TY - GEN
T1 - New approach for localization global maximum of solar array
AU - Yahalom, A.
AU - Domorad, P.
AU - Averbukh, M.
N1 - Publisher Copyright:
© 2017 Assigned jointly to the European Power Electronics and Drives Association & the Institute of Electrical and Electronics Engineers (IEEE).
PY - 2017/11/6
Y1 - 2017/11/6
N2 - Today's PV solar power plants would be unimaginable without Maximum Power Point Tracking (MPPT) which automatically maximizes panels power output, thereby significantly increasing energy production. However, partial shading of PV panels in large solar plants is a serious obstacle for MPPT Multiple local extremums will be observed while only one is the global maximum and has to be found. Some methods and algorithms for solving the problem of tracking the global maximum among locals are known. However, most require a prolonged search time with, therefore, diminished efficiency in situations characterized by sudden variation in solar irradiation. A uniquely efficient algorithm and electronic device was developed for improving total MPPT functionality. It is accomplished by tracking global maximum boundaries, the positions of which are translated into traditional MPPT with substantial localization accuracy. This localization algorithm is based on the assessment of each panel's current together with the usage of a simplified PV equivalent circuit. The proposed algorithm can determine the global maximum on an I-P curve at relatively high speeds, and is only restricted by digital control ability. Currently, this task would take no more than 50-100 us maximum Therefore, me global maximum in any set of rapidly changing shading conditions can be found. Importantly, however, some unsolved questions remain regarding accuracy and sustainability of this approach. The present work analyzes these essential properties and concludes with the proposed MPPT algorithm.
AB - Today's PV solar power plants would be unimaginable without Maximum Power Point Tracking (MPPT) which automatically maximizes panels power output, thereby significantly increasing energy production. However, partial shading of PV panels in large solar plants is a serious obstacle for MPPT Multiple local extremums will be observed while only one is the global maximum and has to be found. Some methods and algorithms for solving the problem of tracking the global maximum among locals are known. However, most require a prolonged search time with, therefore, diminished efficiency in situations characterized by sudden variation in solar irradiation. A uniquely efficient algorithm and electronic device was developed for improving total MPPT functionality. It is accomplished by tracking global maximum boundaries, the positions of which are translated into traditional MPPT with substantial localization accuracy. This localization algorithm is based on the assessment of each panel's current together with the usage of a simplified PV equivalent circuit. The proposed algorithm can determine the global maximum on an I-P curve at relatively high speeds, and is only restricted by digital control ability. Currently, this task would take no more than 50-100 us maximum Therefore, me global maximum in any set of rapidly changing shading conditions can be found. Importantly, however, some unsolved questions remain regarding accuracy and sustainability of this approach. The present work analyzes these essential properties and concludes with the proposed MPPT algorithm.
KW - Global maximum
KW - MPPT
KW - PV solar plant
KW - Partial shading
KW - Permanent monitoring
UR - http://www.scopus.com/inward/record.url?scp=85042056156&partnerID=8YFLogxK
U2 - 10.23919/EPE17ECCEEurope.2017.8099112
DO - 10.23919/EPE17ECCEEurope.2017.8099112
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AN - SCOPUS:85042056156
T3 - 2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
SP - P1-P10
BT - 2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
Y2 - 11 September 2017 through 14 September 2017
ER -