Application of a fuzzy logic based adaptive genetic algorithm in unit commitment

被引：0
|
作者：
Su, Xiaolin [1 ]
机构：
[1] Tsing Hua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The paper presents an improved adaptive genetic algorithm based on fuzzy logic, and applies it to solve unit commitment problem in power systems. The presented method uses the fuzzy logic system to control crossover ratio, mutation ratio and crossover position of the standard genetic algorithm during population evolution. The method has characteristics of fast search, easy convergence and strong robustness. Unit commitment of example power systems is solved by the proposed method. The calculation results demonstrate the technique is efficient and prospective.
引用
收藏
页码：396 / 400
页数：5
相关论文
共 50 条
  • [31] Application of Double Matrix Hybrid Coded Genetic Algorithm in Unit Commitment
    Chang Wen-Ping
    Luo Xian-Jue
    2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 886 - 891
  • [32] Fuzzy-logic adaptive genetic algorithm (FLAGA) in optical design
    Agurok, IP
    Kostrzewski, AA
    Jannson, TP
    APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION V, 2002, 4787 : 179 - 185
  • [33] A genetic algorithm approach to price-based unit commitment
    Solanki, Jignesh
    Khushalani, Sarika
    Srivastava, Anurag
    2006 38TH ANNUAL NORTH AMERICAN POWER SYMPOSIUM, NAPS-2006 PROCEEDINGS, 2006, : 425 - +
  • [34] Power System Unit Commitment Based on Quantum Genetic Algorithm
    Ma, Xin
    ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, PT I, 2011, 152 : 455 - 461
  • [35] A unit commitment problem by using genetic algorithm based on unit characteristic classification
    Senjyu, T
    Yamashiro, H
    Uezato, K
    Funabashi, T
    2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, : 58 - 63
  • [36] New metaheuristic methodology for solving security constrained hydrothermal unit commitment based on adaptive genetic algorithm
    Postolov, Borce
    Iliev, Atanas
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 134
  • [37] New adaptive α-β tracking filter algorithm based on fuzzy logic
    Li, Liang-Qun
    Xie, Wei-Xin
    Zhang, Zhi-Chao
    Li, L.-Q. (lqli@szu.edu.cn), 2013, Chinese Institute of Electronics (35): : 244 - 249
  • [38] An adaptive fuzzy logic based handoff algorithm for hybrid networks
    Majlesi, A
    Khalaj, BH
    2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II, 2002, : 1223 - 1228
  • [39] Genetic algorithm-based adaptive weighted fuzzy logic control (awFLC) for traction power control
    Ekmekci, Dursun
    Shahbazova, Shahnaz N.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 43 (06) : 6909 - 6916
  • [40] Optimizing fuzzy logic with genetic algorithm
    Uchibori, A
    Miyajima, K
    Shidama, Y
    Yamaura, H
    1998 SECOND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ELECTRONIC SYSTEMS, KES '98, PROCEEDINGS, VOL 2, 1998, : 126 - 131
12345