Grey Wolf optimizer for allocation and sizing of distributed renewable generation

Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir

doi:10.1109/UPEC.2019.8893584

Grey Wolf optimizer for allocation and sizing of distributed renewable generation

Bahman Ahmadi, Oguzhan Ceylan, Aydogan Ozdemir

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

34 Citations (Scopus)

Abstract

Increasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their economic and environmental impacts. Distributed generations (DGs) in the form of small renewable energy resources such as solar photovoltaics (PVs) and Wind Turbines (WTs) are connected in radial distribution networks near to the loads. This paper presents optimal siting and sizing of distributed renewable energy resource to maintain voltage magnitude profiles. Bus voltage magnitude differences for each hour in a day of a distribution system are formulated as an objective function. Three consecutive days are taken into account representing the three seasons of a year. A new nature inspired algorithm Grey Wolf Optimizer (GWO) is used as a solution tool. The proposed formulation is applied to 33 bus and 69 bus radial distribution networks. MATLAB simulations are performed to validate the performance of the approach. Simulation results are discussed and compared with of the several available ones'.

Original language	English
Title of host publication	2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings
Publisher	IEEE
ISBN (Electronic)	9781728133492
DOIs	https://doi.org/10.1109/UPEC.2019.8893584
Publication status	Published - Sept 2019
Externally published	Yes
Event	54th International Universities Power Engineering Conference, UPEC 2019 - Bucharest, Romania Duration: 3 Sept 2019 → 6 Sept 2019 Conference number: 54

Conference

Conference	54th International Universities Power Engineering Conference, UPEC 2019
Abbreviated title	UPEC 2019
Country/Territory	Romania
City	Bucharest
Period	3/09/19 → 6/09/19

Keywords

distributed energy resources (DERs)
nature inspired optimization
Smart Grids
voltage magnitude problem
n/a OA procedure

UN SDGs

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

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10.1109/UPEC.2019.8893584

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@inproceedings{db7adfebb2014de0a6fd7d187905f350,

title = "Grey Wolf optimizer for allocation and sizing of distributed renewable generation",

abstract = "Increasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their economic and environmental impacts. Distributed generations (DGs) in the form of small renewable energy resources such as solar photovoltaics (PVs) and Wind Turbines (WTs) are connected in radial distribution networks near to the loads. This paper presents optimal siting and sizing of distributed renewable energy resource to maintain voltage magnitude profiles. Bus voltage magnitude differences for each hour in a day of a distribution system are formulated as an objective function. Three consecutive days are taken into account representing the three seasons of a year. A new nature inspired algorithm Grey Wolf Optimizer (GWO) is used as a solution tool. The proposed formulation is applied to 33 bus and 69 bus radial distribution networks. MATLAB simulations are performed to validate the performance of the approach. Simulation results are discussed and compared with of the several available ones'.",

keywords = "distributed energy resources (DERs), nature inspired optimization, Smart Grids, voltage magnitude problem, 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} 2019 IEEE.; 54th International Universities Power Engineering Conference, UPEC 2019, UPEC 2019 ; Conference date: 03-09-2019 Through 06-09-2019",

year = "2019",

month = sep,

doi = "10.1109/UPEC.2019.8893584",

language = "English",

booktitle = "2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings",

publisher = "IEEE",

address = "United States",

}

Ahmadi, B, Ceylan, O & Ozdemir, A 2019, Grey Wolf optimizer for allocation and sizing of distributed renewable generation. in 2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings., 8893584, IEEE, 54th International Universities Power Engineering Conference, UPEC 2019, Bucharest, Romania, 3/09/19. https://doi.org/10.1109/UPEC.2019.8893584

TY - GEN

T1 - Grey Wolf optimizer for allocation and sizing of distributed renewable generation

AU - Ahmadi, Bahman

AU - Ceylan, Oguzhan

AU - Ozdemir, Aydogan

N1 - Conference code: 54

PY - 2019/9

Y1 - 2019/9

N2 - Increasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their economic and environmental impacts. Distributed generations (DGs) in the form of small renewable energy resources such as solar photovoltaics (PVs) and Wind Turbines (WTs) are connected in radial distribution networks near to the loads. This paper presents optimal siting and sizing of distributed renewable energy resource to maintain voltage magnitude profiles. Bus voltage magnitude differences for each hour in a day of a distribution system are formulated as an objective function. Three consecutive days are taken into account representing the three seasons of a year. A new nature inspired algorithm Grey Wolf Optimizer (GWO) is used as a solution tool. The proposed formulation is applied to 33 bus and 69 bus radial distribution networks. MATLAB simulations are performed to validate the performance of the approach. Simulation results are discussed and compared with of the several available ones'.

AB - Increasing penetration of distributed energy resources (DERs) have brought operational and control philosophy changes in Smart Grids (SGs). Renewable energy based technologies are becoming more important due to their economic and environmental impacts. Distributed generations (DGs) in the form of small renewable energy resources such as solar photovoltaics (PVs) and Wind Turbines (WTs) are connected in radial distribution networks near to the loads. This paper presents optimal siting and sizing of distributed renewable energy resource to maintain voltage magnitude profiles. Bus voltage magnitude differences for each hour in a day of a distribution system are formulated as an objective function. Three consecutive days are taken into account representing the three seasons of a year. A new nature inspired algorithm Grey Wolf Optimizer (GWO) is used as a solution tool. The proposed formulation is applied to 33 bus and 69 bus radial distribution networks. MATLAB simulations are performed to validate the performance of the approach. Simulation results are discussed and compared with of the several available ones'.

KW - distributed energy resources (DERs)

KW - nature inspired optimization

KW - Smart Grids

KW - voltage magnitude problem

KW - n/a OA procedure

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U2 - 10.1109/UPEC.2019.8893584

DO - 10.1109/UPEC.2019.8893584

M3 - Conference contribution

AN - SCOPUS:85075719399

BT - 2019 54th International Universities Power Engineering Conference, UPEC 2019 - Proceedings

PB - IEEE

T2 - 54th International Universities Power Engineering Conference, UPEC 2019

Y2 - 3 September 2019 through 6 September 2019

ER -

Grey Wolf optimizer for allocation and sizing of distributed renewable generation

Abstract

Conference

Keywords

UN SDGs

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