TY - GEN
T1 - Optimization Methodology for Reconfigurable PV Modules
AU - Manganiello, Patrizio
AU - Bosmalis, Pavlos
AU - Baka, Maro
AU - Voroshazi, Eszter
AU - Soudris, Dimitrios
AU - Catthoor, Francky
AU - Szlufcik, Jozef
AU - Poortmans, Jef
PY - 2018/11/26
Y1 - 2018/11/26
N2 - Reconfigurable photovoltaic modules represent an effective solution to improve PV system resilience to partial shading. Indeed, the availability of different configurations increases energy generation under non-uniform conditions. However, the additional components that are active under uniform conditions lead to higher losses compared to equivalent static solutions. This paper presents a methodology for the design of optimized reconfigurable PV modules, balancing losses under uniform conditions and gain under partial shading. First, feasible reconfigurable module instantiations are selected given some design constraints. Then, the search space is further reduced by taking into account the typical operating conditions of the module. Finally, the best module layouts are chosen based on performance consideration. Results for a specific case study are presented to show the feasibility of the proposed methodology.
AB - Reconfigurable photovoltaic modules represent an effective solution to improve PV system resilience to partial shading. Indeed, the availability of different configurations increases energy generation under non-uniform conditions. However, the additional components that are active under uniform conditions lead to higher losses compared to equivalent static solutions. This paper presents a methodology for the design of optimized reconfigurable PV modules, balancing losses under uniform conditions and gain under partial shading. First, feasible reconfigurable module instantiations are selected given some design constraints. Then, the search space is further reduced by taking into account the typical operating conditions of the module. Finally, the best module layouts are chosen based on performance consideration. Results for a specific case study are presented to show the feasibility of the proposed methodology.
UR - http://www.scopus.com/inward/record.url?scp=85059914633&partnerID=8YFLogxK
U2 - 10.1109/PVSC.2018.8548246
DO - 10.1109/PVSC.2018.8548246
M3 - Conference contribution
AN - SCOPUS:85059914633
T3 - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
SP - 3630
EP - 3634
BT - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Y2 - 10 June 2018 through 15 June 2018
ER -