Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review

A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. Recent advancements in cloud computing have begun to del...

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Main Authors: AL-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Amir M.
Other Authors: 57212194331
Format: Review
Published: Elsevier Ltd 2024
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spelling my.uniten.dspace-339782024-10-14T11:17:34Z Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review AL-Jumaili A.H.A. Muniyandi R.C. Hasan M.K. Singh M.J. Paw J.K.S. Amir M. 57212194331 14030355800 55057479600 58765817900 58168727000 57210089902 Battery life Battery management Cloud computing Power consumption Renewable energy systems State of charge Adaptive control systems Battery management systems Charging (batteries) Cloud computing Computing power Electric power distribution Electric power transmission Green computing Renewable energy resources Search engines Secondary batteries Battery life Battery Management Cloud-computing Energy systems Hybrid renewable energies Optimization system Power Optimization Renewable energies Renewable energy system States of charges Electric power utilization A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. Recent advancements in cloud computing have begun to deliver critical insights, resulting in adaptive-based control of storage systems with improved performance. This study aims to review the recently published literature on the topic of power management systems and battery charging control. The role of intelligent based cloud computing is to improve the battery life and manage the battery state of charge (SoC). To achieve this purpose, publishers� databases and search engines were used to obtain the studies reviewed in this paper. We identify and review the purpose, achievements, tools/algorithm, and recommendations for each survey work, and thus outline a number of key findings and future directions. Furthermore, the review includes a listing of novels and recently used algorithms. Additionally, a critical review of 174 research articles were analyzed as per Web of Science (WoS) and Scopus database. The key findings of this study are discussed in two key conceptual frameworks that contain a power optimization system and an optimal battery management system. The power transmission, distribution, and charge and discharge processes are controlled and stored on cloud computing using the power mix between hybrid renewable energy and other power sources. � 2023 The Author(s) Final 2024-10-14T03:17:34Z 2024-10-14T03:17:34Z 2023 Review 10.1016/j.egyr.2023.09.029 2-s2.0-85171323575 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171323575&doi=10.1016%2fj.egyr.2023.09.029&partnerID=40&md5=e0dbc7b80dc1dff0de0f89edbe660e34 https://irepository.uniten.edu.my/handle/123456789/33978 10 2206 2227 All Open Access Gold Open Access Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Battery life
Battery management
Cloud computing
Power consumption
Renewable energy systems
State of charge
Adaptive control systems
Battery management systems
Charging (batteries)
Cloud computing
Computing power
Electric power distribution
Electric power transmission
Green computing
Renewable energy resources
Search engines
Secondary batteries
Battery life
Battery Management
Cloud-computing
Energy systems
Hybrid renewable energies
Optimization system
Power Optimization
Renewable energies
Renewable energy system
States of charges
Electric power utilization
spellingShingle Battery life
Battery management
Cloud computing
Power consumption
Renewable energy systems
State of charge
Adaptive control systems
Battery management systems
Charging (batteries)
Cloud computing
Computing power
Electric power distribution
Electric power transmission
Green computing
Renewable energy resources
Search engines
Secondary batteries
Battery life
Battery Management
Cloud-computing
Energy systems
Hybrid renewable energies
Optimization system
Power Optimization
Renewable energies
Renewable energy system
States of charges
Electric power utilization
AL-Jumaili A.H.A.
Muniyandi R.C.
Hasan M.K.
Singh M.J.
Paw J.K.S.
Amir M.
Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
description A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. Recent advancements in cloud computing have begun to deliver critical insights, resulting in adaptive-based control of storage systems with improved performance. This study aims to review the recently published literature on the topic of power management systems and battery charging control. The role of intelligent based cloud computing is to improve the battery life and manage the battery state of charge (SoC). To achieve this purpose, publishers� databases and search engines were used to obtain the studies reviewed in this paper. We identify and review the purpose, achievements, tools/algorithm, and recommendations for each survey work, and thus outline a number of key findings and future directions. Furthermore, the review includes a listing of novels and recently used algorithms. Additionally, a critical review of 174 research articles were analyzed as per Web of Science (WoS) and Scopus database. The key findings of this study are discussed in two key conceptual frameworks that contain a power optimization system and an optimal battery management system. The power transmission, distribution, and charge and discharge processes are controlled and stored on cloud computing using the power mix between hybrid renewable energy and other power sources. � 2023 The Author(s)
author2 57212194331
author_facet 57212194331
AL-Jumaili A.H.A.
Muniyandi R.C.
Hasan M.K.
Singh M.J.
Paw J.K.S.
Amir M.
format Review
author AL-Jumaili A.H.A.
Muniyandi R.C.
Hasan M.K.
Singh M.J.
Paw J.K.S.
Amir M.
author_sort AL-Jumaili A.H.A.
title Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
title_short Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
title_full Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
title_fullStr Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
title_full_unstemmed Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
title_sort advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: a comprehensive review
publisher Elsevier Ltd
publishDate 2024
_version_ 1814061160644739072
score 13.209306