A Genetic Algorithm applied to the Power System Restoration Planning Problem -: A metaheuristic approach for a large combinatorial problem

被引：0
|
作者：
Cechin, Adelmo [1 ]
dos Santos, Jose Vicente Canto [1 ]
Gomez, Arthur Torgo [1 ]
Mendel, Carlos [1 ]
机构：
[1] Pipca UnisinoS, Sao Leopoldo, Rio Grande Sul, Brazil
来源：
ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL ICSO: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION | 2008年
关键词：
Genetic Algorithms; electric power systems; Power System Restoration Planning Problem;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work reports the use of a Genetic Algorithm (GA) to solve the Power System Restoration Planning Problem (PSRP). The solution to the PSRP is described by a series of operations or a plan to be used by the Power System operator immediately on the occurrence of a blackout in the electrical power supply. Our GA uses new initialization and crossover operators based on the electrical power network, which are able to generate and maintain the plans feasible along GA runs. This releases the Power Flow program, which represents the most computer demanding component, from computing the fitness function of unfeasible individuals. Results for three different electrical power networks are shown: IEEE 14-Bus, IEEE 30-Bus and a large realistic system.
引用
收藏
页码：100 / 107
页数：8
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