Modeling of small-signal stability margin constrained optimal power flow

被引:0
作者
Huang, Zheng [1 ]
Wang, Kewen [1 ]
Wang, Yi [1 ]
Wen, Fushuan [2 ]
Dinavahi, Venkata [3 ]
Liang, Jun [4 ]
机构
[1] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou 450001, Peoples R China
[2] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[3] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
[4] Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Damping ratio; Eigenvalue; Optimal power flow; Power system computation; Small-signal stability; Stability margin; TRANSFER CAPABILITY; SYSTEM; COORDINATION; ENHANCEMENT; DESIGN;
D O I
10.1016/j.ijepes.2024.110338
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
This paper presents a novel small-signal stability margin (SSSM) constrained optimal power flow model for generation dispatch to minimize the generation cost while retaining adequate SSSM. The SSSM constraint is described in terms of the total active load variation between an initial operating point and the critical point, which is located on the dynamic performance boundary of small-signal stability. From the existing SSSM model, where the steady-state equation and the small-signal stability equation are taken into account, a modified SSSM model is proposed to reduce the computational requirement. The sensitivity representation of SSSM with respect to operating parameters is newly derived, which makes it possible for the SSSM and steady-state optimization problems to be jointly solved. A joint solution approach is proposed to solve the small-signal stability margin constrained optimal power flow (SSSMC-OPF) model. Simulation results show that the proposed approach can effectively minimize the generation cost subject to retaining a certain level of SSSM. For an 8-machine 24-bus system and a modified practical 68-machine 2395-bus system, the generation costs of SSSMC-OPF are increased by 5.28% and 2.73%, respectively, but the SSSMs are improved by 45% and 14.41%, respectively, compared to the optimal power flow.
引用
收藏
页数:10
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