DocumentCode :
3606074
Title :
Cooperative Dispatch of BESS and Wind Power Generation Considering Carbon Emission Limitation in Australia
Author :
Yang Zhang ; Iu, Herbert Ho-Ching ; Fernando, Tyrone ; Fang Yao ; Emami, Kianoush
Author_Institution :
Sch. of Electr., Electron., & Comput. Eng., Univ. of Western Australia, Crawley, WA, Australia
Volume :
11
Issue :
6
fYear :
2015
Firstpage :
1313
Lastpage :
1323
Abstract :
In this paper, an intelligent economic dispatch (ED) model integrating wind energy, carbon tax, and battery energy storage system (BESS) is developed. BESS is incorporated with wind generation to reduce fluctuation of wind energy output. To verify the suitable storage size for the Australian power grid, a sensitivity analysis is performed with different levels of BESS. Carbon tax is also considered to reduce carbon emissions in the proposed ED scheme. A hybrid computational framework based on quantum-inspired particle swarm optimization (QPSO) is proposed to achieve faster and better optimization performance, and its viability demonstrated on a simplified 14-generator model of the Australian power system using a set of case studies. The proposed dispatch model can minimize the generating cost and enhance renewable power consumption capacity.
Keywords :
air pollution control; battery storage plants; minimisation; particle swarm optimisation; power consumption; power generation dispatch; power generation economics; power grids; sensitivity analysis; wind power; Australian power grid; BESS cooperative dispatch; QPSO; battery energy storage system; carbon emission limitation; carbon emission reduction; carbon tax; cost minimization; intelligent economic dispatch model; quantum-inspired particle swarm optimization; renewable power consumption capacity enhancement; sensitivity analysis; wind power generation; Batteries; Carbon tax; Power systems; Wind energy; Wind power generation; Battery energy storage system (BESS); battery energy storage system; carbon tax; environmentally friendly economic dispatch; environmentally friendly economic dispatch (ED); optimization; wind energy;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2015.2479577
Filename :
7271070
Link To Document :
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