Allocation of Distributed Generators Using Parallel Grey Wolf Optimization

被引：3
作者：
Younesi, Soheil [1 ]
Ahmadi, Bahman [1 ]
Ceylan, Oguzhan [2 ]
Ozdemir, Aydogan [1 ]
机构：
[1] Istanbul Tech Univ, Dept Elect Engn, Istanbul, Turkey
[2] Kadir Has Univ, Management & Informat Syst Dept, Istanbul, Turkey
来源：
PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON MODERN POWER SYSTEMS (MPS 2021) | 2021年
关键词：
Parallel Computation; Smart grids; Distributed generators; Optimization; Grey Wolf Optimization Algorithm; DISTRIBUTION-SYSTEMS; RECONFIGURATION;
D O I：
10.1109/MPS52805.2021.9492702
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
引用
收藏
页数：6
相关论文
共 50 条
  • [31] Parameter identification of fuel cell using Repairable Grey Wolf Optimization algorithm
    Ebrahimi, S. Mohammadreza
    Hasanzadeh, Sajjad
    Khatibi, Sahand
    APPLIED SOFT COMPUTING, 2023, 147
  • [32] Optimal Allocation of Multiple Distributed Generators And Shunt Capacitors In Distribution System Using Flower Pollination Algorithm
    Sudabattula, Suresh Kumar
    Suresh, Velamuri
    Subramaniam, Umashankar
    Almakhles, Dhafer
    Padmanaban, Sanjeevikumar
    Leonowicz, Zbigniew
    Iqbal, Atif
    2019 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2019 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2019,
  • [33] Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation
    Nasreddine Bouchikhi
    Fethi Boussadia
    Riyadh Bouddou
    Ayodeji Olalekan Salau
    Saad Mekhilef
    Chaima Gouder
    Sarra Adiche
    Abdallah Belabbes
    Scientific Reports, 15 (1)
  • [34] Optimum design of diversion weirs with grey wolf optimization
    Ozturk, Tulay Sugra Kucukerdem
    Saplioglu, Kemal
    PHYSICS AND CHEMISTRY OF THE EARTH, 2025, 139
  • [35] A chaotic grey wolf optimizer for constrained optimization problems
    Rodrigues, Leonardo Ramos
    EXPERT SYSTEMS, 2023, 40 (04)
  • [36] Effects of dominant wolves in grey wolf optimization algorithm
    Ozsoydan, Fehmi Burcin
    APPLIED SOFT COMPUTING, 2019, 83
  • [37] Utilizing fuzzy optimization for distributed generation allocation
    Cano, Edwin B.
    TENCON 2007 - 2007 IEEE REGION 10 CONFERENCE, VOLS 1-3, 2007, : 171 - 174
  • [38] Training Sigma-Pi neural networks with the grey wolf optimization algorithm
    Sarikaya, Cansu
    Bas, Eren
    Egrioglu, Erol
    GRANULAR COMPUTING, 2023, 8 (05) : 981 - 989
  • [39] Training Sigma-Pi neural networks with the grey wolf optimization algorithm
    Cansu Sarıkaya
    Eren Bas
    Erol Egrioglu
    Granular Computing, 2023, 8 (5) : 981 - 989
  • [40] A Novel Grey Wolf Optimizer for Solving Optimization Problems
    Khaghani, Amirreza
    Meshkat, Mostafa
    Parhizgar, Mohsen
    2019 5TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS 2019), 2019,
12345