TY - GEN
T1 - Battery management for grid-connected PV systems with a battery
AU - Park, Sangyoung
AU - Wang, Yanzhi
AU - Kim, Younghyun
AU - Chang, Naehyuck
AU - Pedram, Massoud
PY - 2012
Y1 - 2012
N2 - Photovoltaic (PV) power generation systems are one of the most promising renewable power sources to reduce carbon footprint. Grid-connected PV power systems do not generally have a battery to store the excess charge. However, due to severe imbalance between the peak PV power generation and peak load demand, battery-less Grid-connected PV systems are much less effective for the purpose of power generation and demand mismatch mitigation. Grid-connected PV systems equipped with a battery indeed require elaborate management. This is the first paper that introduces a systematic battery management optimization that accommodates arbitrary electricity billing policies. We formulate an optimization framework to determine the battery charging current from the Grid and PV array taking into account the limited battery capacity, power converter efficiency, battery's internal resistance and rate capacity effect, and maximum power tracking of the PV array. Experimental results show that the proposed algorithm effectively reduces the electricity bill by as much as 28% when compared with previous state-of-the-art battery management policies.
AB - Photovoltaic (PV) power generation systems are one of the most promising renewable power sources to reduce carbon footprint. Grid-connected PV power systems do not generally have a battery to store the excess charge. However, due to severe imbalance between the peak PV power generation and peak load demand, battery-less Grid-connected PV systems are much less effective for the purpose of power generation and demand mismatch mitigation. Grid-connected PV systems equipped with a battery indeed require elaborate management. This is the first paper that introduces a systematic battery management optimization that accommodates arbitrary electricity billing policies. We formulate an optimization framework to determine the battery charging current from the Grid and PV array taking into account the limited battery capacity, power converter efficiency, battery's internal resistance and rate capacity effect, and maximum power tracking of the PV array. Experimental results show that the proposed algorithm effectively reduces the electricity bill by as much as 28% when compared with previous state-of-the-art battery management policies.
KW - battery management
KW - electricity bill
KW - grid-connected systems
KW - photovoltaic power
UR - http://www.scopus.com/inward/record.url?scp=84865539626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865539626&partnerID=8YFLogxK
U2 - 10.1145/2333660.2333689
DO - 10.1145/2333660.2333689
M3 - Conference contribution
AN - SCOPUS:84865539626
SN - 9781450312493
T3 - Proceedings of the International Symposium on Low Power Electronics and Design
SP - 115
EP - 120
BT - ISLPED'12 - Proceedings of the International Symposium on Low Power Electronics and Design
T2 - 2012 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'12
Y2 - 30 July 2012 through 1 August 2012
ER -