Dynamic Stability Margin Evaluation of Multi-machine Power Systems Using Genetic Algorithm

被引：2

作者：

Naidu, I. E. S. ^{[1
]}

Sudha, K. R. ^{[2
]}

Sekhar, A. Chandra ^{[1
]}

机构：

[1] GITAM Univ, Visakhapatnam, Andhra Pradesh, India

[2] Andhra Univ, AUCEA, Visakhapatnam, Andhra Pradesh, India

来源：

INTERNATIONAL PROCEEDINGS ON ADVANCES IN SOFT COMPUTING, INTELLIGENT SYSTEMS AND APPLICATIONS, ASISA 2016 | 2018年 / 628卷

关键词：

Dynamic stability; Eigenvalue analysis; Genetic algorithm; Power system stabilizer; DESIGN;

D O I：

10.1007/978-981-10-5272-9_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method to find the dynamic stability margin of power system using genetic algorithm. Power systems are subjected to wide range of operating conditions. Modern power systems are equipped with fast-acting protective devices for transient stability problems. Hence, power systems are operated above the transient stability limit. The dynamic behaviour of system can be evaluated using small signal stability analysis. The maximum loading to which the system can be subjected can be obtained by observing the eigenvalue variations of the system under different loading conditions. The loading for which system exhibits a pair of imaginary eigenvalues is the maximum loading limit. Beyond this limit, the system will become unstable. The loading for which the power system exhibits imaginary eigenvalues is evaluated by using genetic algorithm. The dynamic stability margin is evaluated for a 3-machine 9-bus system. The efficacy of the proposed method is tested for the power system including conventional power system stabilizers (CPSS).

引用

页码：1 / 16

页数：16

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