Optimal Model Designs for Community Batteries

Wium, Coenraad (2022) Optimal Model Designs for Community Batteries. [USQ Project]

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The Australian energy grid has a need for securing energy sources as centralised generation retire. The penetration of renewables in the form of rooftop photovoltaic systems has decreased apparent demand from the generator's perspective during the middle of the day. Renewable energy resources have the potential for a huge reduction in carbon emissions, but have highly intermittent power profiles. Solar energy is only available during the day, with the output depending on several external factors. Community batteries can facilitate the seamless integration of intermittent renewable energy resources as a solution. Community batteries operating on the distribution network, store the intermittent power generated by photovoltaic systems to generate a smooth load profile from the generator's perspective, reducing the need for generator shutdown and allowing for peak shaving.

This dissertation investigates and analyses community storage frameworks to achieve a smooth load profile that provides utilities benefits from increased distribution transformer lifespans. The method is to size the batteries by the expected reduction in peak demand required. Operate each battery under different frameworks to find the optimal battery size. The life extension of the distribution transformer is calculated alongside the cost recovery of the battery installation for utilities. Due to the community's lower peak demand, savings will be passed on to the consumers and prosumers of the distribution transformer network.

Results show that the community battery positively affects the management of load profiles and the storage of intermittent solar generation. There are complications in the implementation due to the high costs associated with lithium-ion storage. The utilities, under current operational restrictions set out by the Australian energy regulator, cannot access additional sources of revenue to breakeven on the capital expenditure.

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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Supervisors: Kennedy, Joel
Qualification: Bachelor of Engineering (Honours) (Electric and Electronic)
Date Deposited: 19 Jun 2023 03:53
Last Modified: 20 Jun 2023 01:09
Uncontrolled Keywords: Australia; energy grid; renewable energy; transformer lifespans
URI: https://sear.unisq.edu.au/id/eprint/51873

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