Online monitoring of power extraction efficiency for minimizing payback period of solar PV system

Author(s):  
Abhinav Arya ◽  
Md. Waseem Ahmad ◽  
Sandeep Anand

This paper presents a thorough audit on various techniques of Photovoltaic (PV) framework under Partial Shading Conditions (PSC) which improves the yield voltage and power. Various productions report on PV with respect to control upgrades and its execution. In any case, perplexity emerges while choosing an approach that performs under every climatic circumstance. In this way, a fundamental audit of PSC systems is considered, which depends on most extreme power point following (MPPT) at Standard Test Conditions (STC). These MPPT strategies can follow the Global Peak (GP) at PSC. Broad research has been investigated in this field and numerous systems have been accounted for. In this paper, a point by point portrayal and order on various procedures of PV at PSC have been made as far as control factors, structure and hardware utilized in down to earth and business applications. Incomplete Shading is a significant test in photovoltaic (PV) frameworks which influences the quality and amount of the output power. The ordinary change of condition and the diminished profitability of PV Array is a significant obstruction in the brisk advancement of the sunlight based power age. A Solar PV system involves PV cluster connected with an Inverter through a dc-dc converter and the yield of the Inverter is associated with the heap. In any case, expansion to PV modules, and exhibit design, control electronic converters are in like manner fundamental parts for a sun oriented based power generation. It is basic to fathom the effect of fractional concealing to make compelling and strong Photovoltaic vitality transformation structure. PV exhibit course of action, converter arrangement and MPPT control strategy are the three basic districts where the vitality extraction from PV bunch can be improved under incomplete concealed condition. A point by point assessment study is coordinated among central and Micro-Inverter based PV systems and particular MPPT control techniques were pondered and considered under fractional concealed condition using MATLAB/Simulink.


2021 ◽  
Vol 1 (2) ◽  
Author(s):  
VIMALA C ◽  
VARSHINI G

Controlling the single-phase PV system improves system performance, safety, reliability, and controllability while interacting with the energy grid. The primary goal of this research is to create an Artificial Neural Network (ANN) vector control method for a single-phase solar inverter. The ANN controller is trained using approximation dynamic programming to obtain optimum control. To evaluate an ANN-based solar PV system, models of PV system behaviour for grid integration and maximum power extraction from solar PV arrays in a genuine residential PV application, as well as the development of an experimental solar PV system, are employed. The findings show that an ANN-controlled PV system outperforms a typical vector-controlled PV system in terms of performance.


Author(s):  
K Latha Shenoy ◽  
C. Gurudas Nayak ◽  
Rajashekar P. Mandi

As conventional fossil fuel reserves shrink and the danger of climate change prevailing, the need for alternative energy sources is unparalleled. A smart approach to compensate the dependence on electricity generated by burning fossil fuels is through the power generation using grid connected PV system. Partial shading on PV array affects the quantity of the output power in photovoltaic (PV) systems. To extract maximum power from PV under variable irradiance, variable temperature and partial shading condition, various MPPT algorithms are used. Incremental conductance and fuzzy based MPPT techniques are used for maximum power extraction from PV array. Basically 11 kW Solar PV system comprising of PV array coupled with an Inverter through a dc-dc converter is considered for the analysis and output of the inverter is supplied to the load through the LCL filter. An Intelligent controller for maximum power point tracking of PV power is designed. Also, a fuzzy controller for VSC is developed to improve the system performance. The above proposed design has been simulated in the MATLAB/Simulink and analyzed the system performance under various operating conditions. Finally, the performance is evaluated with IEEE 1547 standard for showing the effectiveness of the system.


2021 ◽  
Vol 2120 (1) ◽  
pp. 012035
Author(s):  
Y Krishna ◽  
M F Fauzan ◽  
N B Muhammad Nurhisham Gan

Abstract Solar photovoltaic (PV) system is proven to be a future-proof type of power generation for growing economies. There are almost zero pollutants released, low maintenance cost with high reliability as the lifespan of a solar PV stretches up to 30 years, a well-sought alternative form of sustainable energy. Moreover, the electricity consumption in Taylor’s University (TU), Malaysia is very high, as a consequence, a huge fraction of the fund is used to settle an RM450,000 electricity bill on average annually. In this paper, the study focused on how to reduce electricity consumption in TU by proposing a design of a comprehensive solar PV system. PVSYST and Sketchup software are used to design and analyze the PV system. In the present study, a Grid-Connected Photovoltaic (GCPV) mounted on the available roof space of TU is investigated. Also, a detailed economic analysis that includes the payback period and annual savings achieved through the proposed PV installation is analyzed. Annual savings of RM 267,621.00 can be made upon utilizing the proposed idea. Besides that, TU would be able to recover the initial investment cost in approximately 8 years of payback period, proving that the implementation of a 433kWp of solar PV unit is a smart option to address the sustainable energy goals.


2019 ◽  
Author(s):  
Rishal Asri

Sunlight is energy that can be converted into electrical energy. One of the uses is by applying it to the roof ofthe building. The application in this building has restrictions such as the placement of the PV moduleshorizontally and vertically. In the study comparing the results of energy obtained from the PV system withhorizontal and vertical positions with a standard degree angle in the direction of azimuth sunlight. Positionusing the horizontal produces more energy and reaches a performance ratio of more than 80%.


Sign in / Sign up

Export Citation Format

Share Document