Maximum power point tracking by design in self-balancing photovoltaic energy storage systems

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Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3877-3883
Number of pages7
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jan 18 2018
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

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All Science Journal Classification (ASJC) codes

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

Cite this

Mishra, P. P., & Fathy, H. K. (2018). Maximum power point tracking by design in self-balancing photovoltaic energy storage systems. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (pp. 3877-3883). (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8264230