Transmission congestion management with FACTS devices using BBO Algorithm

被引:0
|
作者
Raw, Brijesh Kumar [1 ]
Kumar, Sanjay [1 ]
Kumar, Lalit [1 ]
机构
[1] NIT Jamshedpur, Dept Elect & Elect Engn, Jharkhand, India
关键词
active power loss; Biogeography-based optimization (BBO); operating cost; reactive power planning; REACTIVE POWER DISPATCH; SYSTEMS; FLOW;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
this paper presents Biogeography-based optimization (BBO) techniques for the excellent location to achieve minimum transmission active power loss, optimal cost, and optimal bus voltage. The proposed methods are authentic in the IEEE-30 bus system with power flow equation using a Newton-Raphson algorithm. The execution of IEEE-30 bus system is computed on different reactive loading condition. Here we are present the BBO and PSO's comparative result using distinct optimization techniques. In the end, BBO is best for the transmission of active power loss minimization and total cost of the system at the various loading for the IEEE-30 bus system as compared to PSO (Particle Swarm optimization). Biogeography-base optimization is the best solution, is to reduce active power loss, system operating cost including the cost of FACTS devices and congestion in the transmission network.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Congestion management using FACTS devices
    Siddiqui A.S.
    Deb T.
    International Journal of System Assurance Engineering and Management, 2014, 5 (04) : 618 - 627
  • [2] Congestion Management of Transmission Lines by FACTS Devices Using Krill Herd Technique
    Kaur, Kulwinder
    Kumar, Sanjay
    Kumar, Niranjan
    Khatua, Kaushik
    2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2017,
  • [3] Congestion management using demand response and FACTS devices
    Yousefi, A.
    Nguyen, T. T.
    Zareipour, H.
    Malik, O. P.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 37 (01) : 78 - 85
  • [4] Series FACTS devices in financial transmission rights auction for congestion management
    Wang, X.
    Song, Y.H.
    Lu, Q.
    Sun, Y.Z.
    IEEE Power Engineering Review, 2001, 21 (11): : 41 - 44
  • [5] Congestion management in deregulated power system using FACTS devices
    Reddy, Keshi Reddy Saidi
    Padhy, Narayana Prasad
    Patel, R. N.
    2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2006, : 676 - +
  • [6] Optimal location of FACTS devices for congestion management
    Singh, SN
    David, AK
    ELECTRIC POWER SYSTEMS RESEARCH, 2001, 58 (02) : 71 - 79
  • [7] Genetic algorithm-based fuzzy multi-objective approach to congestion management using FACTS devices
    Mohsen Gitizadeh
    Mohsen Kalantar
    Electrical Engineering, 2009, 90 : 539 - 549
  • [8] Genetic algorithm-based fuzzy multi-objective approach to congestion management using FACTS devices
    Gitizadeh, Mohsen
    Kalantar, Mohsen
    ELECTRICAL ENGINEERING, 2009, 90 (08) : 539 - 549
  • [9] Combined active and reactive congestion management with FACTS devices
    Phichaisawat, S
    Song, YH
    Wang, XL
    Wang, XF
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2002, 30 (12) : 1195 - 1205
  • [10] Establishing pricing schemes for FACTS devices in congestion management
    Huang, GM
    Yan, P
    2003 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-4, CONFERENCE PROCEEDINGS, 2003, : 1025 - 1030