Preventing Loop Flows Using Fuzzy Set Theory and Genetic Algorithms

被引：0
|
作者：
Dag, G. Ozdemir [1 ]
Bagriyanik, M. [2 ]
机构：
[1] Istanbul Tech Univ, Inst Informat, Istanbul, Turkey
[2] Istanbul Tech Univ, Dept Elect Engn, Istanbul, Turkey
来源：
2009 IEEE BUCHAREST POWERTECH, VOLS 1-5 | 2009年
关键词：
Fuzzy set theory; Genetic Algorithms (GAs); Interconnected Power Systems; Loop Flow; Power Flow;
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 the de-regulated power systems the loop flow control issue is becoming important. This is especially true when the transmission system is operated at or close to its limits. Thus, prevention and/or control of loop flows problem need be solved efficiently and fast. We suggest a fuzzy set theory based method using genetic algorithm to solve this problem. In the proposed method the constraints and objectives are handled in fuzzy environment and the optimization problem is solved using genetic algorithms. The proposed method is applied to IEEE 14 and 30 bus test systems and the results are presented.
引用
收藏
页码：1816 / +
页数：2
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