Allocation of Distributed Generators Using Parallel Grey Wolf optimization

Soheil Younesi; Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/MPS52805.2021.9492702

Allocation of Distributed Generators Using Parallel Grey Wolf optimization

Soheil Younesi, Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021
Place of Publication	Piscataway, NJ
Publisher	IEEE
ISBN (Electronic)	978-1-6654-3382-2
ISBN (Print)	978-1-6654-3383-9
DOIs	https://doi.org/10.1109/MPS52805.2021.9492702
Publication status	Published - 16 Jun 2021
Externally published	Yes
Event	9th International Conference on Modern Power Systems, MPS 2021 - Cluj-Napoca, Romania Duration: 16 Jun 2021 → 17 Jun 2021 Conference number: 9

Conference

Conference	9th International Conference on Modern Power Systems, MPS 2021
Abbreviated title	MPS 2021
Country/Territory	Romania
City	Cluj-Napoca
Period	16/06/21 → 17/06/21

Keywords

Distributed generators
Grey Wolf Optimization algorithm
Optimization
Parallel computation
Smart grids
n/a OA procedure

Access to Document

10.1109/MPS52805.2021.9492702

Cite this

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title = "Allocation of Distributed Generators Using Parallel Grey Wolf optimization",

abstract = "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. ",

keywords = "Distributed generators, Grey Wolf Optimization algorithm, Optimization, Parallel computation, Smart grids, n/a OA procedure",

author = "Soheil Younesi and Bahman Ahmadi and Oguzhan Ceylan and Aydogan Ozdemir",

note = "Funding Information: This research is funded as a part of “117E773 Advanced Evolutionary Computation for Smart Grid and Smart Community” project under the framework of 1001 Project organized by “The Scientific and Technological Research Council of Turkey TUBITAK”. Publisher Copyright: {\textcopyright} 2021 IEEE.; 9th International Conference on Modern Power Systems, MPS 2021, MPS 2021 ; Conference date: 16-06-2021 Through 17-06-2021",

year = "2021",

month = jun,

day = "16",

doi = "10.1109/MPS52805.2021.9492702",

language = "English",

isbn = "978-1-6654-3383-9",

booktitle = "Proceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021",

publisher = "IEEE",

address = "United States",

}

Younesi, S, Ahmadi, B, Ceylan, O & Ozdemir, A 2021, Allocation of Distributed Generators Using Parallel Grey Wolf optimization. in Proceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021., 9492702, IEEE, Piscataway, NJ, 9th International Conference on Modern Power Systems, MPS 2021, Cluj-Napoca, Romania, 16/06/21. https://doi.org/10.1109/MPS52805.2021.9492702

Allocation of Distributed Generators Using Parallel Grey Wolf optimization. / Younesi, Soheil; Ahmadi, Bahman; Ceylan, Oguzhan et al.
Proceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021. Piscataway, NJ: IEEE, 2021. 9492702.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Allocation of Distributed Generators Using Parallel Grey Wolf optimization

AU - Younesi, Soheil

AU - Ahmadi, Bahman

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 9

PY - 2021/6/16

Y1 - 2021/6/16

N2 - 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.

AB - 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.

KW - Distributed generators

KW - Grey Wolf Optimization algorithm

KW - Optimization

KW - Parallel computation

KW - Smart grids

KW - n/a OA procedure

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U2 - 10.1109/MPS52805.2021.9492702

DO - 10.1109/MPS52805.2021.9492702

M3 - Conference contribution

SN - 978-1-6654-3383-9

BT - Proceedings of 2021 9th International Conference on Modern Power Systems, MPS 2021

PB - IEEE

CY - Piscataway, NJ

T2 - 9th International Conference on Modern Power Systems, MPS 2021

Y2 - 16 June 2021 through 17 June 2021

ER -

Allocation of Distributed Generators Using Parallel Grey Wolf optimization

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Keywords

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