Optimized DG Placement in Radial Distribution System with Reconfiguration and Capacitor Placement Using Genetic Algorithm

被引:0
|
作者
Saonerkar, A. K. [1 ]
Bagde, B. Y. [1 ]
机构
[1] Yeshwantrao Chavan Coll Engn, Dept Elect Engn, Nagpur, Maharashtra, India
关键词
Power loss; Network reconfiguration; Capacitor placement; Distributed generation (DG); Radial distribution system (RDS); Genetic algorithm (GA);
D O I
10.1109/icaccct.2014.7019263
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents minimization of total power loss, improvement in bus voltage profile and branch currents using network reconfiguration, capacitor banks and optimum number of distributed generation (DG) units placement in radial distribution system (RDS). Genetic algorithm (GA) is used to determine highly non-linear problem of calculating total power loss of RDS which are subjected to operational equality and inequality constraints. The effectiveness of this method is illustrated by comparing the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with different case studies.
引用
收藏
页码:1077 / 1083
页数:7
相关论文
共 50 条
  • [1] Optimized Distribution Loss Evaluation in Ring main Distribution System with DG Placement, Reconfiguration and Capacitor Placement Using GA
    Saonerkar, A. K.
    Tiwari, S.
    Pande, A. S.
    Sharma, P. G.
    Bagde, B. Y.
    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 955 - 961
  • [2] A Study on DG and Capacitor Placement in Radial Distribution System
    Mohapatra, A.
    Behera, S.
    Nayak, S.
    Panigrahi, B.
    [J]. IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES 2012), 2012,
  • [3] Optimal Capacitor Placement in Radial Distribution System Using Genetic Algorithm Method
    Delkhooni, Mahdis
    Ayan, Onur
    Purlu, Mikail
    Turkay, Belgin
    [J]. 2017 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2017, : 1491 - 1495
  • [4] Oppositional arithmetic optimization algorithm for network reconfiguration and simultaneous placement of DG and capacitor in radial distribution networks
    Dey, Indrajit
    Roy, Provas Kumar
    [J]. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2024, 37 (05)
  • [5] Solving the capacitor placement problem in a radial distribution system using an adaptive genetic algorithm
    Hatta, K
    Suzuki, M
    Wakabayashi, S
    Koide, T
    [J]. PARALLEL PROBLEM SOLVING FROM NATURE - PPSN V, 1998, 1498 : 1028 - 1037
  • [6] Simultaneous Reconfiguration and Optimal Capacitor Placement Using Adaptive Whale Optimization Algorithm for Radial Distribution System
    Babu, M. Ramesh
    Kumar, C. Venkatesh
    Anitha, S.
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2021, 16 (01) : 181 - 190
  • [7] Simultaneous Reconfiguration and Optimal Capacitor Placement Using Adaptive Whale Optimization Algorithm for Radial Distribution System
    M. Ramesh Babu
    C. Venkatesh Kumar
    S. Anitha
    [J]. Journal of Electrical Engineering & Technology, 2021, 16 : 181 - 190
  • [8] Optimal Placement of DG in Distribution System Using Genetic Algorithm
    Sattianadan, D.
    Sudhakaran, M.
    Dash, S. S.
    Vijayakumar, K.
    Ravindran, P.
    [J]. SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT II (SEMCCO 2013), 2013, 8298 : 639 - +
  • [9] Optimal Capacitor Placement in Distribution System Using Genetic Algorithm
    Lohia, Sushma
    Mahela, Om Prakash
    Ola, Sheesh Ram
    [J]. 2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON), 2016,
  • [10] Reconfiguration and Capacitor Placement of Radial Distribution Systems by Modified Flower Pollination Algorithm
    Namachivayam, Gnanasekaran
    Sankaralingam, Chandramohan
    Perumal, Sathish Kumar
    Devanathan, Sudhakar Thirumalaivasal
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2016, 44 (13) : 1492 - 1502