The arithmetic optimization algorithm for optimal energy resource planning

Bahman Ahmadi; Soheil Younesi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/UPEC50034.2021.9548204

The arithmetic optimization algorithm for optimal energy resource planning

Bahman Ahmadi
, Soheil Younesi
, Oguzhan Ceylan
, Aydogan Ozdemir

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

11 Citations (Scopus)

Abstract

This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).

Original language	English
Title of host publication	2021 56th International Universities Power Engineering Conference
Subtitle of host publication	Powering Net Zero Emissions, UPEC 2021 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-6654-4389-0
ISBN (Print)	978-1-6654-4390-6
DOIs	https://doi.org/10.1109/UPEC50034.2021.9548204
Publication status	Published - 31 Aug 2021
Externally published	Yes
Event	56th International Universities Power Engineering Conference, UPEC 2021 - Virtual, Middlesbrough, United Kingdom Duration: 31 Aug 2021 → 3 Sept 2021 Conference number: 56

Conference

Conference	56th International Universities Power Engineering Conference, UPEC 2021
Abbreviated title	UPEC 2021
Country/Territory	United Kingdom
City	Virtual, Middlesbrough
Period	31/08/21 → 3/09/21

Keywords

Customer Average Interruption Duration Index (CAIDI)
Distributed Generation (DG)
Distribution Networks (DNs)
Energy Not Supplied (ENS)
Optimization
n/a OA procedure

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10.1109/UPEC50034.2021.9548204

Cite this

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title = "The arithmetic optimization algorithm for optimal energy resource planning",

abstract = "This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). ",

keywords = "Customer Average Interruption Duration Index (CAIDI), Distributed Generation (DG), Distribution Networks (DNs), Energy Not Supplied (ENS), Optimization, n/a OA procedure",

author = "Bahman Ahmadi and Soheil Younesi 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 (TUBITAK)” project under the framework of 1001 Project organized by TUBITAK. Publisher Copyright: {\textcopyright} 2021 IEEE.; 56th International Universities Power Engineering Conference, UPEC 2021, UPEC 2021 ; Conference date: 31-08-2021 Through 03-09-2021",

year = "2021",

month = aug,

day = "31",

doi = "10.1109/UPEC50034.2021.9548204",

language = "English",

isbn = "978-1-6654-4390-6",

booktitle = "2021 56th International Universities Power Engineering Conference",

publisher = "IEEE",

address = "United States",

}

Ahmadi, B, Younesi, S, Ceylan, O & Ozdemir, A 2021, The arithmetic optimization algorithm for optimal energy resource planning. in 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings., 9548204, IEEE, Piscataway, NJ, 56th International Universities Power Engineering Conference, UPEC 2021, Virtual, Middlesbrough, United Kingdom, 31/08/21. https://doi.org/10.1109/UPEC50034.2021.9548204

The arithmetic optimization algorithm for optimal energy resource planning. / Ahmadi, Bahman; Younesi, Soheil; Ceylan, Oguzhan et al.
2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings. Piscataway, NJ: IEEE, 2021. 9548204.

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

TY - GEN

T1 - The arithmetic optimization algorithm for optimal energy resource planning

AU - Ahmadi, Bahman

AU - Younesi, Soheil

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 56

PY - 2021/8/31

Y1 - 2021/8/31

N2 - This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).

AB - This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).

KW - Customer Average Interruption Duration Index (CAIDI)

KW - Distributed Generation (DG)

KW - Distribution Networks (DNs)

KW - Energy Not Supplied (ENS)

KW - Optimization

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85116614792

U2 - 10.1109/UPEC50034.2021.9548204

DO - 10.1109/UPEC50034.2021.9548204

M3 - Conference contribution

SN - 978-1-6654-4390-6

BT - 2021 56th International Universities Power Engineering Conference

PB - IEEE

CY - Piscataway, NJ

T2 - 56th International Universities Power Engineering Conference, UPEC 2021

Y2 - 31 August 2021 through 3 September 2021

ER -

The arithmetic optimization algorithm for optimal energy resource planning

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Keywords

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