Long-term Coordination of Transmission and Storage to Integrate Wind Power

被引:61
作者
Conejo, Antonio J. [1 ,2 ]
Cheng, Yaohua [3 ]
Zhang, Ning [3 ]
Kang, Chongqing [3 ]
机构
[1] Ohio State Univ, ISE, Columbus, OH 43210 USA
[2] Ohio State Univ, ECE Dept, Columbus, OH 43210 USA
[3] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS | 2017年 / 3卷 / 01期
基金
美国国家科学基金会;
关键词
Long-term planning; storage; transmission; uncertainty; wind power; EXPANSION; SYSTEMS; MODELS;
D O I
10.17775/CSEEJPES.2017.0006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A power system with a high wind power integration requires extra transmission capacity to accommodate the intermittency inherent to wind power production. Storage can smooth out this intermittency and reduce transmission requirements. This paper proposes a stochastic optimization model to coordinate the long-term planning of both transmission and storage facilities to efficiently integrate wind power. Both long-term and short-term uncertainties are considered in this model. Long-term uncertainty is described via scenarios, while short-term uncertainty is described via operating conditions. Garver's 6-node system and a system representing Northwest China in 2030 are used to illustrate the proposed model. Results indicate that storage reduces transmission requirement and the overall investment, and allows the efficient integration of wind power.
引用
收藏
页码:36 / 43
页数:8
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