Improved Biogeography Based Optimization Technique for Loss Minimization in Power Distribution Networks

被引:0
|
作者
Angalaeswari, S. [1 ]
Arunagiri, A. [2 ]
Jamuna, K. [1 ]
机构
[1] VIT Univ, Sch Elect Engn, Chennai Campus, Madras, Tamil Nadu, India
[2] Yanbu Ind Coll, Dept Elect Power Engn Technol, Jubail Ind City, Saudi Arabia
关键词
Distribution Generation; Improved Biogeography Based Optimization; Loss Minimization; Power Distribution Networks; RECONFIGURATION; PLACEMENT;
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
Biogeography is defined as the investigation of dispersion of biological species in ecosystem and it can analogous to the mathematical optimization problems in the field of engineering, medical science, economic science, sport, business enterprise, town future planning and so on. The proposed Improved Biogeography Based Optimization (IBBO) algorithm is roused on fundamental basis of scientific mechanisms of actual biogeography. This paper purports the IBBO technique to identify the optimal power rating and position of distribution generation (DG) in radial distribution networks. Since the distribution line loss minimization plays a vital role in economic operation of power system, hence the distribution line active power loss is elite as the target fitness (objective) function for the proposed optimization problem. The simulation studies are implemented in MATLAB software for IEEE 33-bus and IEEE 69-bus radial distribution test networks. Results incurred from the purposed approach prove that better active power loss reduction and improved node voltage profiles when compared with other existing methods available in the literature.
引用
收藏
页码:26 / 31
页数:6
相关论文
共 50 条
  • [1] IMPROVED METHOD FOR LOSS MINIMIZATION IN DISTRIBUTION NETWORKS
    BOROZAN, V
    RAJICIC, D
    ACKOVSKI, R
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1995, 10 (03) : 1420 - 1425
  • [2] Stochastic Loss Minimization for Power Distribution Networks
    Kekatos, Vassilis
    Wang, Gang
    Giannakis, Georgios B.
    [J]. 2014 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2014,
  • [3] Active and Reactive Power Compensation in Distribution System Based on Biogeography Based Optimization Technique
    Tom, Tissa
    Scaria, Rinku
    [J]. 2013 INTERNATIONAL CONFERENCE ON CONTROL COMMUNICATION AND COMPUTING (ICCC), 2013, : 216 - 220
  • [4] A price-based approach for voltage regulation and power loss minimization in power distribution networks
    Jafarian, Matin
    Scherpen, Jacquelien
    Aiello, Marco
    [J]. 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 680 - 685
  • [5] Using ant colony optimization for loss minimization in distribution networks
    Ahuja, A
    Pahwa, A
    [J]. 37TH NORTH AMERICAN POWER SYMPOSIUM, PROCEEDINGS, 2005, : 470 - 474
  • [6] Optimization model for loss minimization in a deregulated power distribution network
    Davidson, IE
    Ijumba, NM
    [J]. 2002 IEEE AFRICON, VOLS 1 AND 2: ELECTROTECHNOLOGICAL SERVICES FOR AFRICA, 2002, : 887 - 894
  • [7] Whale Optimization Algorithm-Based DG Allotment for Loss Minimization of Distribution Networks
    Mukherjee, Suvabrata
    Roy, Provas Kumar
    [J]. INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING, 2022, 13 (01)
  • [8] Optimal VAR control for improvements in voltage profiles and for real power loss minimization using Biogeography Based Optimization
    Roy, P. K.
    Ghoshal, S. P.
    Thakur, S. S.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) : 830 - 838
  • [9] A New Approach for Power Loss Minimization in Radial Distribution Networks
    Nawaz, Sarfaraz
    Sharma, Manish
    Tandon, Ankush
    [J]. APPLICATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN ENGINEERING, VOL 2, 2019, 697 : 1 - 7
  • [10] Particle Swarm Optimization for the Minimization of Power Losses in Distribution Networks
    Abugri, Joseph B.
    Karam, Marc
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY - NEW GENERATIONS, 2015, : 73 - 78