Genetic Algorithms And Its Application To Economic Load Dispatch

被引：0
|
作者：
Borana, Kavita [1 ]
机构：
[1] Mody Inst Technol & Sci, Elect & Elect Dept, Laxmangarh, Rajasthan, India
来源：
INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) | 2010年 / 1324卷
关键词：
Genetic Algorithm; Economic Load Dispatch; Unit commitment;
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：
Genetic Algorithm (GA) is a search method that simulates the process of natural selection and it attempts to find a good solution to some problem by randomly generating a collection of potential solutions to the problem and then manipulating those solutions using genetic operators. Through selection, mutation and re-combination (crossover) operations, better solutions are hopefully generated out of the current set of potential solutions. This process continues until an acceptable solution is found. GA is becoming popular to solve the optimization problems mainly because of its robustness in finding optimal solution and ability to provide near optimal solution close to global optimum. The ELD approach is tested on sample 3-generator system with the load of 24 hours.
引用
收藏
页码：239 / 243
页数：5
相关论文
共 50 条
  • [31] Economic Load Dispatch Using Improved Particle Swarm Optimization Algorithms
    Kumar, Nimish
    Nangia, Uma
    Sahay, Kishan Bhushan
    2014 6TH IEEE POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2014,
  • [32] Modified Particle Swarm Optimization Algorithms for Solving Economic Load Dispatch
    Alzubi, Ibrahim
    Al-Masri, Hussein M. K.
    Abuelrub, Ahmad
    3RD INTERNATIONAL CONFERENCE ON SMART GRID AND RENEWABLE ENERGY (SGRE), 2022,
  • [33] Economic emission load dispatch using hybrid genetic algorithm
    Thenmozhi, N
    Mary, D
    TENCON 2004 - 2004 IEEE REGION 10 CONFERENCE, VOLS A-D, PROCEEDINGS: ANALOG AND DIGITAL TECHNIQUES IN ELECTRICAL ENGINEERING, 2004, : C476 - C479
  • [34] Artificial life system and its application to multiple-fuel economic load dispatch problem
    Satoh, T
    Kuwabara, H
    Kanezashi, M
    Nara, K
    CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2002, : 1432 - 1437
  • [35] FAST APPROACH TO ARTIFICIAL NEURAL-NETWORK TRAINING AND ITS APPLICATION TO ECONOMIC LOAD DISPATCH
    SINGH, G
    SRIVASTAVA, SC
    KALRA, PK
    KUMAR, DMV
    ELECTRIC MACHINES AND POWER SYSTEMS, 1995, 23 (01): : 13 - 24
  • [36] Application of genetic algorithm on economic dispatch of power systems
    He, Da-Kuo
    Wang, Fu-Li
    Mao, Zhi-Zhong
    Li, Hong-Ru
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (04): : 890 - 892
  • [37] Application of genetic algorithm in economic dispatch of power systems
    Key Laboratory of Process Industry Automation of Liaoning Province, Northeastern University, Shenyang 110004, China
    Dongbei Daxue Xuebao, 2006, 11 (1181-1184):
  • [38] Application of Cuckoo Search Algorithm in Deregulated Economic Load Dispatch
    Valder, John
    Pius, A. J. Pinto
    INTELLIGENT AND EFFICIENT ELECTRICAL SYSTEMS, 2018, 446 : 167 - 174
  • [39] Application of Hurricane Search Algorithm on Economic Load Dispatch problem
    Ghorui, S. K.
    Ghosh, Roshan
    Mondal, Saikat
    Ghosh, Saptam
    Dasgupta, Koustav
    2018 2ND INTERNATIONAL CONFERENCE ON POWER, ENERGY AND ENVIRONMENT: TOWARDS SMART TECHNOLOGY (ICEPE), 2018,
  • [40] Application of Particle Swarm Optimization for economic load dispatch problems
    Sudhakaran, M.
    Raj, P. Ajay-D -Vimal
    Palanivelu, T. G.
    2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, 2007, : 643 - +
12345