MULTI-OBJECTIVE OPTIMAL MECHANICAL POWER FOR TURBINE OF RIVER CURRENT POWER GENERATION USING FUZZY DOMINANT DIRECTED-GRAPH METHOD

被引：0
|
作者：
Kuo, Jian-Long [1 ]
Chao, Kai-Lun [1 ]
机构：
[1] Natl Kaohsiung First Univ Sci & Technol, Dept Mech & Automat Engn, Kaohsiung 811, Taiwan
来源：
TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING | 2013年 / 37卷 / 03期
关键词：
river current (RC); power generation; Multiple Performance Characteristics Index (MPCI); fuzzy dominant directed graph (fuzzy DDG); multi-objective optimization; ENERGY-CONVERSION;
D O I：
10.1139/tcsme-2013-0067
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The fuzzy dominant directed graph (fuzzy DDG) method is proposed in this paper to realize the multi-objective optimal mechanical turbine power of a river current (RC) power generation system. The testing case illustrates the problem with vertex S/N ratio values included. Fuzzy potential values are derived. The experimental results are provided to verify the validity of the fuzzy-DDG method. It is clear that this method is applicable; it easily and quickly finds the optimal solution.
引用
收藏
页码：797 / 805
页数：9
相关论文
共 50 条
  • [21] FUZZY MULTI-OBJECTIVE OPTIMAL POWER FLOW USING GENETIC ALGORITHMS APPLIED TO ALGERIAN ELECTRICAL NETWORK
    Salhi, Ahmed
    Naimi, Djemai
    Bouktir, Tarek
    ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2013, 11 (06) : 443 - 454
  • [22] Multi-Objective Optimal Power Flow With Integration of Renewable Energy Sources Using Fuzzy Membership Function
    Ilyas, Muhammad Arsalan
    Abbas, Ghulam
    Alquthami, Thamer
    Awais, Muhammad
    Rasheed, Muhammad Babar
    IEEE ACCESS, 2020, 8 : 143185 - 143200
  • [23] Magnetic fields mitigation by using multi-objective optimal power flow
    Ippolito, L
    Siano, P
    2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND SERVICES, 2003, : 600 - 605
  • [24] Multi-objective optimal power flow using grasshopper optimization algorithm
    Mandal, Barun
    Roy, Provas Kumar
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2024, 45 (02): : 623 - 645
  • [25] Multi-Objective Optimal Power Flow Using Efficient Evolutionary Algorithm
    Reddy S.S.
    Bijwe P.R.
    Reddy, S. Surender (salkuti.surenderreddy@gmail.com), 2017, Walter de Gruyter GmbH (18)
  • [26] Solving multi-objective optimal power flow Using differential evolution
    Varadarajan, M.
    Sworup, K. S.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2008, 2 (05) : 720 - 730
  • [27] Optimal reactive power flow using multi-objective mathematical programming
    Ara, A. Lashkar
    Kazemi, A.
    Gahramani, S.
    Behshad, M.
    SCIENTIA IRANICA, 2012, 19 (06) : 1829 - 1836
  • [28] A multi-objective optimal power flow using particle swarm optimization
    Hazra, J.
    Sinha, A. K.
    EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2011, 21 (01): : 1028 - 1045
  • [29] Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm
    Zhu, Junhua
    Yu, Xiaobing
    Wang, Feng
    Mao, Yaqi
    SWARM AND EVOLUTIONARY COMPUTATION, 2025, 93
  • [30] Applications of Novel Hybrid Bat Algorithm With Constrained Pareto Fuzzy Dominant Rule on Multi-Objective Optimal Power Flow Problems
    Chen, Gonggui
    Qian, Jie
    Zhang, Zhizhong
    Sun, Zhi
    IEEE ACCESS, 2019, 7 (52060-52084) : 52060 - 52084
12345