Application of PBIL to the optimisation of PSS tuning

被引：0

作者：

Chen, L ^{[1
]}

Petroianu, A ^{[1
]}

机构：

[1] Univ Cape Town, Dept Elect Engn, ZA-7701 Rondebosch, South Africa

来源：

POWERCON '98: 1998 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - PROCEEDINGS, VOLS 1 AND 2 | 1998年

关键词：

D O I：

暂无

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：

A Sub-optimal H infinity PSS tuning method has been developed recently. This method can improve overall damping factor and robustness by using the existing PSS structure. One of the optimisation methods applied to this tuning procedure was Sequential Quadratic Programming (SQP). Since SQP only deals with convex problems, it is not suitable for multi-machine power systems. To address the shortcomings of the method an optimisation method called PBIL (Population based incremental learning) with the key features of its ability to optimise non-convex multi-variable problems has been applied to the tuning method developed.

引用

页码：834 / 838

页数：5

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