Modified Artificial Killer Whale Optimization for Optimal Power Flow

被引：0
|
作者：
Saurabh, Kumar [1 ]
Gupta, Shweta [1 ]
机构：
[1] Polvent Control Engineers, Dept Engn, New Delhi, India
来源：
2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2017年
关键词：
modified artificial whale optimization; particle swarm optimization; optimal power flow; voltage control;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This research article presents a nature inspired meta heuristic approach to deal with optimal power flow (OPF) problem solution. The modified artificial killer whale optimization (MAKWO) algorithm is employed for optimal setting of controlling quantities of OPF. This optimization technique is inspired from hunting procedure of killer whales. The presented method has been employed on IEEE 9-bus, IEEE 14-bus and IEE 30-bus system. Simulation is carried out on MATLAB R2016a platform. The results have been juxtaposed with particle swarm optimization (PSO) technique and an old conventional technique, which recommends that the presented technique is superior and computationally efficient than other used techniques.
引用
收藏
页数：7
相关论文
共 50 条
  • [21] Optimal Power Flow Solution Using Modified Flower Pollination Algorithm
    Regalado, Jose A.
    Barocio E, Emilio
    Cuevas, Erick
    2015 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC), 2015,
  • [22] Cuckoo Optimization Algorithm for Optimal Power Flow
    Tu Nguyen Le Anh
    Dieu Ngoc Vo
    Ongsakul, Weerakorn
    Vasant, Pandian
    Ganesan, Timothy
    PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 1, 2015, : 479 - 493
  • [23] Parameter Optimization of Differential Evolution and Particle Swarm Optimization in the Context of Optimal Power Flow
    Sennewald, Tom
    Linke, Franz
    Reck, Jakob
    Westermann, Dirk
    2020 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE 2020): SMART GRIDS: KEY ENABLERS OF A GREEN POWER SYSTEM, 2020, : 1045 - 1049
  • [24] A hybrid whale algorithm and pattern search technique for optimal power flow problem
    Bentouati, B.
    Chaib, L.
    Chettih, S.
    PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), 2016, : 1048 - 1053
  • [25] Artificial Dynamic Theory based Optimal Power Flow
    Tiwari, Anamika
    Mohapatra, Abheejeet
    Sahoo, Soumya Ranjan
    PROCEEDINGS OF 2019 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE), 2019,
  • [26] Optimal Power Flow in Power Networks with TCSC Using Particle Swarm Optimization Technique
    Monal, Patil
    Heistrene, Leena
    Pandya, Vivek
    ADVANCES IN ELECTRIC POWER AND ENERGY INFRASTRUCTURE, 2020, 608 : 91 - 101
  • [27] A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
    Niu, Ming
    Wan, Can
    Xu, Zhao
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2014, 2 (04) : 289 - 297
  • [28] Dynamic fitness-distance balance-based artificial rabbits optimization algorithm to solve optimal power flow problem
    Bakir, Huseyin
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 240
  • [29] Solving optimal power flow problems with improved particle swarm optimization
    Yang, Bo
    Chen, Yunping
    Zhao, Zunlian
    Han, Qiye
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 7457 - 7461
  • [30] Optimal Power Flow Solution Using Particle Swarm Optimization Algorithm
    Turkay, Belgin Emre
    Cabadag, Rengin Idil
    2013 IEEE EUROCON, 2013, : 1412 - 1418
12345