DocumentCode
1778070
Title
The research on the economic load dispatch of grid-connected microgrid considering the carbon emissions trading
Author
Tiezheng Huang ; Yingying Hu ; Jia Lu
Author_Institution
Econ. & Tech. Res. Inst., SGCC, Taiyuan, China
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
3384
Lastpage
3391
Abstract
Microgrid technology can provide an effective technical approach for the new energy and renewable energy and the carbon emissions trading can provide favorable conditions for the grid-connected Microgrid operating economically. As a result, it establishs the optimal operation model of grid-connected Microgrid with taking into account the carbon emissions trading in the paper. It proposes a optimal method to minimize the total economy costs including costs of power losses, operations costs, capital, environmental costs, Start-up/Shut-down Costs, operation and maintenance costs in the microgrid. To validate the performance of the proposed method, it adopts composite adaptive global artificial fish algorithm and analyze with the typical microgrid. The simulation results show that the composite adaptive global artificial fish swarm algorithm is applicable to solve the optimal operation of grid-connected Microgrid, and the carbon emissions trading can significantly improve the the economy of microgrid.
Keywords
air pollution control; distributed power generation; load dispatching; optimisation; power distribution economics; capital costs; carbon emissions trading; composite adaptive global artificial fish swarm algorithm; economic load dispatch; environmental costs; grid-connected microgrid; maintenance costs; operations costs; optimal operation model; power losses; renewable energy; shut-down costs; start-up costs; technical approach; Carbon dioxide; Economics; Electricity; Marine animals; Microgrids; Optimization; Microgrid; Optimal operation; the Carbon Emissions Trading; the composite adaptive global artificial fish swarm algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/POWERCON.2014.6993978
Filename
6993978
Link To Document