低碳经济下基于排放轨迹约束的电力系统电源扩展规划模型

Abstract
Figure/Table
References
Related Citation (4)

Download: PDF (328 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Developing a low-carbon electricity system is a key measure to meet the challenge of global warming and socioeconomic sustainable development. Decarbonization of power generation will be a critical option for CO₂ emission mitigation. In this paper, after describing the factors of low-carbon economy and their effects on generation planning, a model for generation expansion planning based on the carbon emission trajectory model is proposed under low-carbon economy. The new model integrates and formulates some low-carbon factors such as the cost of low-carbon power technology, carbon trading cost and the penalties for excess carbon emission based on the carbon emission trajectory model and considers the constraint of the CO₂ reduction targets. An actual case is studies based on one provincial grid in China by applying the proposed model and the results prove it to be more adaptable and effective for the sustainable development of future power system.

Key words： Generation expansion planning low-carbon economy carbon emission trajectory model low-carbon electric technology carbon trading mechanism

Received: 02 March 2011 Published: 07 March 2014

PACS:

TM715

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Lu Siyu
	Lou Suhua
	Wu Yaowu

Cite this article:

Lu Siyu,Lou Suhua,Wu Yaowu. A Model for Generation Expansion Planning of Power System Based on Carbon Emission Trajectory Model under Low-Carbon Economy[J]. Transactions of China Electrotechnical Society, 2011, 26(11): 175-181.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I11/175

[1] Secretary of State for Trade and Industry, UK．Energy White Paper: Our energy future-creating a low carbon economy[M]. 2003.
[2] 魏一鸣, 刘兰翠, 范英, 等. 中国能源报告(2008): 碳排放研究[R]. 北京: 科学出版社, 2008.
[3] 丁明, 石雪梅. 基于遗传算法的电力市场环境下电源规划的研究[J]. 中国电机工程学报, 2006, 26(21): 43-49.
[4] 吴耀武, 侯云鹤, 熊信银, 等. 基于遗传算法的电力系统电源规划模型[J]. 电网技术, 1999, 23(3): 10-14.
[5] Park J B, Pack Y M, Won J R. An improved genetic algorithm for generation expansion planning[J]. IEEE Transactions on Power Systems, 2000, 15(3): 916-922.
[6] Sirikum J, Techanitisawad A, Kachitvichyanukul V. A new efficient GA-benders’ decomposition method: for power generation expansion planning with emission controls[J]. IEEE Transactions on Power Systems, 2007, 22(3): 1092-1100.
[7] Srivastava S C, Srivastava A K, Rout U K. Least cost generation expansion planning for a regional electricity board in India considering green house gas mitigation[C]. Proceedings of the International Conference on Power System Technology, 2000.
[8] Chen Qinxin, Kang Chongqing, Xia Qing. Power generation expansion Planning model towards low-carbon economy and its application in China[J]. IEEE Transactions on Power Systems, 2010, 25(2): 1117-1125.
[9] Committee on climate change. Building a low-carbon economy—the UK’s contribution to tackling climate change[M]. London: The Stationary Office, 2008.
[10] Bjorn H Bakken, Ingrid Von Streng Velken. Liner models for optimization of infrastructure for CO₂ capture and storage[J]. IEEE Transactions on Energy Conversion, 2008, 23(3): 824-833.
[11] UNGA. Kyoto protocol to the United Nations framework convention on climate change[M]. 1997.
[12] 陈文颖, 吴宗鑫. 气候变化的历史责任与碳排放限额分配[J]. 中国环境科学, 1998, 18(6): 481-485.
[13] Wu Yaowu, Lou Suhua, Lu Siyu. A model for power system interconnection planning under low-carbon economy with CO₂ emission cnstraints[J]. IEEE Transactions on Sustainable Energy, 2011, 2(3): 205-214.
[14] 中国低碳网. http://www.ditan360.com.
[15] IPCC. Intergovernmental panel for climate change fourth assessment report[M]. Cambridge: Cambridge University Press, 2007.
[16] 王铮, 朱永彬. 我国各省区碳排放量状况及减排对策研究[J]. 战略与决策研究, 2008, 23(2): 109-115.