Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking

A hybrid control strategy for photovoltaic (PV) system and energy storage system (ESS) in a dc microgrid is proposed in this paper. The proposed control strategy minimizes the utilization of ESS in order to prolong the battery lifetime, reduce the total system power losses, and maintain the state-of...

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Main Authors: Hein, Wai Yan, Narang, Aditi, Tafti, Hossein Dehghani, Farivar, Glen G., Pou, Josep
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146817
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1468172023-01-18T05:05:47Z Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking Hein, Wai Yan Narang, Aditi Tafti, Hossein Dehghani Farivar, Glen G. Pou, Josep School of Electrical and Electronic Engineering 2020 IEEE Energy Conversion Congress and Exposition (ECCE) Engineering::Electrical and electronic engineering::Power electronics Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution DC Microgrid Power Engineering A hybrid control strategy for photovoltaic (PV) system and energy storage system (ESS) in a dc microgrid is proposed in this paper. The proposed control strategy minimizes the utilization of ESS in order to prolong the battery lifetime, reduce the total system power losses, and maintain the state-of-charge (SoC) of the battery within a desired range as long as the required power from PV is available. In contrast to the conventional control strategies that regulate the dc bus voltage with the ESS, the proposed control strategy exploits the use of both PV and ESS in regulating the dc bus voltage. It also employs an advanced flexible power point tracking algorithm for the PV system to further enhance the dynamic performance of the system by adaptively adjusting the PV output power according to the load profile. Ministry of Education (MOE) Submitted/Accepted version This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 under Grant No: 2019-T1-001-168 (RG 80/19). 2021-03-11T07:00:17Z 2021-03-11T07:00:17Z 2020 Conference Paper Hein, W. Y., Narang, A., Tafti, H. D., Farivar, G. G. & Pou, J. (2020). Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking. 2020 IEEE Energy Conversion Congress and Exposition (ECCE), 3894-3899. https://dx.doi.org/10.1109/ECCE44975.2020.9235615 9781728158266 https://hdl.handle.net/10356/146817 10.1109/ECCE44975.2020.9235615 2-s2.0-85097194575 3894 3899 en © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ECCE44975.2020.9235615 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Power electronics
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
DC Microgrid
Power Engineering
spellingShingle Engineering::Electrical and electronic engineering::Power electronics
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
DC Microgrid
Power Engineering
Hein, Wai Yan
Narang, Aditi
Tafti, Hossein Dehghani
Farivar, Glen G.
Pou, Josep
Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
description A hybrid control strategy for photovoltaic (PV) system and energy storage system (ESS) in a dc microgrid is proposed in this paper. The proposed control strategy minimizes the utilization of ESS in order to prolong the battery lifetime, reduce the total system power losses, and maintain the state-of-charge (SoC) of the battery within a desired range as long as the required power from PV is available. In contrast to the conventional control strategies that regulate the dc bus voltage with the ESS, the proposed control strategy exploits the use of both PV and ESS in regulating the dc bus voltage. It also employs an advanced flexible power point tracking algorithm for the PV system to further enhance the dynamic performance of the system by adaptively adjusting the PV output power according to the load profile.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Hein, Wai Yan
Narang, Aditi
Tafti, Hossein Dehghani
Farivar, Glen G.
Pou, Josep
format Conference or Workshop Item
author Hein, Wai Yan
Narang, Aditi
Tafti, Hossein Dehghani
Farivar, Glen G.
Pou, Josep
author_sort Hein, Wai Yan
title Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
title_short Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
title_full Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
title_fullStr Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
title_full_unstemmed Reduced battery usage in a hybrid battery and photovoltaic stand-alone DC microgrid with flexible power point tracking
title_sort reduced battery usage in a hybrid battery and photovoltaic stand-alone dc microgrid with flexible power point tracking
publishDate 2021
url https://hdl.handle.net/10356/146817
_version_ 1756370591019958272