Abstract
Feed-in-Tariffs (FiTs) have been reduced due to combinations of economic and technical reasons. So, existing and new rooftop-photovoltaic (PV) owners are left with the option to either concede the low value arrangement or to use battery storage to maximise their self-consumption, and so minimise their electricity cost. This paper explores the effect of increasing penetration of residential battery systems on balancing and voltage stability of future grid (FG) scenarios. For this purpose, a generic demand model based on a Stackelberg game is employed to capture the interaction between an independent system operator (ISO) and prosumers. In this arrangement, the ISO attempts to minimise the total generation cost, whereas the prosumers aim to maximise their self-consumption by reducing their feed-in power. As a case study, we use the Australian National Electricity Market (NEM) to explore the impact of increased penetration of residential battery system on performance of the grid in 2020.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Power System Technology (POWERCON 2016) |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 440-445 |
Number of pages | 6 |
ISBN (Electronic) | 9781467388481 |
ISBN (Print) | 9781467388498 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | International Conference on Power System Technology (POWERCON) 2016 - Wollongong, Australia Duration: 28 Sept 2016 → 1 Oct 2016 https://ieeexplore.ieee.org/xpl/conhome/7735973/proceeding (Proceedings) https://web.archive.org/web/20161003031129/http://ieee-powercon.org/ (Website) https://web.archive.org/web/20161019130720/http://ieee-powercon.org/paper/ (Review) |
Conference
Conference | International Conference on Power System Technology (POWERCON) 2016 |
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Abbreviated title | POWERCON 2016 |
Country/Territory | Australia |
City | Wollongong |
Period | 28/09/16 → 1/10/16 |
Internet address |
Keywords
- Battery storage
- bi-level optimisation
- demand response
- future grid
- stability