Title :
Data monitoring system for supervising the performance assessment of a photovoltaic park
Author :
Tsagaris, Apostolos ; Triantafyllidis, D.G.
Author_Institution :
Dept. of Autom., Technol. Educ. Inst. of Thessaloniki, Thessaloniki, Greece
Abstract :
Industrial process measurement and control systems are used in many industrial sectors in order to achieve production improvement, process optimization and accuracy of measurements. The increasing tendency in the construction of photovoltaic (PV) parks suggests the use of PLC and SCADA systems for the efficient operation. This paper proposes an intelligent automation system for supervising the performance assessment of a photovoltaic park. It is a data acquisition system based on PLC technology with the use of an OPC server and a high level program language for the front end. The front end (Graphical User Interface) is implemented in Visual Basic™. The PV Park has a total capacity of aprox. 17 kWp and consists of fixed and tracking units. There are 13 different types of PV modules installed, of which four are mounted on fixed as well as on tracking systems. The proposed data monitoring and acquisition system is able to record various parameters of the PV park performance.
Keywords :
SCADA systems; Visual BASIC; graphical user interfaces; photovoltaic power systems; power engineering computing; programmable controllers; OPC server; PLC technology; PV park; SCADA system; Visual Basic; data acquisition system; data monitoring system; graphical user interface; high level program language; industrial process control system; industrial process measurement system; intelligent automation system; measurement accuracy; performance assessment; photovoltaic park construction; process optimization; production improvement; FIFO; PLC; Photovoltaic park performance assessment; SCADA; energy yield; system integration; system monitoring;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4673-5205-5
Electronic_ISBN :
978-1-4673-5210-9
DOI :
10.1109/CINTI.2012.6496795
