Application of multi-objective optimization to voltage and reactive power control

被引:0
|
作者
Okakura H. [1 ]
Aoki H. [1 ]
机构
[1] Department of Electrical, Electrical and Electronics Engineering, Tokai University, Hiratuka 259-1292, 1117, Kitakaname
关键词
Meta-heuristic; Multi-objective optimization; Tap position; Trade-off; Voltage and reactive power control;
D O I
10.1541/ieejpes.130.320
中图分类号
学科分类号
摘要
This paper presents an application of multi-objective optimization methods for voltage and reactive power control (VQC) taking account of an operation margin. Multi-objective optimization has been developed based on genetic algorithms (Gas) with the characteristic of multi points search. An operation margin is considered to minimize generator reactive outputs and tap potions difference from the neutral. To make clear usability of the proposed method, results of applying the proposed method to a 15 bus system model and a 118 bus system model are compared to result of studies using the conventional weighting coefficients, and effectiveness of the proposed method is discussed. © 2010 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:320 / 328+5
相关论文
共 50 条
  • [1] Multi-objective reactive power optimization considering voltage stability
    Wang, Qin
    Fang, Gefei
    [J]. Dianli Xitong Zidonghue/Automation of Electric Power Systems, 23 (03):
  • [2] Multi-objective reactive power and voltage optimization for distribution network
    Zheng, Weimin
    Xu, Yu
    Zhou, Yuyong
    Sun, Ke
    Chen, Xiaogang
    Wang, Gang
    Zhang, Luliang
    Chen, Jiajia
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2216 - 2221
  • [3] Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems
    Anauth, S. B. D. V. P. S.
    King, Robert T. F. Ah
    [J]. SIMULATED EVOLUTION AND LEARNING, 2010, 6457 : 424 - 434
  • [4] Voltage and reactive power correlation in multi-objective optimization of an offshore grid
    Raza, Muhammad
    [J]. AUTOMATIKA, 2021, 62 (3-4) : 454 - 470
  • [5] A fuzzy multi-objective approach to optimal voltage reactive power control
    Xu, GG
    Wang, X
    Yu, EK
    [J]. POWERCON '98: 1998 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - PROCEEDINGS, VOLS 1 AND 2, 1998, : 1443 - 1447
  • [6] Voltage reactive power control with multi objective particle swarm optimization
    Sugimoto, Kazuki
    Ishigame, Atsushi
    Yasuda, Keiichiro
    [J]. IEEJ Transactions on Power and Energy, 2009, 129 (10) : 1275 - 1276
  • [7] Multi-objective Oriented Search Algorithm for Multi-objective Reactive Power Optimization
    Zhang, Xuexia
    Chen, Weirong
    [J]. EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2009, 5755 : 232 - 241
  • [8] Multi-objective reactive power compensation with voltage security
    Ramos, R
    Vallejos, J
    Barán, B
    [J]. 2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, 2004, : 302 - 307
  • [9] Optimal voltage and reactive power control based on multi-objective Genetic Algorithm
    Dehkordi, Behzad Mirzaeian
    [J]. 2006 IEEE International Conference on Power Electronic, Drives and Energy Systems, Vols 1 and 2, 2006, : 545 - 549
  • [10] Multi-objective probabilistic reactive power and voltage control with wind site correlations
    Zare, Mohsen
    Niknam, Taher
    Azizipanah-Abarghooee, Rasoul
    Amiri, Babak
    [J]. ENERGY, 2014, 66 : 810 - 822