A PSO – I GWO Algorithm Based MPPT for PV System under Partial Shading Conditions

Author(s):  
K. Sudhakar and K. Peddakapu D J Krishna Kishore, M. R. Mohamed,

Solar photovoltaic (PV) is skyrocketing energy due to its advancement in technology. Nevertheless, PV energy face some difficulties under partial shading conditions (PSC) easily fall into local maxima instead of maximum peak power (MPP), oscillations around MPP when we used conventional algorithms. To avoid this problem a hybrid model of particle swarm optimization and improved grey wolf optimization (PSO – I GWO) based metaheuristic algorithm is used in this paper. It is developed and implemented in Matlab/ Simulink environment for different irradiation conditions. Moreover, the proposed algorithm is compared with another existing algorithm of cuckoo search optimization (CSO). Eventually, the hybrid model is superior to CSO in terms of convergence time, extracted power, and efficiency.

2020 ◽  
Vol 8 (5) ◽  
pp. 2658-2665

Power system has electrical energy as the vital part the energy can be acquired from the sustainable and nonsustainable sources like solar, wind, biomass, water, and coal, nuclear, oil, thermal respectively. In past the synchronization is the real issue because of the time utilization for the estimation of grid variables. In this work the solar based distributed generator is considered for the analysis. The grid connected photovoltaic framework, the grid can expend the energy from the photovoltaic panel and distribute the energy when the dark condition. The grid and PV framework can go about as a distributed energy sources. In this paper the grid associated PV system with the novel PR controllers are proposed to provide quick synchronization process and the hybrid swarm cuckoo search optimization algorithms (HSCS) is used to pick the best parameter to generate control pulses. The demonstration is done under the SIMULINK model. The performance PI,PID and Proportional Resonant (PR) controller with cuckoo search optimization algorithm are analyzed separately and found better solution for the problem stated.


2021 ◽  
Vol 176 ◽  
pp. 114884
Author(s):  
Himanshu Singh ◽  
Sethu Venkata Raghavendra Kommuri ◽  
Anil Kumar ◽  
Varun Bajaj

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 145469-145488
Author(s):  
Habeeb Bello-Salau ◽  
Adeiza James Onumanyi ◽  
Adnan M. Abu-Mahfouz ◽  
Achonu O. Adejo ◽  
Muhammed Bashir Mu'Azu

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