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Monitoring and Analysis of Two Grid Connected PV Systems
Michaël Bressan, Valérie Dupé, Bruno Jammes, Thierry Talbert, Corinne Alonso
To cite this version:
Michaël Bressan, Valérie Dupé, Bruno Jammes, Thierry Talbert, Corinne Alonso. Monitoring and Analysis of Two Grid Connected PV Systems. PVSEC, Sep 2013, Paris, France. pp.1-5. �hal-00924619�
1
Monitoring and analysis of two grid connected PV systems
Michael BRESSAN* Valérie DUPE**, Bruno JAMMES**, Thierry TALBERT*, Corinne ALONSO**
*PROMES CNRS **LAAS CNRS
Rambla de la Thermodynamique 7, avenue du Colonel Roche
66100, Perpignan, France BP 54200
31031 Toulouse cedex 4
5.2 PV System Reliability and Availability
Abstract
In this paper, two grid connected photovoltaic systems are studied and monitored for fault detection ad predictive reliability. The first PV grid, is at CNRS-PROMES laboratory in Perpignan, built in 2001 with 3 PV arrays named “Shed”,”Brise soleil”,”Mur rideau") connected to the grid thanks to many inverter of different power (3 of 4KWC and 2 of 2.5KWC). The second one is at CNRS-LAAS in Toulouse with a power of 100kWc. It is composed of a facade of 36kWc PV array and a roof of 64kWc PV array. To observe the overall effect of these PV systems, a monitoring device is installed on both installations. Adapted to all kinds of equipment, it can be installed on any inverter or PV array. This monitoring system is non intrusive and uses Transmission Control Protocol/Internet Protocol (TCPIP) for data sending (DC bus, AC bus, environmental data). This paper begins by a description of the monitoring system and PV systemsThen, from these measurements, a performance analysis of the photovoltaic power generation in building is presented. PV arrays are simulated using I-V characteristics of the cell implemented under Matlab/Simulink. Simulation results and experimental data are then compared in order to carry out a fault detection and an energy production estimation. Finally, this work will enable us to predict the behavior of these PV systems thanks to predictive command.
PV system
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Table 1 : PV cells parameters
Table variable Experimental data
VPV Output module voltage IPH Light-generated current IPV Output module current I0 Saturation current
Tc Cell temperature k Boltzmann’s constant A Ideality factor
q elementary charge Rsh Cell shunt resistance Rs Cell series resistance
The models are implemented on Matlab/ Simulink. Finally, the output current of the PV module are solved using the Newton's method for rapid convergence of the answer like describe in [2]. It allows solving non linear characteristics iteratively to ensure convergence of the results:
In PROMES, thanks to the PV module PWX500 parameters [1], the I-V characteristic is represented in Figure 3. In order to extract the maximum available power from PV modules, it is necessary to operate at the maximum power point. Several methods exist and the most common is the Perturb and Observe presented in this paper. The performances of the P&O algorithm have been simulated under Matlab with PWX500 module parameters and one day of irradiance data, shown in figure 7.
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Referenc
[1] PWX 50 [2] Walker Electronics [3] Ramos H
“Modelling (ICREPQ’10 [4] Jung Hu and analysi [5] M. Ciobo inverter sim
e 3 : Curve I- perature and
nd step is to to simulate d voltage c with a pre d on the rea
goal of this tools, PV sy are simulate of the PV s
command w tegrated to
ces
0 module vo G.: Evaluati Engineering Hernanz, JA of photovolt 0) Granada ( un Soa, Youn
s of 3 kW gr otaru, T Ker mulation using
-V PWX500 b) constant
o simulated e grid conne control loop
dictive com al time cont paper is to ystems are ed and com systems inte
with some both buildin
oltage, PHOT ing MPPT c , Australia, I A., Campayo
aic module”
(Spain), 23th ng Seok Jun id-connected rekes, R. Te g MATLAB/S
a) constant irradiance
d grid conn ected PV in p with some mmand. This troller, so a speak abo monitored mpared to egrated in b
parameters ngs.
TOWATT, da converter top
EAust, vol.2 Martin,JJ. Z , Internation h to 25th Mar nga, Gwon Jo
d PV systems odorescu Se Simulink grap
Figu
nected inver nverter and e regulator.
s command as to anticip out the perfo and analyz
measured building wil s to predict
atasheet pologies usin
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ong Yua, Ju s, Elsevier, 2 enior Membe phical environ
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ewable Energ
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ne day of irra
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hoic Perform
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