Research on reactive power optimization of regional power system based on immune genetic algorithm

被引:0
|
作者
Hao, Yuanzhao [1 ]
Wang, Chao [2 ]
Zhang, Zhenan [1 ]
Liu, Wei [1 ]
机构
[1] State Grid Henan Elect Power Corp Res Inst, Zhengzhou, Peoples R China
[2] Zhengzhou Univ, Zhengzhou 450052, Peoples R China
关键词
Voltage optimization; power system; reactive power consumption; load properties;
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
Voltage optimization adjustment and management is the basic measures to ensure the voltage quality of power grid and to realize the important means of economic operation of the system. In the operation of the power system, because of the difference of each substation load level and load properties, led to a part of the substation reactive power capacity is insufficient and the other part of reactive power is excessive. It is easy to cause that system voltage is too low or too high, the voltage qualified rate and, the stable and economic operation of power system are affected. In this paper, a new reactive power optimization method is made based on immune genetic algorithm in regional power system, which could reduce system reactive power loss as well as keep the voltage qualified.
引用
收藏
页码:558 / 561
页数:4
相关论文
共 50 条
  • [1] Study of reactive power optimization based on immune genetic algorithm
    Huang, W
    Xu, CL
    Zhang, JH
    Hu, SA
    [J]. 2003 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE & EXPOSITION, VOLS 1-3, CONFERENCE PROCEEDINGS: BLAZING TRAILS IN ENERGY DELIVERY AND SERVICES, 2003, : 186 - 190
  • [2] Research of distributed parallel immune genetic algorithm in reactive power optimization
    Liu, Yongrnei
    Liu, Keyan
    Sheng, Wanxing
    [J]. PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 177 - 182
  • [3] A Genetic Algorithm for Reactive Power Optimization of Power System
    蔡兴国
    刘林强
    柳焯
    郭冬梅
    [J]. Journal of Harbin Institute of Technology(New series), 1998, (02) : 63 - 66
  • [4] Research on Reactive Power Optimization Based on Immunity Genetic Algorithm
    Liu, Keyan
    Sheng, Wanxing
    Li, Yunhua
    [J]. INTELLIGENT COMPUTING, PART I: INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I, 2006, 4113 : 600 - 611
  • [5] Power System Reactive Power Optimization Based on the Immune Ant Colony Algorithm
    Cao, An-zhao
    Xia, Xin-yun
    Li, Ling-chun
    [J]. 2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 4702 - 4705
  • [6] Reactive power optimization based on Genetic Algorithm
    Zhang, HB
    Zhang, LZ
    Meng, FL
    [J]. POWERCON '98: 1998 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - PROCEEDINGS, VOLS 1 AND 2, 1998, : 1448 - 1453
  • [7] Reactive power optimization based on adaptive immune algorithm
    Lin Jikeng
    Wang Xudong
    Zheng Weihong
    [J]. IMECS 2008: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2008, : 1499 - 1503
  • [8] Reactive Power Optimization Based on Adaptive Immune Algorithm
    Lin, Jikeng
    Wang, Xudong
    [J]. INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2009, 10 (04):
  • [9] Simulation Research on Decomposition-Based intelligent optimization algorithm in Power System Reactive Power Optimization
    Kang Jian
    Jia Dehai
    Ning Lianhui
    Zhang Haifeng
    Zheng Bo
    [J]. 2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,
  • [10] Research on reactive power optimization based on adaptive genetic simulated annealing algorithm
    Liu, Keyan
    Sheng, Wanxing
    Li, Yunhua
    [J]. 2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 1625 - +