Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

Soheil Younesi; Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.23919/ELECO54474.2021.9677829

Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

Soheil Younesi
, Bahman Ahmadi
, Oguzhan Ceylan
, Aydogan Ozdemir

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

3 Citations (Scopus)

Abstract

Distribution network (DN) service continuity is one of the significant issues in today's power systems. This paper aims to put a strategy for supplying loads with less discontinuity and affordable energy-consuming. The energy loss in distribution grids causes many problems for the producer and consumer; hence, it needs to be improved to increase supply efficiency accordingly. For this aim a model aiming to minimize power losses by allocating and sizing distributed generators (DGs) is solved using recently developed Marine Predators Algorithm (MPA). Since the proposed method is a time-intensive process due to the vast computations, parallel computation is implemented into MPA to increase computation speed. The proposed formulation and parallel computation are tested for 69-bus radial distribution system. The results are discussed in terms of computational accuracy and solution efficiency. Moreover, the convergence characteristics of MPA are compared with some other heuristic methods.

Original language	English
Title of host publication	2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	67-72
Number of pages	6
ISBN (Electronic)	978-605-01-1437-9
ISBN (Print)	978-1-6654-0940-7
DOIs	https://doi.org/10.23919/ELECO54474.2021.9677829
Publication status	Published - 2021
Externally published	Yes
Event	13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021 Conference number: 13

Conference

Conference	13th International Conference on Electrical and Electronics Engineering, ELECO 2021
Abbreviated title	ELECO 2021
Country/Territory	Turkey
City	Virtual, Bursa
Period	25/11/21 → 27/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

DG allocation problem
Distribution networks
Marine Predators Algorithm (MPA)
Parallel computing
Smart grids
n/a OA procedure

Access to Document

10.23919/ELECO54474.2021.9677829

Cite this

@inproceedings{074d431d24474c7eae7efc335947ebc1,

title = "Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm",

abstract = "Distribution network (DN) service continuity is one of the significant issues in today's power systems. This paper aims to put a strategy for supplying loads with less discontinuity and affordable energy-consuming. The energy loss in distribution grids causes many problems for the producer and consumer; hence, it needs to be improved to increase supply efficiency accordingly. For this aim a model aiming to minimize power losses by allocating and sizing distributed generators (DGs) is solved using recently developed Marine Predators Algorithm (MPA). Since the proposed method is a time-intensive process due to the vast computations, parallel computation is implemented into MPA to increase computation speed. The proposed formulation and parallel computation are tested for 69-bus radial distribution system. The results are discussed in terms of computational accuracy and solution efficiency. Moreover, the convergence characteristics of MPA are compared with some other heuristic methods. ",

keywords = "DG allocation problem, Distribution networks, Marine Predators Algorithm (MPA), Parallel computing, Smart grids, n/a OA procedure",

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

note = "Funding Information: ACKNOWLEDGMENT 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 Chamber of Turkish Electrical Engineers.; 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, ELECO 2021 ; Conference date: 25-11-2021 Through 27-11-2021",

year = "2021",

doi = "10.23919/ELECO54474.2021.9677829",

language = "English",

isbn = "978-1-6654-0940-7",

pages = "67--72",

booktitle = "2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021",

publisher = "IEEE",

address = "United States",

}

Younesi, S, Ahmadi, B, Ceylan, O & Ozdemir, A 2021, Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm. in 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. IEEE, Piscataway, NJ, pp. 67-72, 13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Turkey, 25/11/21. https://doi.org/10.23919/ELECO54474.2021.9677829

Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm. / Younesi, Soheil; Ahmadi, Bahman; Ceylan, Oguzhan et al.
2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021. Piscataway, NJ: IEEE, 2021. p. 67-72.

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

TY - GEN

T1 - Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

AU - Younesi, Soheil

AU - Ahmadi, Bahman

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 13

PY - 2021

Y1 - 2021

N2 - Distribution network (DN) service continuity is one of the significant issues in today's power systems. This paper aims to put a strategy for supplying loads with less discontinuity and affordable energy-consuming. The energy loss in distribution grids causes many problems for the producer and consumer; hence, it needs to be improved to increase supply efficiency accordingly. For this aim a model aiming to minimize power losses by allocating and sizing distributed generators (DGs) is solved using recently developed Marine Predators Algorithm (MPA). Since the proposed method is a time-intensive process due to the vast computations, parallel computation is implemented into MPA to increase computation speed. The proposed formulation and parallel computation are tested for 69-bus radial distribution system. The results are discussed in terms of computational accuracy and solution efficiency. Moreover, the convergence characteristics of MPA are compared with some other heuristic methods.

AB - Distribution network (DN) service continuity is one of the significant issues in today's power systems. This paper aims to put a strategy for supplying loads with less discontinuity and affordable energy-consuming. The energy loss in distribution grids causes many problems for the producer and consumer; hence, it needs to be improved to increase supply efficiency accordingly. For this aim a model aiming to minimize power losses by allocating and sizing distributed generators (DGs) is solved using recently developed Marine Predators Algorithm (MPA). Since the proposed method is a time-intensive process due to the vast computations, parallel computation is implemented into MPA to increase computation speed. The proposed formulation and parallel computation are tested for 69-bus radial distribution system. The results are discussed in terms of computational accuracy and solution efficiency. Moreover, the convergence characteristics of MPA are compared with some other heuristic methods.

KW - DG allocation problem

KW - Distribution networks

KW - Marine Predators Algorithm (MPA)

KW - Parallel computing

KW - Smart grids

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85125226943

U2 - 10.23919/ELECO54474.2021.9677829

DO - 10.23919/ELECO54474.2021.9677829

M3 - Conference contribution

SN - 978-1-6654-0940-7

SP - 67

EP - 72

BT - 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

PB - IEEE

CY - Piscataway, NJ

T2 - 13th International Conference on Electrical and Electronics Engineering, ELECO 2021

Y2 - 25 November 2021 through 27 November 2021

ER -

Energy Loss Minimization with Parallel Implementation of Marine Predators Algorithm

Abstract

Conference

UN SDGs

Keywords

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