Synchronization of Solar PV Array-BES Microgrid to AC Grid for Buildings Application

Author(s):  
Ankit Kumar ◽  
Vivek Narayanan ◽  
Bhim Singh
Keyword(s):  
Solar Pv ◽  
2021 ◽  
pp. 1-10
Author(s):  
Imran Pervez ◽  
Adil Sarwar ◽  
Afroz Alam ◽  
Mohammad ◽  
Ripon K. Chakrabortty ◽  
...  

Due to its clean and abundant availability, solar energy is popular as a source from which to generate electricity. Solar photovoltaic (PV) technology converts sunlight incident on the solar PV panel or array directly into non-linear DC electricity. However, the non-linear nature of the solar panels’ power needs to be tracked for its efficient utilization. The problem of non-linearity becomes more prominent when the solar PV array is shaded, even leading to high power losses and concentrated heating in some areas (hotspot condition) of the PV array. Bypass diodes used to eliminate the shading effect cause multiple peaks of power on the power versus voltage (P-V) curve and make the tracking problem quite complex. Conventional algorithms to track the optimal power point cannot search the complete P-V curve and often become trapped in local optima. More recently, metaheuristic algorithms have been employed for maximum power point tracking. Being stochastic, these algorithms explore the complete search area, thereby eliminating any chance of becoming trapped stuck in local optima. This paper proposes a hybridized version of two metaheuristic algorithms, Radial Movement Optimization and teaching-learning based optimization (RMOTLBO). The algorithm has been discussed in detail and applied to multiple shading patterns in a solar PV generation system. It successfully tracks the maximum power point (MPP) in a lesser amount of time and lesser fluctuations.


Author(s):  
Kamal Singh ◽  
Aniket Anand ◽  
Anjanee Kumar Mishra ◽  
Bhim Singh ◽  
Kuldeep Sahay
Keyword(s):  
Solar Pv ◽  

This paper shows the real implementation of fuzzy logic controller in an AC drive system (Induction motor Drive) under Solar PV array-based system. The switching of boost converter is controlled with help of fuzzy logic by taking inputs from solar PV array while For Inverter switching is done by using fuzzy logic controller by taking inputs from induction motor drive. Initially, 20 kW solar PV array is designed for feeding the 10Kw Induction motor drive with the help MATLAB/SIMULINK. The complete system gives reliable, smooth, efficient, lesser harmonic content level in the output.


2021 ◽  
pp. 1-33
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta

Abstract Individual performance of photovoltaic (PV) modules is contravened by mismatch losses which results in blockage in most of the solar power generated by the PV array (PVA). Partial shading conditions (PSCs) are the main causes of these losses. Several techniques have been discussed to reduce the issues caused by PSCs. Reconfiguration techniques have been proven to be one of the most successful methods that help towards this cause. In this method, the location of PV module (PVM) in the PVA is reconfigured so that the shading effects get distributed throughout the entire array and, hence, maximizing the power output. Two novel reconfiguration patterns such as canonical SuDoKu (CS) and multi diagonal SuDoKu (MDS) for total cross tied (TCT) configuration have been put forth in this manuscript. This approach aims to rearrange the PVMs in the TCT array as per the fed in patterns without causing a change in the internal electrical connections. Further parts of the manuscript focus on the comparison of the proposed pattern's performance with other pre-existing PVA arrangements such as, TCT, SuDoKu, optimal SuDoKu (OS) and modified SuDoku (MS) by taking into account the effects of global maximum power (GMP) point, mismatch power loss, fill factor and performance ratio. The results obtained from the detailed analysis presented in this paper gives proper evidence that, in many cases, the GMP is amplified in the CS and, in all cases, GMP is amplified in the proposed MDS PVA under different shading conditions.


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