TY - GEN
T1 - Signal processing for photovoltaic applications
AU - Buddha, S.
AU - Braun, H.
AU - Krishnan, V.
AU - Tepedelenlioglu, Cihan
AU - Spanias, Andreas
AU - Yeider, T.
AU - Takehara, T.
PY - 2012/3/15
Y1 - 2012/3/15
N2 - The need for the usage of signal processing and pattern recognition techniques to monitor photovoltaic (PV) arrays and to detect and respond to faults with minimal human involvement is increasing. The data obtained from the array can be used to dynamically modify the array topology and improve array power output. This is beneficial especially when module mismatches such as shading, soiling and aging occur in the PV array. A robust statistics-based fault detection algorithm to find faulty modules is presented. Further, topology optimization of PV arrays using module level data is considered. Various topologies such as the series-parallel (SP), the total cross-tied (TCT), the bridge link (BL) and their bypassed versions are considered. The performance associated with these topologies for a possible shading pattern is analyzed and a topology reconfiguration algorithm is employed to find an optimal configuration. The results demonstrate the benefit of having an electrically re-configurable array topology. Results were generated in a SPICE simulator using synthetic and real data obtained from the APS experimental PV array facility.
AB - The need for the usage of signal processing and pattern recognition techniques to monitor photovoltaic (PV) arrays and to detect and respond to faults with minimal human involvement is increasing. The data obtained from the array can be used to dynamically modify the array topology and improve array power output. This is beneficial especially when module mismatches such as shading, soiling and aging occur in the PV array. A robust statistics-based fault detection algorithm to find faulty modules is presented. Further, topology optimization of PV arrays using module level data is considered. Various topologies such as the series-parallel (SP), the total cross-tied (TCT), the bridge link (BL) and their bypassed versions are considered. The performance associated with these topologies for a possible shading pattern is analyzed and a topology reconfiguration algorithm is employed to find an optimal configuration. The results demonstrate the benefit of having an electrically re-configurable array topology. Results were generated in a SPICE simulator using synthetic and real data obtained from the APS experimental PV array facility.
KW - Array Performance
KW - Fault detection
KW - Photovoltaic arrays
KW - Shading
KW - Topology Optimization
UR - http://www.scopus.com/inward/record.url?scp=84858057952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858057952&partnerID=8YFLogxK
U2 - 10.1109/ESPA.2012.6152459
DO - 10.1109/ESPA.2012.6152459
M3 - Conference contribution
AN - SCOPUS:84858057952
SN - 9781467308984
T3 - 2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 - Proceedings
SP - 115
EP - 118
BT - 2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 - Proceedings
T2 - 2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012
Y2 - 12 January 2011 through 14 January 2011
ER -