SWT and BES optimisation for grid-connected households in South Australia

Rahmat Khezri; Amin Mahmoudi; Mohammed H. Haque

doi:10.1109/ECCE.2019.8912767

SWT and BES optimisation for grid-connected households in South Australia

Rahmat Khezri, Amin Mahmoudi, Mohammed H. Haque

College of Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

This paper determines the optimal capacities of wind turbine and battery energy storage for grid-connected households in South Australia. The current market price of the system components, electricity rates (retail price and feed-in-tariff), and hourly one-year real data of load demand and wind speed are carefully incorporated into the optimization process. Net present cost in 20-year time span is considered as the objective function. A rule-based energy management strategy of the household is proposed. Two configurations of integrating the wind turbine (with and without battery energy storage) are considered. Each configuration is analysed for three different scenarios based on the capital expenditure limitations. The optimised system is compared with a zero-net energy home in South Australia. The effect of the optimised system on the load duration curve in South Australian electricity market is investigated. Annual operational results for the optimal system are presented and discussed. The payback period of different wind turbine capacities is provided. It is found that the payback period of the optimized wind turbine (6 kW) is 13 years and it works better than the capacity for a zero net home energy (3 kW) in terms of the cost reduction.

Original language	English
Title of host publication	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
Publisher	Institute of Electrical and Electronics Engineers
Pages	418-425
Number of pages	8
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8912767
Publication status	Published - 28 Nov 2019
Event	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: 29 Sept 2019 → 3 Oct 2019

Publication series

Name	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/Territory	United States
City	Baltimore
Period	29/09/19 → 3/10/19

Keywords

Battery energy storage
Capacity optimization
Cost of electricity
Grid-connected household
Net present cost
Small wind turbine

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10.1109/ECCE.2019.8912767Licence: In Copyright

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Khezri, R., Mahmoudi, A., & Haque, M. H. (2019). SWT and BES optimisation for grid-connected households in South Australia. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 (pp. 418-425). Article 8912767 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ECCE.2019.8912767

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Khezri, R, Mahmoudi, A & Haque, MH 2019, SWT and BES optimisation for grid-connected households in South Australia. in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019., 8912767, 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019, Institute of Electrical and Electronics Engineers, pp. 418-425, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 29/09/19. https://doi.org/10.1109/ECCE.2019.8912767

SWT and BES optimisation for grid-connected households in South Australia. / Khezri, Rahmat; Mahmoudi, Amin; Haque, Mohammed H.
2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers, 2019. p. 418-425 8912767 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper determines the optimal capacities of wind turbine and battery energy storage for grid-connected households in South Australia. The current market price of the system components, electricity rates (retail price and feed-in-tariff), and hourly one-year real data of load demand and wind speed are carefully incorporated into the optimization process. Net present cost in 20-year time span is considered as the objective function. A rule-based energy management strategy of the household is proposed. Two configurations of integrating the wind turbine (with and without battery energy storage) are considered. Each configuration is analysed for three different scenarios based on the capital expenditure limitations. The optimised system is compared with a zero-net energy home in South Australia. The effect of the optimised system on the load duration curve in South Australian electricity market is investigated. Annual operational results for the optimal system are presented and discussed. The payback period of different wind turbine capacities is provided. It is found that the payback period of the optimized wind turbine (6 kW) is 13 years and it works better than the capacity for a zero net home energy (3 kW) in terms of the cost reduction.

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PB - Institute of Electrical and Electronics Engineers

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Y2 - 29 September 2019 through 3 October 2019

ER -

SWT and BES optimisation for grid-connected households in South Australia

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Keywords

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