Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates

This paper investigates a comparative study for practical optimal sizing of rooftop solar photovoltaic (PV) and battery energy storage systems (BESSs) for grid-connected houses (GCHs) by considering flat and time-of-use (TOU) electricity rate options. Two system configurations, PV only and PV-BESS,...

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Main Authors: Iflah Javeed, Rahmat Khezri, Amin Mahmoudi, Amirmehdi Yazdani, G. M. Shafiullah
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/12/3520
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spelling doaj-48aabf7bfef349b2aa921548b65d1ec62021-07-01T00:05:31ZengMDPI AGEnergies1996-10732021-06-01143520352010.3390/en14123520Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity RatesIflah Javeed0Rahmat Khezri1Amin Mahmoudi2Amirmehdi Yazdani3G. M. Shafiullah4STEM, University of South Australia, Adelaide, SA 5001, AustraliaCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaCollege of Science and Engineering, Flinders University, Adelaide, SA 5042, AustraliaCollege of Science, Health, Engineering and Education, Murdoch University, Perth, WA 6150, AustraliaCollege of Science, Health, Engineering and Education, Murdoch University, Perth, WA 6150, AustraliaThis paper investigates a comparative study for practical optimal sizing of rooftop solar photovoltaic (PV) and battery energy storage systems (BESSs) for grid-connected houses (GCHs) by considering flat and time-of-use (TOU) electricity rate options. Two system configurations, PV only and PV-BESS, were optimally sized by minimizing the net present cost of electricity for four options of electricity rates. A practical model was developed by considering grid constraints, daily supply of charge of electricity, salvation value and degradation of PV and BESS, actual annual data of load and solar, and current market price of components. A rule-based energy management system was examined for GCHs to control the power flow among PV, BESS, load, and grid. Various sensitivity analyses are presented to examine the impacts of grid constraint and electricity rates on the cost of electricity and the sizes of the components. Although the capacity optimization model is generally developed for any case study, a grid-connected house in Australia is considered as the case system in this paper. It is found that the TOU-Flat option for the PV-BESS configuration achieved the lowest NPC compared to other configuration and options. The optimal capacities of rooftop PV and BESS were obtained as 9 kW and 6 kWh, respectively, for the PV-BESS configuration with TOU-Flat according to two performance metrices: net present cost and cost of electricity.https://www.mdpi.com/1996-1073/14/12/3520battery energy storagecost of electricityelectricity ratesgrid-connected householdoptimal sizingrooftop PV system
collection DOAJ
language English
format Article
sources DOAJ
author Iflah Javeed
Rahmat Khezri
Amin Mahmoudi
Amirmehdi Yazdani
G. M. Shafiullah
spellingShingle Iflah Javeed
Rahmat Khezri
Amin Mahmoudi
Amirmehdi Yazdani
G. M. Shafiullah
Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
Energies
battery energy storage
cost of electricity
electricity rates
grid-connected household
optimal sizing
rooftop PV system
author_facet Iflah Javeed
Rahmat Khezri
Amin Mahmoudi
Amirmehdi Yazdani
G. M. Shafiullah
author_sort Iflah Javeed
title Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
title_short Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
title_full Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
title_fullStr Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
title_full_unstemmed Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates
title_sort optimal sizing of rooftop pv and battery storage for grid-connected houses considering flat and time-of-use electricity rates
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-06-01
description This paper investigates a comparative study for practical optimal sizing of rooftop solar photovoltaic (PV) and battery energy storage systems (BESSs) for grid-connected houses (GCHs) by considering flat and time-of-use (TOU) electricity rate options. Two system configurations, PV only and PV-BESS, were optimally sized by minimizing the net present cost of electricity for four options of electricity rates. A practical model was developed by considering grid constraints, daily supply of charge of electricity, salvation value and degradation of PV and BESS, actual annual data of load and solar, and current market price of components. A rule-based energy management system was examined for GCHs to control the power flow among PV, BESS, load, and grid. Various sensitivity analyses are presented to examine the impacts of grid constraint and electricity rates on the cost of electricity and the sizes of the components. Although the capacity optimization model is generally developed for any case study, a grid-connected house in Australia is considered as the case system in this paper. It is found that the TOU-Flat option for the PV-BESS configuration achieved the lowest NPC compared to other configuration and options. The optimal capacities of rooftop PV and BESS were obtained as 9 kW and 6 kWh, respectively, for the PV-BESS configuration with TOU-Flat according to two performance metrices: net present cost and cost of electricity.
topic battery energy storage
cost of electricity
electricity rates
grid-connected household
optimal sizing
rooftop PV system
url https://www.mdpi.com/1996-1073/14/12/3520
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