Abstract
In recent decades, there has been a proliferation of behind-the-meter distributed energy resources (DER) and technologies in developed economies, and an increase in renewable energy resources (RER) generally. This rise is attributed to the quest for an increase in carbon-free energy by these countries and other environmental concerns.
Furthermore, the traditional fossil fuel powered plants cannot continue serving in the long-run due to their dependence on dwindling reserves. More recently, there have been supportive policies to encourage the uptake of small- and largescale RER, particularly the feed-in-taris and capital rebate schemes in the Australian context. These have resulted
in increased DER uptake rates. However, the average retail electricity price in Australia is on the rise. In light of this, residential customers have resorted to increasing the self-consumption rates of their PV-battery systems, given the fall in the cost of solar PV and batteries. In order to assess the economic viability of customers’ PV-battery systems,
we utilise four energy management methods which aim to minimise customer electricity cost using a home energy management system (HEMS). Testing our methods on 52 customers from the Solar Home Electricity Data, our results show that utilising rule-based heuristic energy management strategies can result in near-optimal solutions, with lower
computational requirements compared to principled optimisation techniques.
Furthermore, the traditional fossil fuel powered plants cannot continue serving in the long-run due to their dependence on dwindling reserves. More recently, there have been supportive policies to encourage the uptake of small- and largescale RER, particularly the feed-in-taris and capital rebate schemes in the Australian context. These have resulted
in increased DER uptake rates. However, the average retail electricity price in Australia is on the rise. In light of this, residential customers have resorted to increasing the self-consumption rates of their PV-battery systems, given the fall in the cost of solar PV and batteries. In order to assess the economic viability of customers’ PV-battery systems,
we utilise four energy management methods which aim to minimise customer electricity cost using a home energy management system (HEMS). Testing our methods on 52 customers from the Solar Home Electricity Data, our results show that utilising rule-based heuristic energy management strategies can result in near-optimal solutions, with lower
computational requirements compared to principled optimisation techniques.
Original language | English |
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Title of host publication | PROCEEDINGS APSRC 2018 |
Editors | Renate Egan |
Place of Publication | Australia |
Publisher | Australian PV Institute |
Number of pages | 13 |
ISBN (Electronic) | 9780648041429 |
Publication status | Published - 2018 |
Externally published | Yes |
Event | Asia-Pacific Solar Research Conference 2018 - Sydney, Australia Duration: 4 Dec 2018 → 6 Dec 2018 Conference number: 6th https://web.archive.org/web/20181120135012/http://apvi.org.au/solar-research-conference/ |
Conference
Conference | Asia-Pacific Solar Research Conference 2018 |
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Abbreviated title | APSRC 2018 |
Country/Territory | Australia |
City | Sydney |
Period | 4/12/18 → 6/12/18 |
Internet address |