A rule-based power management strategy for Vehicle-to-Grid system using antlion sizing optimization. (September 2021)

• Record Type: Journal Article
• Authors: Alsharif, Abdulgader; Tan, Chee Wei; Ayop, Razman; Lau, Kwan Yiew; Dobi, Abdulhakeem Moh'd
• Is Part Of: Journal of energy storage. Volume 41(2021)
• Publication Date: 2021-09
• Subjects: Grid-connected -- Ant Lion Optimizer -- Microgrid -- Vehicle-to-Grid -- Renewable Energy Sources -- Rule-Based Energy Management Strategy; AD Autonomy Days -- ALO Ant lion optimization -- CERTS Consortium Electric Reliability Technology Solution -- COE Cost of electricity -- CRF Capital recovery factor -- CSA Cuckoo Search Algorithm -- CSERS center for Solar Energy Research and Studies -- DG Distributed Generator -- EV Electric Vehicle -- EVCS Electric Vehicle Charge Station -- GECOL General Electricity Company of Libya -- G2V Grid-to-Vehicle -- GHG Greenhouse Gas -- GWA Ground Water Authority -- IRESs Integrated Renewable Energy Sources -- LAEC Libya Atomic Energy Corporation -- LPSP Losses Power Supply Probability -- NECL National Energy Council of Libya -- NOC National Oil Committee -- PSO Practice Swarm Optimization -- PV Photovoltaic -- REAOL Renewable Energy Authority of Libya -- RESs Renewable Energy Sources -- REF Renewable Energy Fraction -- SDG7 Sustainable Development Goal -- UN United Nations -- V2G Vehicle-to-Grid -- WT Wind Turbine; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2021.102913
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: RESs are the best alternative for providing green energy such as PV and WT. V2G technology is providing the best power exchange and reducing the dependency on the utility grid. The ALO algorithm solved the difficulties faces by PSO and CSA. Utilizing an RB-EMS is a great option for flown the power smoothly among the system. The proposed method shows better performance in terms of cost and reliability. Abstract: Stable and reliable electricity is a prerequisite to the development of any nation and improving the living standard of the society. By exploiting Renewable Energy Sources (RESs) such as solar energy (PV) and wind energy (WT) as widely acknowledged RESs to be more environmentally friendly and address power difficulties. They are acknowledged to be an interesting option to charge Electric Vehicles (EVs) via Vehicle-to-Grid (V2G) technology. On the contrary, to the best knowledge of the authors, there are few numbers published articles on RESs (PV and WT) integrated with Electric Vehicle Charging Station (EVCS) to charge EVs. This research is aimed at implementing a metaheuristic optimization algorithm named Antlion Optimizer (ALO) algorithm for sizing the system components to meet the load demand and minimize the two objective functions - Losses Power Supply Probability (LPSP) and Cost of Electricity (COE) while maximizing the Renewable Energy Fraction (REF). In addition, the Rule-Based Energy Management Strategy (RB-EMS) is proposed to control the flow of power in the system. The integration of RESs to the utility grid with V2G technology and V2G services is discussed. Furthermore, the State-of-the-art for improving the stability and reliability of the grid-connected system is presented. As a result, the attained result from the proposed method shows better performance results as 0.0936 $/kWh, 0.1044%, and 0.9940% for COE, LPSP, and REF, respectively. The research is conducted in different microgrid configurations using a MATLAB environment.