Boulaire, Fanny and Narimani, Afsaneh and Bell, John and Drogemuller, Robin and Vine, Desley and Buys, Laurie and Walker, Geoffrey (2019) Benefit assessment of battery plus solar for customers and the grid. Energy Strategy Reviews, 26:100372. ISSN 2211-467X
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Abstract
A method that can assess the benefit for both the customers and the distribution grid when household or community batteries are installed without central control is presented. An agent-based model is used where the household assets' characteristics and behaviours are modelled and linked to a network model. Electricity data from dwellings on one street in Townsville, Australia, was used to populate the models, and simulations were run under three battery scenarios. The scenarios considered were a) “Business as usual” when no battery storage is installed, b) individual batteries are installed at each household, c) a community battery that would supply all the households is installed. Customer benefits are calculated from the operational costs savings using two types of tariffs available in Queensland. The network assets’ health is assessed considering load, current and voltage levels at the distribution transformer. These simulations lead to a better informed decision for the customer, and give the utility insight into how such technologies might impact their assets.
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| Item Type: | Article (Commonwealth Reporting Category C) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Current - Research and Innovation Division (12 Jul 2012 -) |
| Faculty/School / Institute/Centre: | Current - Research and Innovation Division (12 Jul 2012 -) |
| Date Deposited: | 04 Sep 2020 03:24 |
| Last Modified: | 28 Oct 2020 05:00 |
| Uncontrolled Keywords: | Agent-based modelling; Storage; Renewable energy communities; Low voltage network |
| Fields of Research (2008): | 09 Engineering > 0999 Other Engineering > 099999 Engineering not elsewhere classified |
| Identification Number or DOI: | https://doi.org/10.1016/j.esr.2019.100372 |
| URI: | http://eprints.usq.edu.au/id/eprint/39354 |
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