Real Time Monitoring and Remote Analysis of Grid Connected Solar Photovoltaic System

2019 ◽  
Author(s):  
S.T Suganthi ◽  
A Rini Ann Jerin ◽  
V Arangarajan ◽  
D Devaraj
Keyword(s):  
Real Time ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Real Time Monitoring ◽  
Solar Photovoltaic System ◽  
Remote Analysis

scholarly journals Real Time Monitoring of Solar PV Parameter Using IoT

2019 ◽  
Vol 9 (1S) ◽  
pp. 267-271
Keyword(s):  
Real Time ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Real Time Monitoring ◽  
Cloud Data ◽  
Pv Panel ◽  
Solar Photovoltaic System ◽  
Crucial Parameter ◽  
Internet Of Thing

This paper presents a system design to monitor real-time Solar Photovoltaic System (SPV) parameters using the Internet of Thing (IoT) technology. Some essential parameters of an SPV system such as Voltage, Current, and panel temperature is being sensed using sensors. While the most crucial parameter power of the SPV is computed. These parameters are transferred over the cloud with the help of node MCU Esp8266. An android application fetches the cloud data. For this, a complete application is developed on android studio for mobile application for real-time monitoring the PV panel output Voltage, Current, Power and Temperature. The system is tested in the laboratory to monitor the SPV parameter.

scholarly journals Chaos Synchronization Based Novel Real-Time Intelligent Fault Diagnosis for Photovoltaic Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Chin-Tsung Hsieh ◽  
Her-Terng Yau ◽  
Jen Shiu
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Chaos Synchronization ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Diagnosis System ◽  
Fault Features ◽  
Voltage Signal ◽  
Fault Diagnosis System ◽  
Solar Photovoltaic System

The traditional solar photovoltaic fault diagnosis system needs two to three sets of sensing elements to capture fault signals as fault features and many fault diagnosis methods cannot be applied with real time. The fault diagnosis method proposed in this study needs only one set of sensing elements to intercept the fault features of the system, which can be real-time-diagnosed by creating the fault data of only one set of sensors. The aforesaid two points reduce the cost and fault diagnosis time. It can improve the construction of the huge database. This study used Matlab to simulate the faults in the solar photovoltaic system. The maximum power point tracker (MPPT) is used to keep a stable power supply to the system when the system has faults. The characteristic signal of system fault voltage is captured and recorded, and the dynamic error of the fault voltage signal is extracted by chaos synchronization. Then, the extension engineering is used to implement the fault diagnosis. Finally, the overall fault diagnosis system only needs to capture the voltage signal of the solar photovoltaic system, and the fault type can be diagnosed instantly.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

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