Optimal Load Shedding Planning with Genetic Algorithm

被引：0

作者：

Chen, Chao-Rong ^{[1
]}

Tsai, Wen-Ta ^{[1
,2
]}

Chen, Hua-Yi ^{[1
,2
]}

Lee, Ching-Ying ^{[3
]}

Chen, Chun-Ju ^{[1
]}

Lan, Hong-Wei ^{[2
]}

机构：

[1] Natl Taipei Univ Technol, Taipei, Taiwan

[2] Taiwan Power Co, Dept Syst Operat, Taipei, Taiwan

[3] Tungnan Univ, New Taipei, Taiwan

来源：

2011 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS) | 2011年

关键词：

Underfrequency load shedding (UFLS); Single machine Infinite Bus (SMIB); Genetic algorithm (GA); Protection relay;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes a novel plan ning method using genetic algorithm (GA) to achieve minimization of load shedding. The frequency of a power system declines rapidly when generator outage occurs. The general solution is to install sufficient under-frequency relays to pull frequency back to nor mal range. In this study, a single machine infinite bus (SMIB) is utilized to simulate system load with genetic algorithm for estimating the optimal load shedding and shedding ratio in each stage. Simulated results indicate that the proposed GA-based method is both feasible and effective to facilitate optimal load shedding planning.

引用

页数：6

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