 1, Mr.G.Purushothaman 2 , R.Santhi 3, V.Ramesh 4, N.Nivas 5 , K.Vijayaprajesh 6 , M.Viji 7
    Journal of Data Acquisition and Processing, 2023, 38 (2): 2757-2768 . 

    Abstract

    By accurately tracking the maximum energy point (Max-PP), which depends on the board's temperature and the irradiance conditions, maximum energy point tracking (Max-PPT) techniques are utilized as part of SC (SC) designs to increase the SC panel's output energy. To enhance the Max-PPT technique under fractional shading conditions, this paper expands the yield of the SC collection. As part of our suggested approach, a novel technique dubbed the Judgement table (JT) strategy will be utilized to track the SC collection's maximum energy under partial shade conditions, and the extensible particle swarm optimisation (Ex-PSO) algorithm will be utilized to optimise the results. The suggested approach also manages the grid fault. The results show that Ex-PSO based Max-PPT can promote SC collection to achieve the global Max-PP and assist the SC panel in producing more reliable yield management than the standard JT method.

    Keyword

    Max-PPT; Grid connected SC system, partially shaded conditions; Ex-PSO; J Technique.


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