Multi-objective distributed energy resource integration in radial distribution networks

Bahman Ahmadi; Soheil Younesi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/UPEC50034.2021.9548208

Multi-objective distributed energy resource integration in radial distribution networks

Bahman Ahmadi, Soheil Younesi, Oguzhan Ceylan, Aydogan Ozdemir

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

1 Citation (Scopus)

Abstract

Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of distributed generations (DGs) and energy storage systems (ESSs). This paper aims to integrate multi-type DG units and ESSs into the radial DNs to improve network reliability, decrease the losses, and maintain the voltage profiles. System Average Interruption Frequency Index (SAIFI) and Average Energy Not Supplied (AENS) are used as representative reliability indices. Objective functions are formulated and solved by using the slime mould algorithm (SMA). The proposed model's performance is tested on a balanced 33-bus system using the MATLAB environment. Then, the best solution is selected and compared with the base case values. Finally, SMA based solution is compared to those of genetic algorithm and particle swarm algorithm to validate the SMA's performance for finding the near-global solution.

Original language	English
Title of host publication	2021 56th International Universities Power Engineering Conference
Publisher	IEEE
ISBN (Electronic)	9781665443890
DOIs	https://doi.org/10.1109/UPEC50034.2021.9548208
Publication status	Published - 30 Sept 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

Average Energy Not Supplied (AENS)
Distributed generation (DG)
Distribution networks (DNs)
Slime mould algorithm (SMA)
System Average Interruption Frequency Index (SAIFI)
n/a OA procedure

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10.1109/UPEC50034.2021.9548208

Cite this

@inproceedings{d792ee4ea2f24a88a2f055d8660538c1,

title = "Multi-objective distributed energy resource integration in radial distribution networks",

abstract = "Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of distributed generations (DGs) and energy storage systems (ESSs). This paper aims to integrate multi-type DG units and ESSs into the radial DNs to improve network reliability, decrease the losses, and maintain the voltage profiles. System Average Interruption Frequency Index (SAIFI) and Average Energy Not Supplied (AENS) are used as representative reliability indices. Objective functions are formulated and solved by using the slime mould algorithm (SMA). The proposed model's performance is tested on a balanced 33-bus system using the MATLAB environment. Then, the best solution is selected and compared with the base case values. Finally, SMA based solution is compared to those of genetic algorithm and particle swarm algorithm to validate the SMA's performance for finding the near-global solution.",

keywords = "Average Energy Not Supplied (AENS), Distributed generation (DG), Distribution networks (DNs), Slime mould algorithm (SMA), System Average Interruption Frequency Index (SAIFI), 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” 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 = sep,

day = "30",

doi = "10.1109/UPEC50034.2021.9548208",

language = "English",

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

publisher = "IEEE",

address = "United States",

}

Ahmadi, B, Younesi, S, Ceylan, O & Ozdemir, A 2021, Multi-objective distributed energy resource integration in radial distribution networks. in 2021 56th International Universities Power Engineering Conference. IEEE, 56th International Universities Power Engineering Conference, UPEC 2021, Virtual, Middlesbrough, United Kingdom, 31/08/21. https://doi.org/10.1109/UPEC50034.2021.9548208

TY - GEN

T1 - Multi-objective distributed energy resource integration in radial distribution networks

AU - Ahmadi, Bahman

AU - Younesi, Soheil

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 56

PY - 2021/9/30

Y1 - 2021/9/30

N2 - Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of distributed generations (DGs) and energy storage systems (ESSs). This paper aims to integrate multi-type DG units and ESSs into the radial DNs to improve network reliability, decrease the losses, and maintain the voltage profiles. System Average Interruption Frequency Index (SAIFI) and Average Energy Not Supplied (AENS) are used as representative reliability indices. Objective functions are formulated and solved by using the slime mould algorithm (SMA). The proposed model's performance is tested on a balanced 33-bus system using the MATLAB environment. Then, the best solution is selected and compared with the base case values. Finally, SMA based solution is compared to those of genetic algorithm and particle swarm algorithm to validate the SMA's performance for finding the near-global solution.

AB - Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of distributed generations (DGs) and energy storage systems (ESSs). This paper aims to integrate multi-type DG units and ESSs into the radial DNs to improve network reliability, decrease the losses, and maintain the voltage profiles. System Average Interruption Frequency Index (SAIFI) and Average Energy Not Supplied (AENS) are used as representative reliability indices. Objective functions are formulated and solved by using the slime mould algorithm (SMA). The proposed model's performance is tested on a balanced 33-bus system using the MATLAB environment. Then, the best solution is selected and compared with the base case values. Finally, SMA based solution is compared to those of genetic algorithm and particle swarm algorithm to validate the SMA's performance for finding the near-global solution.

KW - Average Energy Not Supplied (AENS)

KW - Distributed generation (DG)

KW - Distribution networks (DNs)

KW - Slime mould algorithm (SMA)

KW - System Average Interruption Frequency Index (SAIFI)

KW - n/a OA procedure

UR - https://www.scopus.com/pages/publications/85116687171

U2 - 10.1109/UPEC50034.2021.9548208

DO - 10.1109/UPEC50034.2021.9548208

M3 - Conference contribution

AN - SCOPUS:85116687171

BT - 2021 56th International Universities Power Engineering Conference

PB - IEEE

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

Y2 - 31 August 2021 through 3 September 2021

ER -

Multi-objective distributed energy resource integration in radial distribution networks

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