An Efficient Optimal Control Method for Open-Loop Transient Stability Emergency Control

被引:39
|
作者
Li, Zhihao [1 ]
Yao, Guoqiang [2 ]
Geng, Guangchao [3 ]
Jiang, Quanyuan [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] State Grid Jiaxing Power Supply Co, Jiaxing 314033, Peoples R China
[3] Zhejiang Univ, Dept Control Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Adjoint sensitivity analysis; constraint aggregation; direct sequential approach; emergency control; interior point method; open-loop control; transient stability; OPTIMAL POWER-FLOW; INTERIOR-POINT METHOD; SENSITIVITY-ANALYSIS; ALGEBRAIC EQUATIONS; NUMERICAL-SOLUTION; CONSTRAINTS; SYSTEMS; OPTIMIZATION; OPERATION;
D O I
10.1109/TPWRS.2016.2629620
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 the expansion of modern power systems, the stability issues become more and more prominent. Transient stability emergency control is usually designed in open-loop schemes and applies proper actions to avoid system collapse when transient stability cannot be guaranteed in serious contingencies. Taking transient stability and economic efficiency of power system into consideration, the emergency control problem can be modeled as an optimal control problem, which is computational expensive. In this paper, an optimal control method with constraint aggregation is proposed to reduce computational complexity. The yield nonlinear problem is a fairly small-scale optimization problem which can be efficiently solved by predictor-corrector interior point method. The adjoint sensitivity analysis (ASA) is employed to evaluate the first-order derivative while Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is used to obtain the second-order derivative. Besides, very dishonest Newton (VDHN) method and reusage of LU factorization results are explored to accelerate the forward and backward integration phase of ASA, respectively. The proposed approach is tested on four cases with different scales, and shows its potential in computational efficiency.
引用
收藏
页码:2704 / 2713
页数:10
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