Crow search algorithm for solving optimal power flow problem

被引：0
|
作者：
Saha, Anulekha [1 ]
Bhattacharya, Aniruddha [1 ]
Das, Priyanath [1 ]
Chakraborty, Ajoy Kumar [1 ]
机构：
[1] NIT Agartala, Dept Elect Engn, West Tripura 799055, Tripura, India
来源：
PROCEEDINGS OF THE 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES (ICECCT) | 2017年
关键词：
CSA; cost minimization; loss minimization; optimal power flow; BIOGEOGRAPHY-BASED OPTIMIZATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A new evolutionary optimization technique, crow search algorithm (CSA) is proposed in this paper for solving the optimal power flow (OPF) problem. The algorithm has been implemented on IEEE 30 bus test system to check its effectiveness in solving the OPF problem after satisfying various operational constraints. A comparative study of the results is presented in this paper. Analysis of the results reveals that the algorithm is effective in producing superior results for the
引用
收藏
页数：8
相关论文
共 50 条
  • [41] An ordinal optimization theory-based algorithm for solving the optimal power flow problem with discrete control variables
    Lin, SY
    Ho, YC
    Lin, CH
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (01) : 276 - 286
  • [42] A new colliding bodies optimization for solving optimal power flow problem in power system
    Pulluri, Harish
    Naresh, R.
    Sharma, Veena
    Preeti
    2016 IEEE 6TH INTERNATIONAL CONFERENCE ON POWER SYSTEMS (ICPS), 2016,
  • [43] Optimal power flow by BAT search algorithm for generation reallocation with unified power flow controller
    Rao, B. Venkateswara
    Kumar, G. V. Nagesh
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 68 : 81 - 88
  • [44] Solving Discrete Optimal Power Flow Problem via Power Gird Topology Exploitation
    Lange, Sebastian
    Sokolowski, Peter
    Yu, Xinghuo
    2022 IEEE 31ST INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2022, : 876 - 882
  • [45] An Improved Multi Objective Mayfly Algorithm for Solving Optimal Power Flow Problem Considering Different Loading Conditions
    Ramesh, S.
    Bhaskar, K. Vijaya
    Karunanithi, K.
    Ettappan, M.
    Chandrasekar, P.
    Raja, S. P.
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2022, 31 (10)
  • [46] Application of improved bat algorithm in optimal power flow problem
    Yanbin Yuan
    Xiaotao Wu
    Pengtao Wang
    Xiaohui Yuan
    Applied Intelligence, 2018, 48 : 2304 - 2314
  • [47] Application of improved bat algorithm in optimal power flow problem
    Yuan, Yanbin
    Wu, Xiaotao
    Wang, Pengtao
    Yuan, Xiaohui
    APPLIED INTELLIGENCE, 2018, 48 (08) : 2304 - 2314
  • [48] Self-Adaptive Differential Harmony Search Algorithm to Solve Optimal Power Flow with Emission Minimization Problem
    Arul, R.
    Velusami, S.
    Ravi, G.
    2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014), 2014, : 751 - 756
  • [49] Optimal power flow for distribution networks using gravitational search algorithm
    Jordan Radosavljević
    Miroljub Jevtić
    Nebojša Arsić
    Dardan Klimenta
    Electrical Engineering, 2014, 96 : 335 - 345
  • [50] Optimal power flow for distribution networks using gravitational search algorithm
    Radosavljevic, Jordan
    Jevtic, Miroljub
    Arsic, Nebojsa
    Klimenta, Dardan
    ELECTRICAL ENGINEERING, 2014, 96 (04) : 335 - 345
12345