Abstract
In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.
| Original language | English |
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| Title of host publication | 2017 Australasian Universities Power Engineering Conference (AUPEC 2017) |
| Editors | Enamul Haque, Brendan McGrath, Sajeeb Saha, Mohammad Arif, Shama Islam |
| Place of Publication | Piscataway NJ USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 7-12 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538626474, 9781538626467 |
| ISBN (Print) | 9781538626481 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | Australasian Universities Power Engineering Conference 2017 - Melbourne, Australia Duration: 19 Nov 2017 → 22 Nov 2017 https://www.vu.edu.au/australasian-universities-power-engineering-conference-2017-aupec2017 |
Conference
| Conference | Australasian Universities Power Engineering Conference 2017 |
|---|---|
| Abbreviated title | AUPEC 2017 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 19/11/17 → 22/11/17 |
| Internet address |