Optimal allocation of PV systems in distribution networks using PSO

M. H. Albadi; H. M. Soliman; E. F. El-Saadany; M. Awlad Thani; A. Al-Alawi; S. Al-Ismaili; A. Al-Nabhani; H. Baalawi

doi:10.1109/ICMSAO.2017.7934886

Optimal allocation of PV systems in distribution networks using PSO

M. H. Albadi
, H. M. Soliman
, E. F. El-Saadany
, M. Awlad Thani
, A. Al-Alawi
, S. Al-Ismaili
, A. Al-Nabhani
, H. Baalawi

Electrical Engineering

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

9 Scopus citations

Abstract

This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load flow toolbox.

Original language	British English
Title of host publication	2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509054541
DOIs	https://doi.org/10.1109/ICMSAO.2017.7934886
State	Published - 26 May 2017
Event	7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, United Arab Emirates Duration: 4 Apr 2017 → 6 Apr 2017

Publication series

Name	2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

Conference

Conference	7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
Country/Territory	United Arab Emirates
City	Sharjah
Period	4/04/17 → 6/04/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Loss minimization
Particle swarm optimization
Power flow

Access to Document

10.1109/ICMSAO.2017.7934886

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Albadi, M. H., Soliman, H. M., El-Saadany, E. F., Thani, M. A., Al-Alawi, A., Al-Ismaili, S., Al-Nabhani, A., & Baalawi, H. (2017). Optimal allocation of PV systems in distribution networks using PSO. In 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 Article 7934886 (2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMSAO.2017.7934886

Albadi, M. H. ; Soliman, H. M. ; El-Saadany, E. F. et al. / Optimal allocation of PV systems in distribution networks using PSO. 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017).

@inproceedings{0ce4af47f2bd455e88416c530bea6e8c,

title = "Optimal allocation of PV systems in distribution networks using PSO",

abstract = "This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load flow toolbox.",

keywords = "Loss minimization, Particle swarm optimization, Power flow",

author = "Albadi, \{M. H.\} and Soliman, \{H. M.\} and El-Saadany, \{E. F.\} and Thani, \{M. Awlad\} and A. Al-Alawi and S. Al-Ismaili and A. Al-Nabhani and H. Baalawi",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 ; Conference date: 04-04-2017 Through 06-04-2017",

year = "2017",

month = may,

day = "26",

doi = "10.1109/ICMSAO.2017.7934886",

language = "British English",

series = "2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017",

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Albadi, MH, Soliman, HM, El-Saadany, EF, Thani, MA, Al-Alawi, A, Al-Ismaili, S, Al-Nabhani, A & Baalawi, H 2017, Optimal allocation of PV systems in distribution networks using PSO. in 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017., 7934886, 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017, Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017, Sharjah, United Arab Emirates, 4/04/17. https://doi.org/10.1109/ICMSAO.2017.7934886

Optimal allocation of PV systems in distribution networks using PSO. / Albadi, M. H.; Soliman, H. M.; El-Saadany, E. F. et al.
2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7934886 (2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017).

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

TY - GEN

T1 - Optimal allocation of PV systems in distribution networks using PSO

AU - Albadi, M. H.

AU - Soliman, H. M.

AU - El-Saadany, E. F.

AU - Thani, M. Awlad

AU - Al-Alawi, A.

AU - Al-Ismaili, S.

AU - Al-Nabhani, A.

AU - Baalawi, H.

PY - 2017/5/26

Y1 - 2017/5/26

N2 - This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load flow toolbox.

AB - This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load flow toolbox.

KW - Loss minimization

KW - Particle swarm optimization

KW - Power flow

UR - https://www.scopus.com/pages/publications/85021403380

U2 - 10.1109/ICMSAO.2017.7934886

DO - 10.1109/ICMSAO.2017.7934886

M3 - Conference contribution

AN - SCOPUS:85021403380

T3 - 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

BT - 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017

Y2 - 4 April 2017 through 6 April 2017

ER -

Albadi MH, Soliman HM, El-Saadany EF, Thani MA, Al-Alawi A, Al-Ismaili S et al. Optimal allocation of PV systems in distribution networks using PSO. In 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7934886. (2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017). doi: 10.1109/ICMSAO.2017.7934886

Optimal allocation of PV systems in distribution networks using PSO

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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