Optimal capacity of PV and BES for grid-connected households in South Australia

Date

2019

Authors

Khezri, R.
Mahmoudi, A.
Haque, M.H.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Conference paper

Citation

Proceedings of the Energy Conversion Congress and Exposition (ECCE), 2019, pp.3483-3490

Statement of Responsibility

Conference Name

IEEE Energy Conversion Congress and Exposition (ECCE) (29 Sep 2019 - 3 Oct 2019 : Baltimore, US)

Abstract

This paper investigates the optimal capacities of solar photovoltaic (PV) and battery energy storage (BES) for grid-connected households in South Australia. The optimisation is based on the net present cost of the electricity in a 20-yearlifespan. Real data of load pattern, solar insolation and temperature at hourly interval as well as the electricity rates(retail price and feed-in-tariff) of South Australia are used in this study. Three different configurations with appropriate rule based home energy management are proposed. Optimal capacities of the PV and BES are found in each configuration based on four different scenarios of PV capacity limited by the availability of roof size. The maximum export power limitations for South Australian households is considered for the optimization. The cost of electricity (¢/kWh) is selected as an index for comparison between the proposed systems. It is found that the proposed optimal system can be more beneficial for the households with lower electricity consumption. The study examines the sensitivity of the results to the average load consumption and costs of PV and battery. Annual load, PV power, battery charging/discharging, dumped energy, state-of charge of battery as well as the grid export/import power are shown and discussed. The optimal system is compared with azero net energy home in South Australia. A general guideline is demonstrated for the customers to purchase the optimal capacities of PV and BES.

School/Discipline

Dissertation Note

Provenance

Description

Access Status

Rights

Copyright 2019 IEEE Access Condition Notes: Accepted manuscript available on Open Access

License

Grant ID

Call number

Persistent link to this record