Generator Rescheduling for Congestion Management using Firefly Algorithm

被引：0

作者：

Gope, Sadhan ^{[1
]}

Goswami, Amp Kumar ^{[2
]}

Tiwari, Prashant Kumar ^{[2
]}

Deb, Subhasish ^{[1
]}

机构：

[1] Mizoram Univ, Elect Engn Dept, Aizawl 796004, India

[2] NIT Silchar, Elect Engn Dept, Silchar 788010, Assam, India

来源：

2015 INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS AND APPLICATIONS | 2015年

关键词：

Generator sensitivity factor; generator rescheduling; transmission congestion management; optimization techniques; firefly algorithm; ELECTRICITY MARKET; VOLTAGE STABILITY; FACTS DEVICES;

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：

In power system operation, congestion management has become more complicated with the increase of system complexity in deregulated environment. That is why, in present scenario of power system congestion management is a complex task of an independent system operator (ISO). In this paper, generator rescheduling is used as a congestion management technique. A recently developed meta heuristic algorithm known as Firefly Algorithm (FA) has been introduced in proposed work. The present work is two folded. Firstly, Generator sensitivity factor (GSF) is calculated to identify the generators participating in congestion management by rescheduling their output. Secondly, FA is introduced to find optimal rescheduling cost of participating generators. Present work is tested on IEEE 39 bus New England Test System.

引用

收藏

页码：40 / 44

页数：5

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