Potential Energy Prediction Based Control for Transient Stability Enhancement

被引：0
|
作者：
Sahami, Amirreza
Kamalasadan, Sukumar [1 ]
机构：
[1] Univ North Carolina Charlotte, Power Energy & Intelligent Syst Lab, Energy Prod Infrastruct Ctr, Charlotte, NC 28223 USA
来源：
2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING | 2019年
关键词：
Energy Function; SVC; Transient Stability; Preventive Control; POWER-SYSTEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Transient stability assessment and improvement is critical for power grid operation. It deals with the assessment of transient behavior of power grid (especially the generators) when subjected to large disturbances. Clearing a disturbance and taking preventive control actions before it makes the power grid unstable is of crucial importance. In this paper, by using the potential energy of generators, a controller is designed to enhance the transient stability of the system and increase the stability margin. The proposed approach has been tested on IEEE 39 bus test system and the results are provided. It can be seen that the proposed control architecture provide increased stability margin and better controller performance.
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页数：7
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