Implementation of A New Maximum Power Point Tracking Algorithm for partially shaded PV Systems

Electricity generation from solar energy is gaining importance day by day. The solar panels used for this purpose are affected by environmental factors. Many maximum power point tracking techniques have been used in order to benefit from the solar panels in maximum efficiency. This paper presents a new maximum power extraction algorithm for a photovoltaic system under partial shading. The new algorithm has capability to reach global peak under nonuniform radiation conditions. The proposed technique is implemented using Matlab/Simulink to show effectiveness of symbiotic organisms search (SOS) based maximum power point tracking (MPPT). The results show that SOS-MPPT algorithm gives accurate and fast results in finding maximum power point of PV systems. Index Terms- Global peak (GP), Maximum power point tracking (MPPT), Partial shading (PS), Photovoltaic systems (PV), Symbiotic organisms search (SOS)

[1]  Lei Guo,et al.  A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition , 2018 .

[2]  N. Rajasekar,et al.  A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking , 2017, IEEE Transactions on Power Electronics.

[3]  Min-Yuan Cheng,et al.  Symbiotic Organisms Search: A new metaheuristic optimization algorithm , 2014 .

[4]  I.H. Altas,et al.  A Photovoltaic Array Simulation Model for Matlab-Simulink GUI Environment , 2007, 2007 International Conference on Clean Electrical Power.

[5]  Bidyadhar Subudhi,et al.  A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System , 2017, IEEE Transactions on Energy Conversion.

[6]  Douglas L. Maskell,et al.  A uniform implementation scheme for evolutionary optimization algorithms and the experimental implementation of an ACO based MPPT for PV systems under partial shading , 2014, 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG).

[7]  Sishaj P. Simon,et al.  Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony , 2015, IEEE Transactions on Sustainable Energy.

[8]  J. Sapp.  Evolution by association : a history of symbiosis , 1994 .

[9]  Ahmed A. Zaki Diab,et al.  Partial shading mitigation of PV systems via different meta-heuristic techniques , 2019, Renewable Energy.

[11]  Chakkarapani Manickam,et al.  Fireworks Enriched P&O Algorithm for GMPPT and Detection of Partial Shading in PV Systems , 2017, IEEE Transactions on Power Electronics.

[12]  Cherukuri Santhan Kumar,et al.  A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm , 2016 .

[13]  Jubaer Ahmed,et al.  A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability , 2014 .

[14]  Murat Ünlü.  Fotovoltaik sistemler için parçalı gölgelenme durumlarında maksimum güç noktası izleyebilen şebeke bağlantılı yeni bir evirici tasarımı ve uygulaması , 2015 .

[15]  Bhim Singh,et al.  Maximum Power Peak Detection of Partially Shaded PV Panel by Using Intelligent Monkey King Evolution Algorithm , 2017, IEEE Transactions on Industry Applications.