Power System Adequacy: an Efficient Procedure Based on Genetic Algorithms

被引：0

作者：

Gatta, F. M. ^{[1
]}

Geri, A. ^{[1
]}

Lauria, S. ^{[1
]}

Maccioni, M. ^{[1
]}

Masato, P. ^{[2
]}

机构：

[1] Univ Roma La Sapienza, Dept Elect Engn, Rome, Italy

[2] TERNA, Italian Transmiss Syst Operat, Rome, Italy

来源：

2009 IEEE BUCHAREST POWERTECH, VOLS 1-5 | 2009年

关键词：

Static adequacy; Network re-configuration; Power re-dispatching; Load shedding; Genetic algorithms; RECONFIGURATION;

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：

The paper presents a methodology which can be used to improve the static adequacy of high voltage (HV) transmission systems under contingency. The most suitable corrective actions for bringing the power system back to acceptable operation conditions are identified by means of a power system management software. The proposed procedure combines a micro genetic algorithm (AGA) optimization procedure with a load-flow program. The foreseen control actions consist in change of network configuration, generation re-dispatching, transformer tap setting, insertion and/or regulation (if variable) of shunt reactor and capacitor banks, load shedding. Several case studies, including an application to the Italian EHV/LW transmission grid are presented and discussed in order to evaluate its possible use by a Transmission System Operator (TSO).

引用

页码：2552 / +

页数：3

共 16 条

[1]

BAKARE GA, P 2005 IEEE POW ENG, P1916

[2]

Carroll D.L., FORTRAN Genetic Algorithm (GA) Driver

[3]

FERREIRA JR, P 2000 IEEE POW ENG, P255

[4]

FUKUYAMA Y, P 1995 IEEE INT C FU, P275