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.
| 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), 2021. Published by Science Publishing Group |
HPWDBS, LPSP, M-GWO, GWO, PSO
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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
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
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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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}
}
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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