Title :
Selecting an optimal combination of storage & transmission assets with a non-dispatchable electricity supply
Author :
Abdulla, Khalid ; Wirth, Andrew ; Halgamuge, Saman K. ; Steer, Kent C. B.
Author_Institution :
Dept. of Mech. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
Abstract :
The majority of renewable energy sources are non-dispatchable, meaning that it is not possible to control when and how much power they produce. For non-dispatchable renewable energy sources to meet a greater proportion of global electricity demand, the industry must develop and implement strategies that directly address the intermittency challenge. This paper considers electrical storage and transmission assets as alternative means of matching non-dispatchable generation with non-deferrable demand. It seeks an optimal combination of storage and transmission assets for a simplified representation of Australian population centres, assuming that demand is met entirely with solar PV generation. This problem is solved using a Mixed Integer Linear Program. Under the baseline assumptions it is found that the optimal (lowest cost) solution has significant quantities of storage in all load centres, as well as transmission assets installed over large distances. The storage selected was 10-15% Li-ion batteries by energy; with the remainder being pumped hydro storage.
Keywords :
electricity supply industry; integer programming; linear programming; power transmission economics; pumped-storage power stations; renewable energy sources; secondary cells; solar power stations; Australian population centres; electrical storage assets; global electricity demand; lithium-ion batteries; load centres; mixed integer linear program; nondispatchable electricity supply; nondispatchable generation; nondispatchable renewable energy sources; pumped hydrostorage; solar PV generation; transmission assets; Australia; Batteries; Electricity; Gold; HVDC transmission; Renewable energy sources; Renewable energy sources; energy storage; integration; optimisation; power transmission;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
DOI :
10.1109/ICIAFS.2014.7069628