Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids

Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/MEPS46793.2019.9395018

Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids

Bahman Ahmadi
, Oguzhan Ceylan
, Aydogan Ozdemir

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

5 Citations (Scopus)

Abstract

Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more important due to their economic and environmental impacts. This paper presents optimal siting and sizing of the Photovoltaics (PVs) and Wind Turbines (WTs) to improve the voltage magnitude profiles. This planning problem is formulated using DER generation and load profiles o ft he t hree r epresentative d ays, o ne f or each season. The resulting constrained optimization problem is solved using Cuckoo Search Algorithm (CSA). The proposed solution approach is applied to the 33 bus and 69 bus radial distribution networks. Several simulations are performed for the performance analysis of the methods and the results are compared to several available ones.

Original language	English
Title of host publication	Proceedings - International Conference on Modern Electric Power Systems, MEPS 2019
Publisher	IEEE
ISBN (Electronic)	9781728116419
DOIs	https://doi.org/10.1109/MEPS46793.2019.9395018
Publication status	Published - 6 Apr 2021
Externally published	Yes
Event	International Conference on Modern Electric Power Systems, MEPS 2019 - Wroclaw, Poland Duration: 9 Sept 2019 → 12 Sept 2019

Conference

Conference	International Conference on Modern Electric Power Systems, MEPS 2019
Country/Territory	Poland
City	Wroclaw
Period	9/09/19 → 12/09/19

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth

Keywords

Constrained optimization
Cuckoo Search Algorithm (CSA)
Distributed energy resources
Smart Grids
n/a OA procedure

Access to Document

10.1109/MEPS46793.2019.9395018

Cite this

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title = "Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids",

abstract = "Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more important due to their economic and environmental impacts. This paper presents optimal siting and sizing of the Photovoltaics (PVs) and Wind Turbines (WTs) to improve the voltage magnitude profiles. This planning problem is formulated using DER generation and load profiles o ft he t hree r epresentative d ays, o ne f or each season. The resulting constrained optimization problem is solved using Cuckoo Search Algorithm (CSA). The proposed solution approach is applied to the 33 bus and 69 bus radial distribution networks. Several simulations are performed for the performance analysis of the methods and the results are compared to several available ones.",

keywords = "Constrained optimization, Cuckoo Search Algorithm (CSA), Distributed energy resources, Smart Grids, n/a OA procedure",

author = "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} 2020 IEEE; International Conference on Modern Electric Power Systems, MEPS 2019 ; Conference date: 09-09-2019 Through 12-09-2019",

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doi = "10.1109/MEPS46793.2019.9395018",

language = "English",

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Ahmadi, B, Ceylan, O & Ozdemir, A 2021, Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids. in Proceedings - International Conference on Modern Electric Power Systems, MEPS 2019., 9395018, IEEE, International Conference on Modern Electric Power Systems, MEPS 2019, Wroclaw, Poland, 9/09/19. https://doi.org/10.1109/MEPS46793.2019.9395018

Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids. / Ahmadi, Bahman; Ceylan, Oguzhan; Ozdemir, Aydogan.
Proceedings - International Conference on Modern Electric Power Systems, MEPS 2019. IEEE, 2021. 9395018.

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

TY - GEN

T1 - Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids

AU - Ahmadi, Bahman

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - 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: © 2020 IEEE

PY - 2021/4/6

Y1 - 2021/4/6

N2 - Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more important due to their economic and environmental impacts. This paper presents optimal siting and sizing of the Photovoltaics (PVs) and Wind Turbines (WTs) to improve the voltage magnitude profiles. This planning problem is formulated using DER generation and load profiles o ft he t hree r epresentative d ays, o ne f or each season. The resulting constrained optimization problem is solved using Cuckoo Search Algorithm (CSA). The proposed solution approach is applied to the 33 bus and 69 bus radial distribution networks. Several simulations are performed for the performance analysis of the methods and the results are compared to several available ones.

AB - Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more important due to their economic and environmental impacts. This paper presents optimal siting and sizing of the Photovoltaics (PVs) and Wind Turbines (WTs) to improve the voltage magnitude profiles. This planning problem is formulated using DER generation and load profiles o ft he t hree r epresentative d ays, o ne f or each season. The resulting constrained optimization problem is solved using Cuckoo Search Algorithm (CSA). The proposed solution approach is applied to the 33 bus and 69 bus radial distribution networks. Several simulations are performed for the performance analysis of the methods and the results are compared to several available ones.

KW - Constrained optimization

KW - Cuckoo Search Algorithm (CSA)

KW - Distributed energy resources

KW - Smart Grids

KW - n/a OA procedure

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U2 - 10.1109/MEPS46793.2019.9395018

DO - 10.1109/MEPS46793.2019.9395018

M3 - Conference contribution

AN - SCOPUS:85095605220

BT - Proceedings - International Conference on Modern Electric Power Systems, MEPS 2019

PB - IEEE

T2 - International Conference on Modern Electric Power Systems, MEPS 2019

Y2 - 9 September 2019 through 12 September 2019

ER -

Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids

Abstract

Conference

UN SDGs

Keywords

Access to Document

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