Probabilistic Available Transfer Capability Evaluation for Power Systems Including High Penetration of Wind Power

被引:0
|
作者
Fang, Xin [1 ]
Li, Fangxing [1 ]
Gao, Ningchao [2 ]
机构
[1] Univ Tennessee, Dept EECS, Knoxville, TN 37996 USA
[2] SMEPC, Qingpu Power Supply Co, Shanghai, Peoples R China
关键词
Wind power; Correlation; Available Transfer Capability (ATC); Probabilistic power flow; Multi-objective optimal power flow (MOPF); MODEL; FLOW;
D O I
暂无
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
Available transfer capability (ATC) is the measure of transfer capacity remaining in the physical transmission network for further reliable power transfer between two areas in power system. With high penetrations of wind power integrated into the power system, the research concerning impacts of wind power's uncertainty and intermittence on ATC has become increasingly urgent. This paper proposes a probabilistic power flow method with a correlated wind power model to evaluate the impact of high penetrations of wind power on power system ATC. The proposed probabilistic power flow model nullifies the power imbalance using a set of conventional generation through specified sharing factors. Furthermore, a multi-objective optimal power flow (MOPF) model is proposed to consider the ATC requirement in the traditional generation cost minimization optimal power flow (OPF). Finally, the proposed model and algorithm are validated by an analysis of the IEEE 39-bus system.
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页数:6
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