Optimal operating point tracking in a stand-alone PV system using particle swarm optimisation

2012 ◽  
Vol 3 (1) ◽  
pp. 24 ◽  
Author(s):  
Mohamed Azab
Keyword(s):  
Particle Swarm ◽  
Particle Swarm Optimisation ◽  
Operating Point ◽  
Pv System ◽  
Optimal Operating ◽  
Point Tracking

scholarly journals An efficient Mppt approach of PV systems: incremental conduction pathway

2019 ◽  
Vol 15 (3) ◽  
pp. 1189
Author(s):  
Murari Lal Azad ◽  
Pradip Kumar Sadhu ◽  
P Arvind ◽  
Anagh Gupta ◽  
Tuhin Bandyopadhyay ◽  
...  
Keyword(s):  
Integrated System ◽  
Maximum Power ◽  
Operating Point ◽  
Pv System ◽  
Optimal Operating ◽  
Pv Systems ◽  
Simulink Model ◽  
Pv Module ◽  
Conduction Pathway ◽  
Power Point

<p class="Abstract">Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.</p>

scholarly journals Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2035
Author(s):  
Wafa Hayder ◽  
Emanuele Ogliari ◽  
Alberto Dolara ◽  
Aycha Abid ◽  
Mouna Ben Hamed ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Control Method ◽  
Particle Swarm ◽  
Climatic Conditions ◽  
System Control ◽  
Pv System ◽  
Partial Shading ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Ipso Algorithm

This paper deals with the implementation and analysis of a new maximum power point tracking (MPPT) control method, which is tested under variable climatic conditions. This new MPPT strategy has been created for photovoltaic systems based on Particle Swarm Optimization (PSO). The novel Improved Particle Swarm Optimization (IPSO) algorithm is tested in several simulations which have been implemented in view of the various system responses such as: voltage, current, and power. The performances of the proposed IPSO algorithm have been completed and compared with results of well-established methods adopted in the literature showing a higher accuracy.

scholarly journals Single Phase Photovoltaic System with Maximum Power Point Tracking

2019 ◽  
Vol 8 (9) ◽  
pp. 479-483
Keyword(s):  
Electric Energy ◽  
Current Control ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Operating Point ◽  
Renewable Energy Resources ◽  
Pv System ◽  
Point Tracking ◽  
Power Point ◽  
Excess Power

Due to the increase in demand of electric energy, people are shifting towards renewable energy resources. Among the various renewable sources, solar power is growing at a faster rate due to its abundant availability. Solar panel characteristics show that the output power from the panel peaks only at one operating point. For extracting maximum power from the panel, tracking of the operating point has to be done continuously by a control algorithm. In this work, a solar system connected to the grid is considered, where there is a necessity of synchronizing the solar inverter with the grid apart from MPPT. Hysteresis current control is implemented in the inverter for synchronization and for tracking the maximum power, perturb and observe algorithm is applied. Grid connected PV systems are used in main cities by domestic and industrial consumers, where the excess power can be sold to the utility. Simulation of the grid connected PV system is done in Simulink and the results are presented.

scholarly journals Incremental conductance MPPT in grid connected PV system

2021 ◽  
Vol 13 (1) ◽  
pp. 138-145
Author(s):  
Praveen Kumar Mishra ◽  
Prabhakar Tiwari
Keyword(s):  
Photovoltaic System ◽  
Operating Point ◽  
Stable Operation ◽  
Solar Pv ◽  
Pv System ◽  
High Productivity ◽  
Point Tracking ◽  
Incremental Conductance ◽  
System Input ◽  
Power Point

PV (photovoltaic) system input is irradiation and ambient temperature. The solar radiation is varying in nature so efficiency is low of PV system. The various maximum power point tracking (MPPT) methods are used to enhance effectiveness of solar PV system. The  incremental conductance(IC) algorithm is one of the MPPT algorithms which is extensively employed because, at steady state it has high tracking correctness and high productivity at quickly varying atmospheric circumstances. In this proposed system a combination of IC algorithm and integral regulator (IR) is used to obtain MPPT in PV system. This combination gives high accuracy, stable operation in PV module entire region and it also eliminate oscillations near about the peak power operating point. A 100kw PV system is design in MATLAB software 2016a version. This PV system consist proposed IC-IR algorithm to obtain maximal power operating point.

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