scholarly journals A Review of Conventional Fault Detection Techniques in Solar PV Systems and a Proposal of Long Range (LoRa) Wireless Sensor Network for Module Level Monitoring and Fault Diagnosis in Large Solar PV Farms

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Aruoriwoghene Okere ◽  
M. Tariq Iqbal
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Long Range ◽  
Research Work ◽  
Wireless Sensor ◽  
Solar Pv ◽  
Detection Techniques ◽  
Pv Systems ◽  
Pv Module ◽  
Level Monitoring

This paper reviews various faults that exist in large solar Photovoltaic (PV) systems. The faults are reviewed in their various classes based on the location and structure. Conventional solutions for fault detection and various research work in PV system monitoring and fault detection are reviewed. It is obvious that PV module level monitoring exhibit advantages over array or string monitoring. Therefore, the paper proposes the use of Long Range (LoRa) Wireless Sensor Networks (WSN) for PV module level monitoring and fault diagnosis. LoRa was proposed for this application due to the advantages it has over other wireless technologies which include long range of data transfer, low cost, low power consumption and multi sensor connection capabilities.

scholarly journals A Simple Mismatch Mitigating Partial Power Processing Converter for Solar PV Modules

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2308
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera
Keyword(s):  
Experimental Tests ◽  
Energy Yield ◽  
Power Electronic ◽  
Solar Pv ◽  
Partial Shading ◽  
Loss Analysis ◽  
Pv Systems ◽  
Pv Module ◽  
Pv Modules ◽  
In Series

Partial shading affects the energy harvested from photovoltaic (PV) modules, leading to a mismatch in PV systems and causing energy losses. For this purpose, differential power processing (DPP) converters are the emerging power electronic-based topologies used to address the mismatch issues. Normally, PV modules are connected in series and DPP converters are used to extract the power from these PV modules by only processing the fraction of power called mismatched power. In this work, a switched-capacitor-inductor (SCL)-based DPP converter is presented, which mitigates the non-ideal conditions in solar PV systems. A proposed SCL-based DPP technique utilizes a simple control strategy to extract the maximum power from the partially shaded PV modules by only processing a fraction of the power. Furthermore, an operational principle and loss analysis for the proposed converter is presented. The proposed topology is examined and compared with the traditional bypass diode technique through simulations and experimental tests. The efficiency of the proposed DPP is validated by the experiment and simulation. The results demonstrate the performance in terms of higher energy yield without bypassing the low-producing PV module by using a simple control. The results indicate that achieved efficiency is higher than 98% under severe mismatch (higher than 50%).

Material Based Fault Detection Methods for PV Systems

2020 ◽  
Vol 865 ◽  
pp. 111-115
Author(s):  
Khaled Osmani ◽  
Ahmad Haddad ◽  
Thierry Lemenand ◽  
Bruno Castanier ◽  
Mohamad Ramadan
Keyword(s):  
Fault Detection ◽  
Raw Materials ◽  
Raw Material ◽  
Detection Methods ◽  
Critical Aspect ◽  
Pv System ◽  
Detection Techniques ◽  
Pv Systems ◽  
Fault Type ◽  
Pv Cell

The overall efficiency of a PV system is strongly affected by the PV cell raw materials. Since a reliable renewable energy source is expected to produce maximum power with longest lifetime and minimum errors, a critical aspect to bear in mind is the occurrence of PV faults according to raw material types. The different failure scenarios occurring in PV system, decrease its output power, reduce its life expectancy and ban the system from meeting load demands, yielding to severe consecutive blackouts. This paper aims first to present different core materials types, material based fault occurring on the PV cell level and consequently the fault detection techniques corresponding to each fault type.

scholarly journals Research on SDG Fault Diagnosis of Ocean Shipping Boiler System Based on Fuzzy Granular Computing Under Data Fusion

2018 ◽  
Vol 25 (s2) ◽  
pp. 92-97 ◽  
Author(s):  
Ying Zhu ◽  
Liang Geng
Keyword(s):  
Graph Theory ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Granular Computing ◽  
Information Science ◽  
Research Work ◽  
Research Field ◽  
Fault Detection And Diagnosis ◽  
Ocean Shipping ◽  
Detection And Diagnosis

Abstract The research work in this paper belongs to the application of granular computing, graph theory and its application in fault detection and diagnosis. It is a cross cutting and frontier research field in computer science, information science and graph theory. The results of this paper are of great significance to the application of the fault detection and diagnosis of the ocean boilers system. This research combines granular computing theory and signed directed graph, and proposes a new method of fault diagnosis, and applies it to the fault diagnosis of ocean ship boiler system.

Modelling and Simulation of Solar PV Array Field Incorporated with Solar Irradiance and Temperature Variation to Estimate Output Power of Solar PV Field

2015 ◽  
Vol 3 (2) ◽  
pp. 251-257
Author(s):  
Vishwesh Kamble ◽  
Milind Marathe
Keyword(s):  
Temperature Variation ◽  
Output Power ◽  
Power Plants ◽  
Solar Pv ◽  
Pv Systems ◽  
Dc Power ◽  
Pv Module ◽  
Simulation Based ◽  
Pv Cell ◽  
The Mathematical Model

Photovoltaic systems are designed to feed either to grid or direct consumption. Due to global concerns, significant growth is being observed in Grid connected solar PV Plants. Since the PV module generates DC power, inverter is needed to interface it with grid. The power generated by a solar PV module depends on surrounding such as irradiance and temperature. This paper presents modelling of solar PV arrays connected to grid-connected plant incorporated with irradiance and temperature variation, to design simulator to study and analyse effect on output power of solar PV arrays with irradiance and temperature variation, also to estimate the output power generated by PV arrays. The mathematical model is designed implemented separately on simulator for each PV components connected in PV systems, which are PV cell, Module, sting, array and field of arrays. The results from simulation based on model are verified by the data collected from power plants and experiments done on solar PV cell.

An approach for fault detection and location in solar PV systems

Solar Energy ◽  
2019 ◽  
Vol 194 ◽  
pp. 197-208 ◽  
Author(s):  
Amit Dhoke ◽  
Rahul Sharma ◽  
Tapan Kumar Saha
Keyword(s):  
Fault Detection ◽  
Solar Pv ◽  
Pv Systems

Novel MPPT Schemes with Direct Duty Ratio Perturbation for Solar PV Systems

2012 ◽  
Vol 622-623 ◽  
pp. 1039-1047
Author(s):  
P. Venkata Sriram ◽  
Bhattacharya Swagnik
Keyword(s):  
Research Work ◽  
Standard Test ◽  
Duty Ratio ◽  
Solar Pv ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Direct Duty ◽  
Power Point

The Maximum Power Point Tracking (MPPT) is a very important function in a Solar Photovoltaic (SPV) system. While previous research has been focussed on optimizing the performance of the MPPT, there is further scope to improve upon the MPPT efficiency without compromising on the complexity of the MPPT technique in terms of the algorithm and hardware requirements. The research work presented in this paper aims to address this gap. The paper presents two novel MPPT schemes which are the proposed Perturb and Observe (P&O) and proposed Incremental Conductance (IC) methods based on two-step control and direct duty ratio perturbation. The proposed techniques are efficient, computationally less complex and hardware minimal than previous study in this field. For verification, simulation has been performed for extensive irradiation profiles of Standard Test Conditions (STC), rapidly changing and gradually changing insolation conditions which are representative of the boundary cases. Results of the proposed MPPT methods are compared with that of conventional MPPT methods. The results show that proposed MPPT schemes have excellent tracking efficiency and dynamic response with respect to previous research.

scholarly journals Power losses reduction of solar PV systems under partial shading conditions using re-allocation of PV module-fixed electrical connections

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Rupendra Kumar Pachauri ◽  
Isha Kansal ◽  
Thanikanti Sudhakar Babu ◽  
Hassan Haes Alhelou
Keyword(s):  
Solar Pv ◽  
Power Losses ◽  
Partial Shading ◽  
Pv Systems ◽  
Pv Module ◽  
Electrical Connections

scholarly journals Fault Diagnosis of Rotary Machine Using FFT (Fast Fourier Transformation) and Orbital Analyzer

2021 ◽  
Vol 9 (VII) ◽  
pp. 2673-2681
Author(s):  
Prabhakar Metri
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Fourier Transformation ◽  
Fast Fourier Transformation ◽  
Detection Techniques ◽  
Rotary Machine ◽  
Rotary Machines ◽  
Small Fault ◽  
Orbital Analysis

In different industries we use different machines and most of the machines are rotary machines. The small fault in machine cause vibrations in machines. These vibrations may cause effect on machine or product produced by machine. So, it is important to study these faults present in the machines. In this paper we are going to discuss fault detection techniques. We are discussing two technique FFT (Fast Fourier Transformation) and Orbital Analysis. In FFT we are getting graphs with respect to frequencies and according to peak frequencies we predict fault while in Orbital Analysis we are getting different orbital shape graph and according to shape we predict fault in machine.

scholarly journals Design and Fabrication of Low Cost Automatic Cleaning Module for Solar PV Systems

2019 ◽  
Vol 9 (2S2) ◽  
pp. 1112-1114
Keyword(s):  
Automatic System ◽  
Low Cost ◽  
The Sun ◽  
Solar Pv ◽  
Servo Motor ◽  
Pv Systems ◽  
Pv Module ◽  
Cleaning System ◽  
Pv Modules ◽  
Long Time

The Solar PV modules are usually engaged in dusty environments which are the condition in many tropical countries like India. The dirt gets hoarded on the superficial of the PV module and chunks the photons from the sun. It decreases the generation ability of the PV module. The power output decreases the efficiency, if the PV module is not cleaned for a long time. In order to habitually clean the dust, an automatic cleaning system has been proposed, which senses the light energy from the sun on the solar panel and also cleans the PV module automatically. This system is realized with PIC16F877A microcontroller which controls the geared servo motor. This system consists of a sensor (LDR) to make it dusk to dawn. While for cleaning the PV modules, a mechanism consists of a sliding wipers has been developed. In earlier machinery, cleaning of PV panels was done manually. But here the PV panels has been cleaned by automatic system i.e. wiping mechanism with water flow for effective cleaning

scholarly journals Review of Artificial Intelligence-Based Failure Detection and Diagnosis Methods for Solar Photovoltaic Systems

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 328
Author(s):  
Ahmad Abubakar ◽  
Carlos Frederico Meschini Almeida ◽  
Matheus Gemignani
Keyword(s):  
Artificial Intelligence ◽  
Fault Detection ◽  
Real Life ◽  
Failure Detection ◽  
Fault Detection And Diagnosis ◽  
Solar Pv ◽  
Pv Systems ◽  
Operation And Maintenance ◽  
Detection And Diagnosis

In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as an alternative to conventional fossil fuel generation has encouraged the search for efficient and more reliable operation and maintenance practices, since PV systems require constant maintenance for consistent generation efficiency. One option, explored recently, is artificial intelligence (AI) to replace conventional maintenance strategies. The growing importance of AI in various real-life applications, especially in solar PV applications, cannot be over-emphasized. This study presents an extensive review of AI-based methods for fault detection and diagnosis in PV systems. It explores various fault types that are common in PV systems and various AI-based fault detection and diagnosis techniques proposed in the literature. Of note, there are currently fewer literatures in this area of PV application as compared to the other areas. This is due to the fact that the topic has just recently been explored, as evident in the oldest paper we could obtain, which dates back to only about 15 years. Furthermore, the study outlines the role of AI in PV operation and maintenance, and the main contributions of the reviewed literatures.

Sign in / Sign up

Export Citation Format

Share Document