Design of STATCOM Damping Controller Using Teaching Learning Based Optimization

被引：0

作者：

Basit, Saad Abdul ^{[1
]}

Abido, Mohammad ^{[1
,2
]}

机构：

[1] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran, Saudi Arabia

[2] KA CARE Energy Res & Innovat Ctr, Dhahran, Saudi Arabia

来源：

2021 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC) | 2021年

关键词：

STATCOM; PSS; Power system stability; TLBO; FACTS; Damping; PSS;

D O I：

10.1109/TPEC51183.2021.9384930

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：

In this paper, power system dynamic stability was enhanced by damping electromechanical oscillations using STATCOM based supplementary power oscillation damping (POD) controller. The non-linear model of the system was derived and then linearized to derive the system closed loop state matrix for eigenvalue analysis. The supplementary POD controller for STATCOM was designed and formulated as an optimization problem and the controller parameters were optimized using teaching-learning-based optimization (TLBO) algorithm. The proposed POD controller performance was verified in time domain simulation. The result shows that the proposed STATCOM POD controller was effective over different operating conditions in enhancing the dynamic stability of power system by damping electromechanical power system oscillations. The TLBO was also compared with other heuristics optimization techniques to validate its superiority.

引用

页码：313 / 318

页数：6

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