Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification

Adel Yahiaoui; Abdelhalim Tlemçani; Abdellah Kouzou

doi:doi:10.11648/j.acis.20210903.11

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Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification

Adel Yahiaoui, Abdelhalim Tlemçani, Abdellah Kouzou

Published in Automation, Control and Intelligent Systems (Volume 9, Issue 3)

Received: 26 April 2021 Accepted: 11 May 2021 Published: 18 August 2021

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Abstract

Photovoltaic and wind energy are the most promising as a future energy technology and can be classified as a clean sources of electric energy in the world. Size optimization of the hybrid renewable energy system play an important role in minimizing the total cost of the system (T_CS) and suitable load supply. The main focus of this research is to develop the efficient approach for the optimization of hybrid renewable energy system composed by photovoltaic area, wind turbine (WT), diesel generator (DG) and battery bank (BB). For this purpose, this paper proposes a new metaheuristic technique called modified grey wolf optimizer (M-GWO) for minimize the T_CS of the hybrid system considering power balanced between the components. The study of reliability with loss power supply probability (LPSP), the energy not supplied (ENS) and the reliability of the power supply (RPS) methods are demonstrated. For improving the high exploration and exploitation to find the global optimum and robustness of our new approach the obtained results by M-GWO are compared with Grey Wolf Optimizer (GWO) and particle swarm optimization (PSO) methods.

Published in	Automation, Control and Intelligent Systems (Volume 9, Issue 3)
DOI	10.11648/j.acis.20210903.11
Page(s)	73-88
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

HPWDBS, LPSP, M-GWO, GWO, PSO

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Adel Yahiaoui, Abdelhalim Tlemçani, Abdellah Kouzou. (2021). Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Automation, Control and Intelligent Systems, 9(3), 73-88. https://doi.org/10.11648/j.acis.20210903.11

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ACS Style

Adel Yahiaoui; Abdelhalim Tlemçani; Abdellah Kouzou. Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Autom. Control Intell. Syst. 2021, 9(3), 73-88. doi: 10.11648/j.acis.20210903.11

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AMA Style

Adel Yahiaoui, Abdelhalim Tlemçani, Abdellah Kouzou. Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Autom Control Intell Syst. 2021;9(3):73-88. doi: 10.11648/j.acis.20210903.11

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@article{10.11648/j.acis.20210903.11,
  author = {Adel Yahiaoui and Abdelhalim Tlemçani and Abdellah Kouzou},
  title = {Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification},
  journal = {Automation, Control and Intelligent Systems},
  volume = {9},
  number = {3},
  pages = {73-88},
  doi = {10.11648/j.acis.20210903.11},
  url = {https://doi.org/10.11648/j.acis.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20210903.11},
  abstract = {Photovoltaic and wind energy are the most promising as a future energy technology and can be classified as a clean sources of electric energy in the world. Size optimization of the hybrid renewable energy system play an important role in minimizing the total cost of the system (TCS) and suitable load supply. The main focus of this research is to develop the efficient approach for the optimization of hybrid renewable energy system composed by photovoltaic area, wind turbine (WT), diesel generator (DG) and battery bank (BB). For this purpose, this paper proposes a new metaheuristic technique called modified grey wolf optimizer (M-GWO) for minimize the TCS of the hybrid system considering power balanced between the components. The study of reliability with loss power supply probability (LPSP), the energy not supplied (ENS) and the reliability of the power supply (RPS) methods are demonstrated. For improving the high exploration and exploitation to find the global optimum and robustness of our new approach the obtained results by M-GWO are compared with Grey Wolf Optimizer (GWO) and particle swarm optimization (PSO) methods.},
 year = {2021}
}

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TY  - JOUR
T1  - Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification
AU  - Adel Yahiaoui
AU  - Abdelhalim Tlemçani
AU  - Abdellah Kouzou
Y1  - 2021/08/18
PY  - 2021
N1  - https://doi.org/10.11648/j.acis.20210903.11
DO  - 10.11648/j.acis.20210903.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 73
EP  - 88
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20210903.11
AB  - Photovoltaic and wind energy are the most promising as a future energy technology and can be classified as a clean sources of electric energy in the world. Size optimization of the hybrid renewable energy system play an important role in minimizing the total cost of the system (TCS) and suitable load supply. The main focus of this research is to develop the efficient approach for the optimization of hybrid renewable energy system composed by photovoltaic area, wind turbine (WT), diesel generator (DG) and battery bank (BB). For this purpose, this paper proposes a new metaheuristic technique called modified grey wolf optimizer (M-GWO) for minimize the TCS of the hybrid system considering power balanced between the components. The study of reliability with loss power supply probability (LPSP), the energy not supplied (ENS) and the reliability of the power supply (RPS) methods are demonstrated. For improving the high exploration and exploitation to find the global optimum and robustness of our new approach the obtained results by M-GWO are compared with Grey Wolf Optimizer (GWO) and particle swarm optimization (PSO) methods.
VL  - 9
IS  - 3
ER  -

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Author Information

Adel Yahiaoui

Electrical Engineering Department, Yahia Fares University, Medea, Algeria
Abdelhalim Tlemçani
Abdellah Kouzou

Faculty of Science and Technology, Ziane Achour University, Djelfa, Algeria

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APA Style

Adel Yahiaoui, Abdelhalim Tlemçani, Abdellah Kouzou. (2021). Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Automation, Control and Intelligent Systems, 9(3), 73-88. https://doi.org/10.11648/j.acis.20210903.11

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ACS Style

Adel Yahiaoui; Abdelhalim Tlemçani; Abdellah Kouzou. Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Autom. Control Intell. Syst. 2021, 9(3), 73-88. doi: 10.11648/j.acis.20210903.11

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AMA Style

Adel Yahiaoui, Abdelhalim Tlemçani, Abdellah Kouzou. Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification. Autom Control Intell Syst. 2021;9(3):73-88. doi: 10.11648/j.acis.20210903.11

Copy | Download

@article{10.11648/j.acis.20210903.11,
  author = {Adel Yahiaoui and Abdelhalim Tlemçani and Abdellah Kouzou},
  title = {Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification},
  journal = {Automation, Control and Intelligent Systems},
  volume = {9},
  number = {3},
  pages = {73-88},
  doi = {10.11648/j.acis.20210903.11},
  url = {https://doi.org/10.11648/j.acis.20210903.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20210903.11},
  abstract = {Photovoltaic and wind energy are the most promising as a future energy technology and can be classified as a clean sources of electric energy in the world. Size optimization of the hybrid renewable energy system play an important role in minimizing the total cost of the system (TCS) and suitable load supply. The main focus of this research is to develop the efficient approach for the optimization of hybrid renewable energy system composed by photovoltaic area, wind turbine (WT), diesel generator (DG) and battery bank (BB). For this purpose, this paper proposes a new metaheuristic technique called modified grey wolf optimizer (M-GWO) for minimize the TCS of the hybrid system considering power balanced between the components. The study of reliability with loss power supply probability (LPSP), the energy not supplied (ENS) and the reliability of the power supply (RPS) methods are demonstrated. For improving the high exploration and exploitation to find the global optimum and robustness of our new approach the obtained results by M-GWO are compared with Grey Wolf Optimizer (GWO) and particle swarm optimization (PSO) methods.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Optimization, Power Management and Reliability Evaluation of Hybrid Wind-PV-Diesel-Battery System for Rural Electrification
AU  - Adel Yahiaoui
AU  - Abdelhalim Tlemçani
AU  - Abdellah Kouzou
Y1  - 2021/08/18
PY  - 2021
N1  - https://doi.org/10.11648/j.acis.20210903.11
DO  - 10.11648/j.acis.20210903.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 73
EP  - 88
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20210903.11
AB  - Photovoltaic and wind energy are the most promising as a future energy technology and can be classified as a clean sources of electric energy in the world. Size optimization of the hybrid renewable energy system play an important role in minimizing the total cost of the system (TCS) and suitable load supply. The main focus of this research is to develop the efficient approach for the optimization of hybrid renewable energy system composed by photovoltaic area, wind turbine (WT), diesel generator (DG) and battery bank (BB). For this purpose, this paper proposes a new metaheuristic technique called modified grey wolf optimizer (M-GWO) for minimize the TCS of the hybrid system considering power balanced between the components. The study of reliability with loss power supply probability (LPSP), the energy not supplied (ENS) and the reliability of the power supply (RPS) methods are demonstrated. For improving the high exploration and exploitation to find the global optimum and robustness of our new approach the obtained results by M-GWO are compared with Grey Wolf Optimizer (GWO) and particle swarm optimization (PSO) methods.
VL  - 9
IS  - 3
ER  -

Copy | Download