Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm

Hybrid systems are counted as the best alternatives for environmental and power difficulties. To optimize any system in order to attain an economic system with a lower cost, sizing is required. In addition, an Energy Management Strategy (EMS) for controlling the flowing power in the system to supply...

Full description

Bibliographic Details
Main Authors: Alsharif, Abdulgader, Tan, Chee Wei, Ayop, Razman, Lau, Kwan Yiew, Toh, Chuen Ling
Format: Conference or Workshop Item
Published: 2021
Subjects:
_version_ 1796866264495292416
author Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Lau, Kwan Yiew
Toh, Chuen Ling
author_facet Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Lau, Kwan Yiew
Toh, Chuen Ling
author_sort Alsharif, Abdulgader
collection ePrints
description Hybrid systems are counted as the best alternatives for environmental and power difficulties. To optimize any system in order to attain an economic system with a lower cost, sizing is required. In addition, an Energy Management Strategy (EMS) for controlling the flowing power in the system to supply the load is required. A metaheuristic optimization algorithm called Cuckoo Search Algorithm (CSA) is complemented with EMS to control and solve optimization problems for the residential area in Tripoli-Libya. In order to increase the utilization of renewable energy sources (RESs) as Photovoltaic (PV) and Wind Turbine (WT), a microgrid system was proposed with the aforementioned RESs, with battery (BT) and, Electric Vehicle (EV) in terms of Vehicle-To-Grid (V2G). The sizing of the components is performed to attain the proposed objective that termed Renewable Energy Fraction (REV) to be increased. The area of study is fortunate with different climatology conditions to produce energy through different seasons. The result demonstrated that the objective function has been achieved due to the high potential of RES in the study area. The proposed method could provide a system with a fewer number of components. The proposed system may be helpful in reducing the dependency on the utility grid by using the RESs and improving the standard of living of human beings.
first_indexed 2024-03-05T21:09:32Z
format Conference or Workshop Item
id utm.eprints-96642
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T21:09:32Z
publishDate 2021
record_format dspace
spelling utm.eprints-966422022-08-15T04:25:32Z http://eprints.utm.my/96642/ Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm Alsharif, Abdulgader Tan, Chee Wei Ayop, Razman Lau, Kwan Yiew Toh, Chuen Ling TK Electrical engineering. Electronics Nuclear engineering Hybrid systems are counted as the best alternatives for environmental and power difficulties. To optimize any system in order to attain an economic system with a lower cost, sizing is required. In addition, an Energy Management Strategy (EMS) for controlling the flowing power in the system to supply the load is required. A metaheuristic optimization algorithm called Cuckoo Search Algorithm (CSA) is complemented with EMS to control and solve optimization problems for the residential area in Tripoli-Libya. In order to increase the utilization of renewable energy sources (RESs) as Photovoltaic (PV) and Wind Turbine (WT), a microgrid system was proposed with the aforementioned RESs, with battery (BT) and, Electric Vehicle (EV) in terms of Vehicle-To-Grid (V2G). The sizing of the components is performed to attain the proposed objective that termed Renewable Energy Fraction (REV) to be increased. The area of study is fortunate with different climatology conditions to produce energy through different seasons. The result demonstrated that the objective function has been achieved due to the high potential of RES in the study area. The proposed method could provide a system with a fewer number of components. The proposed system may be helpful in reducing the dependency on the utility grid by using the RESs and improving the standard of living of human beings. 2021 Conference or Workshop Item PeerReviewed Alsharif, Abdulgader and Tan, Chee Wei and Ayop, Razman and Lau, Kwan Yiew and Toh, Chuen Ling (2021) Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm. In: 5th IEEE Conference on Energy Conversion, CENCON 2021, 25 October 2021, Johor Bahru, Malaysia. http://dx.doi.org/10.1109/CENCON51869.2021.9627291
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Alsharif, Abdulgader
Tan, Chee Wei
Ayop, Razman
Lau, Kwan Yiew
Toh, Chuen Ling
Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title_full Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title_fullStr Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title_full_unstemmed Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title_short Sizing of photovoltaic wind battery system integrated with vehicle-to-grid using Cuckoo search algorithm
title_sort sizing of photovoltaic wind battery system integrated with vehicle to grid using cuckoo search algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT alsharifabdulgader sizingofphotovoltaicwindbatterysystemintegratedwithvehicletogridusingcuckoosearchalgorithm
AT tancheewei sizingofphotovoltaicwindbatterysystemintegratedwithvehicletogridusingcuckoosearchalgorithm
AT ayoprazman sizingofphotovoltaicwindbatterysystemintegratedwithvehicletogridusingcuckoosearchalgorithm
AT laukwanyiew sizingofphotovoltaicwindbatterysystemintegratedwithvehicletogridusingcuckoosearchalgorithm
AT tohchuenling sizingofphotovoltaicwindbatterysystemintegratedwithvehicletogridusingcuckoosearchalgorithm