A Novel Experimental and Approach of Diagnosis, Partial Shading, and Fault Detection for Domestic Purposes Photovoltaic System Using Data Exchange of Adjacent Panels

H A Raeisi,S M Sadeghzadeh,Elias Stathatos

doi:10.1155/2021/9956433

Abstract

This paper presents a new detection method of fault and partial shading condition (PSC) in a photovoltaic (PV) domestic network, considering maximum power point tracking (MPPT). The MPPT has been executed by employing a boost converter using particle swarm optimization (PSO) technique. The system is composed of two photovoltaic arrays. Each PV array contains three panels connected in series, including distinct MPPT. The PSC detection exploits the neighboring PV system data. This suggested innovative algorithm is proficient in detecting these subjects: (a) fault, (b) partial shading condition, (c) solar panel (d) panel’s relevant bypass diode failure, (d) converter failure alongside specifying the failed semiconductor, and (e) PV disconnection failure. The simulation process has been implemented using MATLAB/Simulink software. To this end, the proposed method was investigated experimentally using two 250 W PV solar set under various PSCs and faults. A data exchange link is used to implement an integrated management system. The Zigbee protocol was also chosen to data exchange of converters. The results validated the applicability and practicality of this algorithm in domestic PV systems.

Highlights

Photovoltaic (PV) energy systems are considered as promising renewable energy production systems compared to other conventional energy sources such as natural gas, fossil fuels, and coal [1], and a large body of research exists on extracting maximum power from these systems
Simulation results indicated that the proposed method, FA, and particle swarm optimization (PSO) were capable of tracking GMPP under partial shading condition (PSC)
This study develops a novel approach for partial shading condition and fault detection based in adjacent panel information

Summary

Introduction

Photovoltaic (PV) energy systems are considered as promising renewable energy production systems compared to other conventional energy sources such as natural gas, fossil fuels, and coal [1], and a large body of research exists on extracting maximum power from these systems. MPPT is used to maximize power extraction from PV modules and feeds the power through a buck-boost converter that increases the voltage gain if required In their project, Gokilapriya and Banu (2014) conducted an in-depth analysis of the concept of DPSO algorithm under partial shading conditions which significantly increased the PV system efficiency [19]. DPSO and PSO methods along with P&O technique were presented for tracking MPP of a PV system This project showed that a DC/DC converter of the buckboost type was capable of tracking maximum power point of a PV panel at all times, regardless of cell temperature, solar radiation, and connected load. Simulation results indicated that the proposed method, FA, and PSO were capable of tracking GMPP under partial shading condition (PSC).

The Proposed Method

Data Exchange

C Diode failure

Implementation

Results

Conclusion