TCPST allocation using optimal power flow and Genetic Algorithms

被引：6

作者：

Wirmond, Vilmair E. ^{[1
]}

Fernandes, Thelma S. P. ^{[1
]}

Tortelli, Odilon Luis ^{[1
]}

机构：

[1] Univ Fed Parana, Dept Elect Engn, BR-81531990 Curitiba, Parana, Brazil

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2011年 / 33卷 / 04期

关键词：

TCPST allocation; Genetic Algorithms; Optimal power flow; OPTIMAL LOCATION; FACTS DEVICES; SYSTEM;

D O I：

10.1016/j.ijepes.2010.11.017

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：

This work presents an optimization model to allocate TCPST at congested transmission systems. The problem was resolved by the Genetic Algorithms (GA) together with an Optimal Power Flow (OPF). The proposed strategy used the GA to make the allocation of the TCPST and the OPF to obtain the load flow solution and optimal adjustments of the phase shifter's taps. The mathematical formulation of the methodology is based on installation's costs of the equipment and total system overload minimization. In order to diminish the search field a methodology to elect the most favorable substations to the devices allocation was considered. This methodology was tested at a 291 bus system that is equivalent, in heavy load, to the electric network of the State of Parana in Brazil. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：880 / 886

页数：7

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