Abstract

Aging affects different photovoltaic (PV) modules in a PV array in a non-uniform way, thereby leading to non-uniform working conditions of the PV modules and resulting in variations in the power outputs of the PV array. In this paper, an algorithm is developed for optimising the electrical configuration of a PV array during the non-uniform aging processes amongst the PV modules. A new PV array reconfiguration method is proposed to maximize the power generation from non-uniformly aged PV arrays through rearrangements of the positions of the PV modules without having to replace the aged PV modules with new ones, thereby saving on maintenance costs. This reconfiguration strategy requires information about the electrical parameters of the PV modules in an array, so as to choose the optimal reconfiguration topology. In this algorithm, the PV modules are sorted iteratively in a hierarchy pattern to reduce the effect of mismatch due to the non-uniform aging processes amongst PV modules. Computer simulation and analysis have been carried out to evaluate the effectiveness of the proposed method for different sizes of non-uniform aged PV arrays (4 × 4, 10 × 10, and 100 × 10 arrays) with MATLAB. The results show an improvement in the power generation from a non-uniformly aged PV array and can be applied to any size of PV array.

Highlights

  • With increasing investment in photovoltaic (PV) power generation as a way of promoting green energy, there is a need to increase its energy efficiency and cost effectiveness, so as to make it competitive with other energy sources

  • We studied and analysed the non-uniform aging processes in the PV arrays, and

  • We studied and analysed the non-uniform aging processes in the PV arrays, and we found that the locations of aged PV modules in the PV arrays influence the power generation of we found that the locations of aged PV modules in the PV arrays influence the power generation of the solar PV arrays

Read more

Summary

A Reconfiguration Method for Extracting Maximum

Electrical Engineering and Electronics Department, University of Liverpool, Liverpool L69 3BX, UK;. Received: 29 August 2018; Accepted: 23 September 2018; Published: 13 October 2018

Introduction
Model of Good Quality PV Cells
The technical specifications of the Solarex MSX60
Mismatch Analysis Due to Non-Uniform Aging
Mismatch Analysis Due to Non-Uniform Aging m
1: Obtain the summation of AFs for each
6: Repeat step 5 until the
Simulation Results
Case 2
Case 3
Discussions
Conclusions
12 September
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call