Interval Power Flow Analysis Using Linear Relaxation and Optimality-Based Bounds Tightening (OBBT) Methods

被引:67
作者
Ding, Tao [1 ,2 ]
Bo, Rui [3 ]
Li, Fangxing [2 ]
Guo, Qinglai [1 ]
Sun, Hongbin [1 ]
Gu, Wei [4 ]
Zhou, Gan [4 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
[3] Midcontinent Independent Transmiss Syst Operator, Eagan, MN 55121 USA
[4] Southeast Univ, Sch Elect Engn, Nanjing, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
Convex/concave envelopes; interval power flow; linear relaxation; optimality-based bounds tightening (OBBT); quadratically constrained quadratic programming (QCQP); uncertainty; UNIT COMMITMENT; WIND POWER;
D O I
10.1109/TPWRS.2014.2316271
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With increasingly large scale of intermittent and non-dispatchable resources being integrated into power systems, the power flow problem presents greater uncertainty. In order to obtain the upper and lower bounds of power flow solutions including voltage magnitudes, voltage angles and line flows, Cartesian coordinates-based power flow is utilized in this paper. A quadratically constrained quadratic programming (QCQP) model is then established to formulate the interval power flow problem. This non-convex QCQP model is relaxed to linear programming problem by introducing convex and concave enclosures of the original feasible region. To improve the solutions bounds while still encompassing the true interval solution, optimality-based bounds tightening (OBBT) method is employed to find a better outer hull of the feasible region. Numerical results on IEEE 9-bus, 30-bus, 57-bus, and 118-bus test systems validate the effectiveness of the proposed method.
引用
收藏
页码:177 / 188
页数:12
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