scholarly journals Immunity of photovoltaic installation on electromagnetic surge disturbances

2019 ◽  
Vol 28 ◽  
pp. 01034
Author(s):  
Dorota Bugała ◽  
Artur Bugała ◽  
Damian Janczak

The work analyzes the correctness of the functioning of the photovoltaic system with a rated electrical power of 3500 W, consisting of 14 photovoltaic modules and a power electronic converter in the form of a single phase voltage inverter equipped with a maximum power point tracking system, disturbed by voltage stroke. The voltage surge with the parameters 1.2/50 µs, simulating a lightning discharge, was introduced into the system from the power grid side. For the purpose of computer simulation performed in Matlab/Simulink, the recommendations included in the PN-EN 61000-4-5 standard "Immunity of the surge disturbances" were used. Significant changes in the voltage and current on the AC side, related to the system of energy return to the power grid were shown.

2018 ◽  
Vol 17 (1) ◽  
pp. 57
Author(s):  
S Udhayakumar ◽  
R A Sindhu ◽  
R Srivasthan ◽  
Y Yogaraj

The harvesting of solar energy is gaining increasing attention as it is pollution free and is available in abundance. Various researches and experiments are being carried out to improve the efficiency of power conversion by altering the material of the photovoltaic panels, by incorporating tracking systems and by making use of Maximum Power Point Tracking (MPPT) algorithms. The conventional rigidly fixed solar panels limit their area of exposure to the sun during the entire day. The use of tracker increases the area of panel exposed to direct beam of the sun, thus increasing the power generated. MPPT algorithm tracks the maximum power point attained at all loads and extracts the power from the panel at that voltage. Despite the variations in the external environment, the power obtained from the panel is always maximum. This paper reviews various tracking methods and MPPT techniques to increase the energy harvesting capacity of the panel and in turn improve its efficiency.


2019 ◽  
Vol 12 (1) ◽  
pp. 34-43
Author(s):  
Parween R.Kareem

Due to the urgent need to make maximum use of electrical power generated from the Photo-Voltaic System (PVS) solar panels, several techniques have been developed for this purpose. Maximum Power Point Tracking (MPPT) algorithm raises the efficiency of PVS’s. Simulation of the complete (PVS) possesses the ability of MPPT is present in this paper. The approved PVS consists of a PV array, DC-DC Boost Converter and MPPT algorithm using Incremental Conductance Method (INC). All parts of the system were simulated programmatically using MATLAB. The obtained Results showed the efficiency of the algorithm used to extract the maximum power regardless of changes in solar radiation and cell’s temperature


This is dual axis tracking system, the path of the sun is been tracked by the system is been determined in this procedure. The optimization goal is to increase the amount of generation energy with the help photovoltaic system considering the tracking system consumption. Determination of the tilt angle and azimuth angle trajectories is described as a nonlinear and bounded optimization problem, in future there will be drastic amount of shortage of non-renewable energy resources, we have to replace these resources ,For collection of solar energy we need to improve of efficiency we used sensors (LDR) for tracking of suns path to make sure that the panel should be placed in MPPT- (maximum power point tracking) to observe more efficiency to make sure that the panel should be placed in MPPT point.


2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi

The photovoltaic panel is characterized by a unique point called the maximum power point (MPP) where the panel produces its maximum power. However, this point is highly influenced by the weather conditions and the fluctuation of load which drop the efficiency of the photovoltaic system. Therefore, the insertion of the maximum power point tracking (MPPT) is compulsory to track the maximum power of the panel. The approach adopted in this paper is based on combining the strengths of two maximum power point tracking techniques. As a result, an efficient maximum power point tracking method is obtained. It leads to an accurate determination of the MPP during different situations of climatic conditions and load. To validate the effectiveness of the proposed MPPT method, it has been simulated in matlab/simulink under different conditions.


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