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
  • [21] On the improvement in grey wolf optimization
    Salgotra, Rohit
    Singh, Urvinder
    Sharma, Sakshi
    NEURAL COMPUTING & APPLICATIONS, 2020, 32 (08): : 3709 - 3748
  • [22] On the improvement in grey wolf optimization
    Rohit Salgotra
    Urvinder Singh
    Sakshi Sharma
    Neural Computing and Applications, 2020, 32 : 3709 - 3748
  • [23] Chaotic Grey Wolf Optimization
    Yu, Hang
    Yu, Yang
    Liu, Yawing
    Wang, Yirui
    Gao, Shangce
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC), VOL 1, 2016, : 108 - 113
  • [24] Parallel Autonomous Optimization of Demand Response with Renewable Distributed Generators
    Yang, Peng
    Chavali, Phani
    Nehorai, Arye
    2012 IEEE THIRD INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2012, : 55 - 60
  • [25] Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection
    Al-Tashi, Qasem
    Kadir, Said Jadid Abdul
    Rais, Helmi Md
    Mirjalili, Seyedali
    Alhussian, Hitham
    IEEE ACCESS, 2019, 7 : 39496 - 39508
  • [26] A Feature Selection Method of Parallel Grey Wolf Optimization Algorithm Based on Spark
    Chen, Hongwei
    Han, Lin
    Hu, Zhou
    Hou, Qiao
    Ye, Zhiwei
    Zeng, Jun
    Yuan, Jiansen
    PROCEEDINGS OF THE 2019 10TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS - TECHNOLOGY AND APPLICATIONS (IDAACS), VOL. 1, 2019, : 81 - 85
  • [27] An Optimal Power Allocation Scheme of Microgrid Using Grey Wolf Optimizer
    Zhang, Jiancheng
    Wang, Xinsheng
    Ma, Lingyu
    IEEE ACCESS, 2019, 7 : 137608 - 137619
  • [28] Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm
    El-Fergany, Attia
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 : 1197 - 1205
  • [29] Network Reconfiguration and Distributed Generators Allocation and Sizing Using Multi-Objective Optimization Algorithms
    Junior, Vanio F. S.
    Ferraz, Renato S. F.
    Ferraz, Rafael S. F.
    Rueda-Medina, Augusto C.
    2023 15TH SEMINAR ON POWER ELECTRONICS AND CONTROL, SEPOC, 2023,
  • [30] Grey wolf optimization with momentum for function optimization
    Takuya Muto
    Michiharu Maeda
    Artificial Life and Robotics, 2021, 26 : 304 - 311
12345