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
相关论文
共 50 条
  • [41] Fuzzy assembly line balancing using genetic algorithms
    Ashikaga Inst of Technology, Ashikaga, Japan
    Comput Ind Eng, 3-4 (631-634):
  • [42] Image segmentation using fuzzy logic and genetic algorithms
    Abdulghafour, M
    WSCG'2003, VOL 11, NO 1, CONFERENCE PROCEEDINGS, 2003, : 19 - 26
  • [43] DESIGN OF A MANUFACTURING FACILITY LAYOUT WITH A CLOSED LOOP CONVEYOR WITH SHORTCUTS USING QUEUEING THEORY AND GENETIC ALGORITHMS
    Lasrado, Vernet
    Nazzal, Dima
    PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC), 2011, : 1959 - 1970
  • [44] A fuzzy classifier using genetic algorithms for biological data
    Diederich, J
    Fortuner, R
    18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1999, : 680 - 684
  • [45] Fuzzy assembly line balancing using genetic algorithms
    Gen, M
    Tsujimura, Y
    Li, YX
    COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 31 (3-4) : 631 - 634
  • [46] Fuzzy rules acquisition using interactive genetic algorithms
    Onisawa, T
    Fujihara, Y
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 2887 - 2892
  • [47] Data fusion using fuzzy measures and Genetic Algorithms
    Tong, SH
    Shen, Y
    Liu, ZY
    IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL, 2000, : 1113 - 1117
  • [48] Fuzzy classifier using genetic algorithms for biological data
    Univ of California, Davis, United States
    Annu Conf North Am Fuzzy Inf Process Soc NAFIPS, (680-684):
  • [49] Design of optimum fuzzy controller using genetic algorithms
    Eksin, I
    Erol, OK
    MELECON '96 - 8TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, VOLS I-III: INDUSTRIAL APPLICATIONS IN POWER SYSTEMS, COMPUTER SCIENCE AND TELECOMMUNICATIONS, 1996, : 186 - 190
  • [50] Fitting fuzzy membership functions using genetic algorithms
    Lambert-Torres, G
    Carvalho, MA
    da Silva, LEB
    Pinto, JOP
    SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 387 - 392
12345