Implementation and Evaluation of Grey Wolf Optimization Algorithm on Power System Stability Enhancement

被引：0
|
作者：
Alahmed, Ahmed [1 ]
Taiwo, Salman [1 ]
Abido, Mohammed [1 ,2 ]
机构：
[1] King Fahd Univ Petr & Minerals, Elect Engn Dept, Dhahran, Saudi Arabia
[2] KA CARE Energy Res & Innovat Ctr, Dhahran, Saudi Arabia
来源：
2019 IEEE 10TH GCC CONFERENCE & EXHIBITION (GCC) | 2019年
关键词：
Meta-heuristic techniques; evolutionary algorithm; Grey wolf optimization; constrained optimization; nature-inspired optimization; real-coded genetic algorithm; differential evolution method;
D O I：
10.1109/GCC45510.2019.1570512680
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The increasing complexity of today's applications has surfaced the importance of meta-heuristic techniques which can deal with multi-variable, multi-constraints, highly non-linear and non-smooth problems. Their superior performance and immunity of getting trapped in local maxima or minima made them eminent when compared with classical optimization methods, which have several limitations. In this context, implementation and evaluation of Grey Wolf Optimization Algorithm (GWOA) on power system stability enhancement will be carried. The objective function is to maximize the minimum damping ratio of the controller to enhance stability and ensure faster damping. The results will be then compared with other evolutionary techniques, particularly Real-coded Genetic Algorithm (RCGA) and Differential Evolution (DE) method. The simulation results will be established using MATLAB.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] An improved grey wolf optimization algorithm for the maximum power point tracker of pv system under various illumination conditions
    Wang Z.-H.
    [J]. International Journal of Electrical Engineering, 2020, 27 (06): : 209 - 219
  • [42] Combined heat and power dispatch by grey wolf optimization
    Jayakumar, N.
    Subramanian, S.
    Ganesan, S.
    Elanchezhian, E. B.
    [J]. INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2015, 9 (04) : 523 - 546
  • [43] Application of grey wolf optimization algorithm for load frequency control in multi-source single area power system
    Paliwal, Nikhil
    Srivastava, Laxmi
    Pandit, Manjaree
    [J]. EVOLUTIONARY INTELLIGENCE, 2022, 15 (01) : 563 - 584
  • [44] Implementation of grey wolf optimization controller for multiple humanoid navigation
    Muni, Manoj K.
    Parhi, Dayal R.
    Kumar, Priyadarshi Biplab
    [J]. COMPUTER ANIMATION AND VIRTUAL WORLDS, 2020, 31 (03)
  • [45] A modified grey wolf optimization algorithm to solve global optimization problems
    Gopi, S.
    Mohapatra, Prabhujit
    [J]. OPSEARCH, 2024,
  • [46] Multi-stage intrusion detection system aided by grey wolf optimization algorithm
    Chatterjee, Somnath
    Shaw, Vaibhav
    Das, Ranit
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (03): : 3819 - 3836
  • [47] Grey Wolf Optimization Based MPPT Algorithm for Solar PV System with SEPIC Converter
    Atici, Koray
    Sefa, Ibrahim
    Altin, Necmi
    [J]. 2019 4TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND THEIR APPLICATIONS (ICPEA), 2019,
  • [48] Maximizing Solar Potential Using the Differential Grey Wolf Algorithm for PV System Optimization
    Nagarathinam, Ezhilmathi
    Devaraju, Buvana
    Jayamoorthy, Karthiyayini
    Radhakrishnan, Padmavathi
    Chandramohan, Santhana Lakshmi
    Perumal, Vijayakumar
    Balakrishnan, Karthikeyan
    [J]. Energy Engineering: Journal of the Association of Energy Engineering, 2024, 121 (08): : 2129 - 2142
  • [49] Unmanned Aerial System Trajectory Tracking Based on Diversified Grey Wolf Optimization Algorithm
    Priya, Parul
    Kamlu, Sushma S.
    [J]. IEEE ACCESS, 2023, 11 : 145975 - 145988
  • [50] A hybrid modified grey wolf optimization-sine cosine algorithm-based power system stabilizer parameter tuning in a multimachine power system
    Devarapalli, Ramesh
    Bhattacharyya, Biplab
    [J]. OPTIMAL CONTROL APPLICATIONS & METHODS, 2020, 41 (04): : 1143 - 1159
12345