TY - GEN
T1 - Maximum power point tracking by design in self-balancing photovoltaic energy storage systems
AU - Mishra, Partha P.
AU - Fathy, Hosam K.
PY - 2018/1/18
Y1 - 2018/1/18
N2 - This paper examines the problem of designing a hybrid photovoltaic (PV)/battery system to achieve maximum power point tracking (MPPT) 'by design', or, passively, without requiring active control. In contrast to the existing literature on passive PV MPPT, a key goal of the paper is to derive analytic design rules for achieving passive MPPT, as well as dynamic models for the potential departure from MPPT over time. We use a 'self-balancing', hybrid PV array and Lithium (Li) ion cell integration topology to demonstrate the idea of 'MPPT by design' in this work. A small signal analysis is performed on the system to understand the effects of changing solar irradiation on the state of the system and its self-balancing behavior. In this analysis, we further identify design parameters of the system that enable the hybrid system to achieve MPPT. Finally, a simulation study validates the theoretical propositions of this paper.
AB - This paper examines the problem of designing a hybrid photovoltaic (PV)/battery system to achieve maximum power point tracking (MPPT) 'by design', or, passively, without requiring active control. In contrast to the existing literature on passive PV MPPT, a key goal of the paper is to derive analytic design rules for achieving passive MPPT, as well as dynamic models for the potential departure from MPPT over time. We use a 'self-balancing', hybrid PV array and Lithium (Li) ion cell integration topology to demonstrate the idea of 'MPPT by design' in this work. A small signal analysis is performed on the system to understand the effects of changing solar irradiation on the state of the system and its self-balancing behavior. In this analysis, we further identify design parameters of the system that enable the hybrid system to achieve MPPT. Finally, a simulation study validates the theoretical propositions of this paper.
UR - http://www.scopus.com/inward/record.url?scp=85046262672&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2017.8264230
DO - 10.1109/CDC.2017.8264230
M3 - Conference contribution
AN - SCOPUS:85046262672
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 3877
EP - 3883
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -