Solution for Multi-Objective Reactive Power Optimization Using Fuzzy Guided Tabu Search

被引：0
|
作者：
D. Silas Stephen
P. Somasundaram
机构：
[1] College of Engineering Guindy,Department of Electrical and Electronics Engineering
[2] Anna University,undefined
来源：
Arabian Journal for Science and Engineering | 2012年 / 37卷
关键词：
Multi-objective reactive power optimization; Tabu search; Reactive power control; Multi-objective optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A fuzzy guided tabu search (FGTS) algorithm for solving multi-objective reactive power optimization problem is presented. The problem is formulated as a non-linear constrained multi-objective problem with three competing objectives, viz., minimization of losses, cost of VAR sources, and improvement of voltage profile. The proposed algorithm is based on the combination of fuzzy logic strategy incorporated in tabu search (TS). The standard IEEE 30-bus system and practical Indian 76-bus system are used as the test systems. The results are encouraging and indicate the viability of the proposed technique. The proposed method is capable of generating diverse and well-distributed pareto-optimal solutions.
引用
收藏
页码：2231 / 2241
页数：10
相关论文
共 50 条
  • [31] Multi-objective Optimal Power Flow Using Fuzzy Satisfactory Stochastic Optimization
    Muangkhiew, Prakaipetch
    Chayakulkheeree, Keerati
    INTERNATIONAL ENERGY JOURNAL, 2022, 22 (03): : 281 - 290
  • [32] Multi-objective optimal reactive power dispatch using multi-objective differential evolution
    Basu, M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 82 : 213 - 224
  • [33] Fuzzy multi-objective reactive power clearing considering reactive compensation sources
    Khazali, A. H.
    Kalantar, M.
    Khazali, Ali
    ENERGY, 2011, 36 (05) : 3319 - 3327
  • [34] A Multi-objective Optimization Method for Power System Reactive Power Dispatch
    Zhang, Congyu
    Chen, Minyou
    Luo, Ciyong
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 6 - 10
  • [35] Randomized Algorithm with Tabu Search for Multi-Objective Optimization of Large Containership Stowage Plans
    Liu, Fan
    Low, Malcolm Yoke Hean
    Hsu, Wen Jing
    Huang, Shell Ying
    Zeng, Min
    Win, Cho Aye
    COMPUTATIONAL LOGISTICS, 2011, 6971 : 256 - 272
  • [36] A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization
    Smairi, Nadia
    Siarry, Patrick
    Ghedira, Khaled
    OPTIMIZATION METHODS & SOFTWARE, 2016, 31 (01): : 204 - 231
  • [37] Solving Reactive Power Scheduling Problem using Multi-objective Crow Search Algorithm
    Salkuti, Surender Reddy
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (06) : 42 - 48
  • [38] Multi-objective Dynamic Reactive Power Optimization Based on OLTC and Reactive Power Compensation
    Cai, Xiang
    Huang, Qingjun
    Zhou, Xiudong
    Zhu, Yuan
    Sun, Shiyi
    Zhu, Junwei
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 825 - 831
  • [39] Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm
    Zhang, Wen
    Liu, Yutian
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2008, 30 (09) : 525 - 532
  • [40] Solving Multi-Objective Problems using SPEA2 and Tabu Search
    Karimi, Fatemeh
    Lotfi, Shahriar
    2014 IRANIAN CONFERENCE ON INTELLIGENT SYSTEMS (ICIS), 2014,
12345