An Analysis on Energy-Saving Generation Dispatch Considering Carbon Emission Limitation and the Development of New Energy Materials

Abstract:

The development of new energy materials offers a solid foundation for the expansion of renewable and other clean energy such as onshore/offshore wind energy, solar energy, biomass and nuclear energy. With the rapid growth of the installed capacity of these clean energy types, it is urgent to further improve the generation dispatch mode to guarantee the grid connection. An energy-saving generation dispatch model is established to find out the optimal unit commitment of thermal power and other clean power, with a consideration of carbon emission limitation.

• Periodical: Advanced Materials Research (Volume 577)
• Pages: 51-54
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.577.51
• Online since: October 2012
• Authors: Nan He, Zhong Fu Tan, Jian Qiang An
• Keywords: Carbon Reduction, Energy Materials, Energy-Saving Generation Dispatch, Renewable Energy

References

[1] General Office of the State Council. Document GFB.

[2007] Energy-saving Generation Dispatch Regulation [EB/OL]. http: /www. sdpc. gov. cn/zcfb/zcfbqt/2007qita/t20070828 _156042. htm.

[2] Zhu Keding, Song Yihang, Tan Zhong-fu, et al. China wind power integration status quo and its benefit to energy saving and emission reduction[J]. Electric Power, 2011, 44(6): 67-70.

[3] Shen Youxing, Liu Lin, Zeng Ming. Social benefit evaluation models for wind power and their applications[J]. East China Electric Power, 2011, 44(6): 67-70.

[4] Li Junfeng, Shi Pengfei, Gao Hu. China Wind Power Outlook 2010[M]. Haikou: Haikou Press, 2010: 87-88.

[5] Liao Gwo-Ching. A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power[J]. Energy, 2011, 36(2): 1018-1029.

DOI: 10.1016/j.energy.2010.12.006

[6] Li Zhi, Han Xueshan, Yang Ming, et al. Power system dispatch considering wind power grid integration[J]. Automation of Electric Power Systems, 2010, 34(19): 15-19.

[7] Wang Cai-xia, Qiao Ying, Lu Zong-xiang. A method for determination of spinning reserve in wind-thermal power systems considering wind power benefits[J]. Automation of Electric Power Systems, 2012, 36(4): 16-21.

DOI: 10.1109/pesgm.2012.6344879

[8] K. Chandrasekaran, S. Hemamalini, Sishaj P. Simon, et al. Thermal unit commitment using binary/real coded artificial bee colony algorithm[J]. Electric Power Systems Research, 2012, 84(1): 109-119.

DOI: 10.1016/j.epsr.2011.09.022

[9] Gaing ZL, Lin GN. Unit commitment with security assessment using chaotic PSO algorithm[J]. Journal of Circuits Systems and Computers, 2011, 20(7): 1357-1376.

DOI: 10.1142/s021812661100792x

[10] Carrion M, Arroyo J M. A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem[J]. IEEE Transactions on Power Systems, 2006, 21(3): 1371-1378.

DOI: 10.1109/tpwrs.2006.876672