TY - GEN
T1 - Maximum power point tracking by design in self-balancing photovoltaic energy storage systems
AU - Mishra, Partha P.
AU - Fathy, Hosam K.
N1 - Funding Information:
This work is supported by Penn State’s ENGINE Grant P. P. Mishra and H. K. Fathy are with the Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA 16802, USA ppm114, hkf2@psu.edu
Funding Information:
The authors gratefully acknowledge the support from Penn State’s College of Engineering ENGINE grant program.
Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
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.
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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 -
